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Diet, Serum Markers and Breast Cancer Mortality in China

This county‐based correlation study examined associations of breast cancer mortality with dietary habits and certain serum biochemical markers, utilizing data collected from an ecological survey in 65 Chinese rural counties. Univariate correlation and multivariate regression analysis showed that con...

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Detalles Bibliográficos
Autores principales: Guo, Wan‐De, Chow, Wong‐Ho, Zheng, Wei, Li, Jun‐Yao, Blot, William J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Blackwell Publishing Ltd 1994
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5919531/
https://www.ncbi.nlm.nih.gov/pubmed/8063609
http://dx.doi.org/10.1111/j.1349-7006.1994.tb02398.x
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author Guo, Wan‐De
Chow, Wong‐Ho
Zheng, Wei
Li, Jun‐Yao
Blot, William J.
author_facet Guo, Wan‐De
Chow, Wong‐Ho
Zheng, Wei
Li, Jun‐Yao
Blot, William J.
author_sort Guo, Wan‐De
collection PubMed
description This county‐based correlation study examined associations of breast cancer mortality with dietary habits and certain serum biochemical markers, utilizing data collected from an ecological survey in 65 Chinese rural counties. Univariate correlation and multivariate regression analysis showed that consumption of animal foods, including eggs, fish and meat, was positively linked to county‐wide mortality rates of breast cancer in Chinese women. No clear associations between breast cancer mortality rates and consumption of green vegetables, carrots and fruits were observed in this study. A modest inverse correlation between serum vitamin C levels and breast cancer mortality was observed, while selenium levels were positively related to the mortality rates. Positive correlations for serum ferritin and hemoglobin were found, in agreement with recent reports of an elevated cancer risk with increased body iron stores. Limitations of these ecological data preclude causal inferences, but the findings provide clues to breast cancer risk and protective factors in a low incidence area of the world.
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spelling pubmed-59195312018-05-11 Diet, Serum Markers and Breast Cancer Mortality in China Guo, Wan‐De Chow, Wong‐Ho Zheng, Wei Li, Jun‐Yao Blot, William J. Jpn J Cancer Res Article This county‐based correlation study examined associations of breast cancer mortality with dietary habits and certain serum biochemical markers, utilizing data collected from an ecological survey in 65 Chinese rural counties. Univariate correlation and multivariate regression analysis showed that consumption of animal foods, including eggs, fish and meat, was positively linked to county‐wide mortality rates of breast cancer in Chinese women. No clear associations between breast cancer mortality rates and consumption of green vegetables, carrots and fruits were observed in this study. A modest inverse correlation between serum vitamin C levels and breast cancer mortality was observed, while selenium levels were positively related to the mortality rates. Positive correlations for serum ferritin and hemoglobin were found, in agreement with recent reports of an elevated cancer risk with increased body iron stores. Limitations of these ecological data preclude causal inferences, but the findings provide clues to breast cancer risk and protective factors in a low incidence area of the world. Blackwell Publishing Ltd 1994-06 /pmc/articles/PMC5919531/ /pubmed/8063609 http://dx.doi.org/10.1111/j.1349-7006.1994.tb02398.x Text en
spellingShingle Article
Guo, Wan‐De
Chow, Wong‐Ho
Zheng, Wei
Li, Jun‐Yao
Blot, William J.
Diet, Serum Markers and Breast Cancer Mortality in China
title Diet, Serum Markers and Breast Cancer Mortality in China
title_full Diet, Serum Markers and Breast Cancer Mortality in China
title_fullStr Diet, Serum Markers and Breast Cancer Mortality in China
title_full_unstemmed Diet, Serum Markers and Breast Cancer Mortality in China
title_short Diet, Serum Markers and Breast Cancer Mortality in China
title_sort diet, serum markers and breast cancer mortality in china
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5919531/
https://www.ncbi.nlm.nih.gov/pubmed/8063609
http://dx.doi.org/10.1111/j.1349-7006.1994.tb02398.x
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