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Relationship between vegetable, fruit, fish and soybean dietary pattern and breast cancer: a meta-analysis / 中华健康管理学杂志
Chinese Journal of Health Management ; (6): 378-383, 2014.
Article in Chinese | WPRIM | ID: wpr-466393
ABSTRACT
Objective To understand the relationship between dietary patterns and breast cancer and to provide a possible scientific basis for breast cancer prevention,we performed a meta-analysis in order to evaluate the current relevant literature.Method Meta-analysis was used to pool the effect of vegetable,fruit,fish and soybean dietary patterns on the risk of breast cancer.The breast cancer risk of the highest categories compared to the lowest categories of such dietary patterns was combined using fixed effect model.Searching the database (Chinese databases included CQVIP,WANFANG medicine online,CNKI and SinoMED,and English databases included PubMed,Embase,Cochrane database,Medline and Google Scholar) for articles published between January 1997 and June 2014.All statistical analyses were performed using the Stata 11.0.Result Twelve cohort studies involving 623 536 participants and 19 707 patients with brcast cancer were found to be eligible.Our results indicate that a reasonably healthy dietary pattern (which is characterized by a high consumption of vegetables,fruit,fish and soybean) is beneficial for the prevention of breast cancer.Compared to the lowest categories of such dietary patterns,relative risk (RR) of the highest categories is 0.86 (95% CI 0.80-0.92).Conclusion A reasonably healthy dietary pattern (which is characterized by a high consumption of vegetables,fruit,fish and soybean) is beneficial for the prevention of breast cancer.

Full text: Available Index: WPRIM (Western Pacific) Type of study: Etiology study / Observational study / Systematic reviews Language: Chinese Journal: Chinese Journal of Health Management Year: 2014 Type: Article

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Full text: Available Index: WPRIM (Western Pacific) Type of study: Etiology study / Observational study / Systematic reviews Language: Chinese Journal: Chinese Journal of Health Management Year: 2014 Type: Article