Document Detail


Vegetable and fruit consumption and prostate cancer risk: a cohort study in The Netherlands.
MedLine Citation:
PMID:  9718219     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
The association between 21 vegetables and eight fruits and prostate cancer risk was assessed in the Netherlands Cohort Study among 58,279 men of ages 55-69 years at baseline in 1986. After 6.3 years of follow-up, 610 cases with complete vegetable data and 642 cases with complete fruit data were available for analysis. In multivariate case-cohort analyses, the following rate ratios (RRs) and 95% confidence intervals (CIs) for vegetable consumption were found (comparing highest versus lowest quintile): total vegetables (RR, 0.80; CI, 0.57-1.12); prepared vegetables (RR, 0.85; CI, 0.61-1.19); and raw vegetables (RR, 0.96; CI, 0.69-1.34). For vegetables categorized in botanical groups, no associations were found except for consumption of pulses (RR, 0.71; CI, 0.51-0.98; P for trend, 0.01). The RRs for total fruit and citrus fruit were 1.31 (CI, 0.96-1.79) and 1.27 (CI, 0.93-1.73), respectively; the corresponding Ps for trend were 0.02 and 0.01, respectively. In a continuous model, no association for total fruit was observed. Individual vegetables and fruits were evaluated as continuous variables (g/day). Nonsignificant inverse associations (RRs per increment of 25 g/day) were found for consumption of kale (RR, 0.74), raw endive (RR, 0.72), mandarins (RR, 0.75), and raisins or other dried fruit (RR, 0.49). Observed positive associations were significant for consumption of leek (RR, 1.38) and oranges (RR, 1.07) and nonsignificant for sweet peppers (RR, 1.60) and mushrooms (RR, 1.49). Results in subgroups of cases were more or less consistent with the overall results. From our study, we cannot conclude that vegetable consumption is important in prostate cancer etiology, but for certain vegetables or fruits, an association cannot be excluded.
Authors:
A G Schuurman; R A Goldbohm; E Dorant; P A van den Brandt
Related Documents :
22968349 - Thyroid hormones and thyroid disease in relation to perchlorate dose and residence near...
2321619 - Use of electric blankets and risk of testicular cancer.
24446669 - Hair iodine for human iodine status assessment.
16855969 - Drugs for treatment of very high blood pressure during pregnancy.
8120679 - A predictive index for functional decline in hospitalized elderly medical patients.
6950819 - Genetic heterogeneity of diabetes and hla.
8231039 - The increased risk of coronary heart disease associated with nephrotic syndrome.
19622529 - Throwing workload and injury risk in elite cricketers.
15976369 - C-c chemokine receptor 5 gene variants in relation to lung disease in sarcoidosis.
Publication Detail:
Type:  Journal Article; Research Support, Non-U.S. Gov't    
Journal Detail:
Title:  Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology     Volume:  7     ISSN:  1055-9965     ISO Abbreviation:  Cancer Epidemiol. Biomarkers Prev.     Publication Date:  1998 Aug 
Date Detail:
Created Date:  1998-11-10     Completed Date:  1998-11-10     Revised Date:  2006-11-15    
Medline Journal Info:
Nlm Unique ID:  9200608     Medline TA:  Cancer Epidemiol Biomarkers Prev     Country:  UNITED STATES    
Other Details:
Languages:  eng     Pagination:  673-80     Citation Subset:  IM    
Affiliation:
Department of Epidemiology, Maastricht University, The Netherlands. AG.Schuurman@Epid.UniMass.NL
Export Citation:
APA/MLA Format     Download EndNote     Download BibTex
MeSH Terms
Descriptor/Qualifier:
Age Distribution
Aged
Cohort Studies
Confidence Intervals
Dietary Fiber / administration & dosage*
Fruit*
Humans
Incidence
Male
Middle Aged
Multivariate Analysis
Netherlands / epidemiology
Prostatic Neoplasms / epidemiology*,  prevention & control
Questionnaires
Risk Factors
Vegetables*

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


Previous Document:  Fiber intake and risk of colorectal cancer.
Next Document:  Measuring mammography compliance: lessons learned from a survival analysis of screening behavior.