| 21. |
- Park, Yikyung, et al.
(författare)
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Intakes of vitamins A, C, and E and use of multiple vitamin supplements and risk of colon cancer : a pooled analysis of prospective cohort studies
- 2010
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Ingår i: Cancer Causes and Control. - : Springer Science and Business Media LLC. - 0957-5243 .- 1573-7225. ; 21:11, s. 1745-1757
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Tidskriftsartikel (refereegranskat)abstract
- To evaluate the associations between intakes of vitamins A, C, and E and risk of colon cancer. Using the primary data from 13 cohort studies, we estimated study- and sex-specific relative risks (RR) with Cox proportional hazards models and subsequently pooled RRs using a random effects model. Among 676,141 men and women, 5,454 colon cancer cases were identified (7-20 years of follow-up across studies). Vitamin A, C, and E intakes from food only were not associated with colon cancer risk. For intakes from food and supplements (total), the pooled multivariate RRs (95% CI) were 0.88 (0.76-1.02, > 4,000 vs. a parts per thousand currency sign1,000 mu g/day) for vitamin A, 0.81 (0.71-0.92, > 600 vs. a parts per thousand currency sign100 mg/day) for vitamin C, and 0.78 (0.66-0.92, > 200 vs. a parts per thousand currency sign6 mg/day) for vitamin E. Adjustment for total folate intake attenuated these associations, but the inverse associations with vitamins C and E remained significant. Multivitamin use was significantly inversely associated with colon cancer risk (RR = 0.88, 95% CI: 0.81-0.96). Modest inverse associations with vitamin C and E intakes may be due to high correlations with folate intake, which had a similar inverse association with colon cancer. An inverse association with multivitamin use, a major source of folate and other vitamins, deserves further study.
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| 22. |
- Schouten, Leo J., et al.
(författare)
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Height, body mass index, and ovarian cancer : A pooled analysis of 12 cohort studies
- 2008
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Ingår i: Cancer Epidemiology, Biomarkers and Prevention. - : AMER ASSOC CANCER RESEARCH. - 1055-9965 .- 1538-7755. ; 17:4, s. 902-912
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Tidskriftsartikel (refereegranskat)abstract
- Background: Although many studies have investigated the association between anthropometry and ovarian cancer risk, results have been inconsistent. Methods: The associations of height, body mass index (BMI), and ovarian cancer risk were examined in a pooled analysis of primary data from 12 prospective cohort studies from North America and Europe. The study population consisted of 531,583 women among whom 2,036 epithelial ovarian cancer cases were identified. To summarize associations, study-specific relative risks (RR) were estimated using the Cox proportional hazards model and then combined using a random-effects model. Results: Women with height >= 1.70 m had a pooled multivariate RR of 1.38 [95% confidence interval (95% CI), 1.16-1-65] compared with those with height <1.60 m. For the same comparison, multivariate RRs were 1.79 (95% CI, 1.07-3.00) for premenopausal and 1.25 (95% CI, 1.04-1.49) for postmenopausal ovarian cancer (P(interaction) = 0.14). The multivariate RR for women with a BMI >= 30 kg/m(2) was 1.03 (95% CI, 0.86-1.22) compared with women with a BMI from 18.5 to 23 kg/m(2). For the same comparison, multivariate RRs were 1.72 (95% CI, 1.02-2.89) for premenopausal and 1.07 (95% CI, 0.87-1.33) for postmenopausal women (P(interaction) = 0.07). There was no statistically significant heterogeneity between studies with respect to height or BMI. BMI in early adulthood was not associated with ovarian cancer risk. Conclusion: Height was associated with an increased ovarian cancer risk, especially in premenopausal women. BMI was not associated with ovarian cancer risk in postmenopausal women but was positively associated with risk in premenopausal women.
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| 23. |
- Smith-Warner, Stephanie A., et al.
(författare)
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Methods for pooling results of epidemiologic studies - The pooling project of prospective studies of diet and cancer
- 2006
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Ingår i: American Journal of Epidemiology. - Harvard Univ, Sch Publ Hlth, Dept Nutr, Boston, MA 02115 USA. Harvard Univ, Sch Publ Hlth, Dept Epidemiol, Boston, MA 02115 USA. Harvard Univ, Sch Publ Hlth, Dept Biostat, Boston, MA 02115 USA. NCI, Nutr Epidemiol Branch, Bethesda, MD USA. Loma Linda Univ, Sch Med, Ctr Hlth Res, Loma Linda, CA 92350 USA. Univ So Calif, Dept Prevent Med, Los Angeles, CA USA. Univ So Calif, Norris Comprehens Canc Ctr, Los Angeles, CA USA. NCI, Epidemiol Unit, Milan, Italy. Maastricht Univ, Fac Hlth Sci, Dept Epidemiol, Maastricht, Netherlands. Brigham & Womens Hosp, Dept Med, Div Prevent Med, Boston, MA USA. Harvard Univ, Sch Med, Boston, MA USA. Brigham & Womens Hosp, Dept Med, Channing Lab, Boston, MA USA. Brigham & Womens Hosp, Dept Med, Channing Lab, Boston, MA 02115 USA. Harvard Univ, Ctr Canc Prevent, Boston, MA USA. Univ Minnesota, Sch Publ Hlth, Div Epidemiol & Community Hlth, Minneapolis, MN USA. SUNY Buffalo, Dept Social & Prevent Med, Buffalo, NY USA. TNO Qual Life, Dept Epidemiol, Zeist, Netherlands. No Calif Canc Ctr, Fremont, CA USA. NCI, Div Canc Epidemiol & Genet, Bethesda, MD USA. Amer Canc Soc, Epidemiol & Surveilliance Res, Atlanta, GA USA. Univ Toronto, Fac Med, Dept Publ Hlth Sci, Toronto, ON, Canada. Albert Einstein Coll Med, Dept Epidemiol & Populat Hlth, Bronx, NY USA. NYU, Sch Med, Dept Environm Med, New York, NY USA. Natl Publ Hlth Inst, Dept Epidemiol & Hlth Promot, Helsinki, Finland. Natl Inst Environm Med, Div Nutr Epidemiol, Stockholm, Sweden. : OXFORD UNIV PRESS INC. - 0002-9262 .- 1476-6256. ; 163:11, s. 1053-1064
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Tidskriftsartikel (refereegranskat)abstract
- With the growing number of epidemiologic publications on the relation between dietary factors and cancer risk, pooled analyses that summarize results from multiple studies are becoming more common. Here, the authors describe the methods being used to summarize data on diet-cancer associations within the ongoing Pooling Project of Prospective Studies of Diet and Cancer, begun in 1991. In the Pooling Project, the primary data from prospective cohort studies meeting prespecified inclusion criteria are analyzed using standardized criteria for modeling of exposure, confounding, and outcome variables. In addition to evaluating main exposure-disease associations, analyses are also conducted to evaluate whether exposure-disease associations are modified by other dietary and nondietary factors or vary among population subgroups or particular cancer subtypes. Study-specific relative risks are calculated using the Cox proportional hazards model and then pooled using a random- or mixed-effects model. The study-specific estimates are weighted by the inverse of their variances in forming summary estimates. Most of the methods used in the Pooling Project may be adapted for examining associations with dietary and nondietary factors in pooled analyses of case-control studies or case-control and cohort studies combined.
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