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Sökning: WFRF:(Beeson W. Lawrence)

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1.
  • de Gonzalez, Amy Berrington, et al. (författare)
  • Body-Mass Index and Mortality among 1.46 Million White Adults.
  • 2010
  • Ingår i: New England Journal of Medicine. - : MASSACHUSETTS MEDICAL SOC. - 0028-4793 .- 1533-4406. ; 363:23, s. 2211-2219
  • Tidskriftsartikel (refereegranskat)abstract
    • Background: A high body-mass index (BMI, the weight in kilograms divided by the square of the height in meters) is associated with increased mortality from cardiovascular disease and certain cancers, but the precise relationship between BMI and all-cause mortality remains uncertain. Methods: We used Cox regression to estimate hazard ratios and 95% confidence intervals for an association between BMI and all-cause mortality, adjusting for age, study, physical activity, alcohol consumption, education, and marital status in pooled data from 19 prospective studies encompassing 1.46 million white adults, 19 to 84 years of age (median, 58). Results: The median baseline BMI was 26.2. During a median follow-up period of 10 years (range, 5 to 28), 160,087 deaths were identified. Among healthy participants who never smoked, there was a J-shaped relationship between BMI and all-cause mortality. With a BMI of 22.5 to 24.9 as the reference category, hazard ratios among women were 1.47 (95 percent confidence interval [CI], 1.33 to 1.62) for a BMI of 15.0 to 18.4; 1.14 (95% CI, 1.07 to 1.22) for a BMI of 18.5 to 19.9; 1.00 (95% CI, 0.96 to 1.04) for a BMI of 20.0 to 22.4; 1.13 (95% CI, 1.09 to 1.17) for a BMI of 25.0 to 29.9; 1.44 (95% CI, 1.38 to 1.50) for a BMI of 30.0 to 34.9; 1.88 (95% CI, 1.77 to 2.00) for a BMI of 35.0 to 39.9; and 2.51 (95% CI, 2.30 to 2.73) for a BMI of 40.0 to 49.9. In general, the hazard ratios for the men were similar. Hazard ratios for a BMI below 20.0 were attenuated with longer-term follow-up. Conclusions: In white adults, overweight and obesity (and possibly underweight) are associated with increased all-cause mortality. All-cause mortality is generally lowest with a BMI of 20.0 to 24.9. N Engl J Med 2010;363:2211-9.
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2.
  • Koushik, Anita, et al. (författare)
  • Fruits, vegetables, and colon cancer risk in a pooled analysis of 14 cohort studies
  • 2007
  • Ingår i: Journal of the National Cancer Institute. - Univ Montreal, CHUM, Ctr Rech, Dept Social & Prevent Med, Montreal, PQ H2W 1V1, Canada. Harvard Univ, Sch Publ Hlth, Dept Nutr, Boston, MA 02115 USA. Harvard Univ, Sch Publ Hlth, Dept Biostat, Boston, MA 02115 USA. Harvard Univ, Sch Publ Hlth, Dept Epidemiol, Boston, MA 02115 USA. Loma Linda Univ, Ctr Hlth Res, Loma Linda, CA 92350 USA. Maastricht Univ, Dept Epidemiol, Maastricht, Netherlands. Amer Canc Soc, Atlanta, GA 30329 USA. Harvard Univ, Sch Med, Boston, MA 02115 USA. Brigham & Womens Hosp, Dept Med, Div Prevent Med, Boston, MA 02115 USA. Brigham & Womens Hosp, Channing Lab, Boston, MA 02115 USA. Univ Buffalo State Univ New York, Dept Social & Prevent Med, Buffalo, NY 14222 USA. Roswell Pk Canc Inst, Dept Canc Prevent & Populat Sci, Buffalo, NY 14263 USA. Dana Farber Canc Inst, Dept Adult Oncol, Boston, MA USA. TNO, Dept Food & Chem Risk Anal, Zeist, Netherlands. Univ Minnesota, Sch Publ Hlth, Div Epidemiol & Community Hlth, Minneapolis, MN USA. Wayne State Univ, Sch Med, Dept Pathol, Karmanos Canc Inst, Detroit, MI 48201 USA. Natl Canc Inst, Nutr Epidemiol Unit, I-20133 Milan, Italy. Karolinska Inst, Natl Inst Environm Med, Div Nutr Epidemiol, Stockholm, Sweden. NCI, Div Canc Epidemiol & Genet, Bethesda, MD 20892 USA. Univ Toronto, Fac Med, Dept Publ Hlth Sci, Toronto, ON, Canada. Natl Publ Hlth Inst, Dept Epidemiol & Hlth Promot, Helsinki, Finland. Albert Einstein Coll Med, Dept Epidemiol & Populat Hlth, Bronx, NY 10467 USA. AZJ, Div Epidemiol, Dept Environm Med, New York, NY USA. : OXFORD UNIV PRESS INC. - 0027-8874 .- 1460-2105. ; 99:19, s. 1471-1483
  • Tidskriftsartikel (refereegranskat)abstract
    • Background Fruit and vegetable intakes have been associated with a reduced risk of colon cancer; however, in more recent studies associations have been less consistent. Statistical power to examine associations by colon site has been limited in previous studies. Methods Fruit and vegetable intakes in relation to colon cancer risk were examined in the Pooling Project of Prospective Studies of Diet and Cancer. Relative risks (RRs) and 95% confidence intervals (Cis) were estimated separately in 14 studies using Cox proportional hazards model and then pooled using a randomeffects model. Intakes of total fruits and vegetables, total fruits, and total vegetables were categorized according to quintiles and absolute cutpoints. Analyses were conducted for colon cancer overall and for proximal and distal colon cancer separately. All statistical tests were two-sided. Results Among 756217 men and women followed for up to 6 to 20 years, depending on the study, 5838 were diagnosed with colon cancer. The pooled multivariable RRs (95% Cis) of colon cancer for the highest versus lowest quintiles of intake were 0.91 (0.82 to 1-01 1 P-trend =.19) for total fruits and vegetables, 0.93 (0.85 to 1.02, P-trend =.28) for total fruits, and 0.94 (0.86 to 1.02, P-trend =.17) for total vegetables. Similar results were observed when intakes were categorized by identical absolute cut points across studies (pooled multivariable FIR = 0.90, 95% CI = 0.77 to 1.05 for 800 or more versus <200 g/day of total fruits and vegetables, P-trend =.06). The age-standardized incidence rates of colon cancer for these two intake categories were 54 and 61 per 100000 person-years, respectively. When analyzed by colon site, the pooled multivariable RRs (95% Cis) comparing total fruit and vegetable intakes of 800 or more versus less than 200 g/day were 0.74 (0.57 to 0.95, P-trend =.02) for distal colon cancers and 1.02 (0.82 to 1.27, P-trend =.57) for proximal colon cancers. Similar site-specific associations were observed for total fruits and total vegetables. Conclusion Fruit and vegetable intakes were not strongly associated with colon cancer risk overall but may be associated with a lower risk of distal colon cancer.
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3.
  • Schouten, Leo J., et al. (författare)
  • Height, body mass index, and ovarian cancer : A pooled analysis of 12 cohort studies
  • 2008
  • Ingår i: Cancer Epidemiology, Biomarkers and Prevention. - : AMER ASSOC CANCER RESEARCH. - 1055-9965 .- 1538-7755. ; 17:4, s. 902-912
  • 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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4.
  • Smith-Warner, Stephanie A., et al. (författare)
  • Methods for pooling results of epidemiologic studies - The pooling project of prospective studies of diet and cancer
  • 2006
  • 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
  • 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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5.
  • Zhang, Xuehong, et al. (författare)
  • Risk of Colon Cancer and Coffee, Tea, and Sugar-Sweetened Soft Drink Intake : Pooled Analysis of Prospective Cohort Studies
  • 2010
  • Ingår i: Journal of the National Cancer Institute. - : OXFORD UNIV PRESS INC. - 0027-8874 .- 1460-2105. ; 102:11, s. 771-783
  • Tidskriftsartikel (refereegranskat)abstract
    • The relationships between coffee, tea, and sugar-sweetened carbonated soft drink consumption and colon cancer risk remain unresolved. We investigated prospectively the association between coffee, tea, and sugar-sweetened carbonated soft drink consumption and colon cancer risk in a pooled analysis of primary data from 13 cohort studies. Among 731 441 participants followed for up to 6-20 years, 5604 incident colon cancer case patients were identified. Study-specific relative risks (RRs) and 95% confidence intervals (CIs) were estimated using Cox proportional hazards models and then pooled using a random-effects model. All statistical tests were two-sided. Compared with nonconsumers, the pooled multivariable relative risks were 1.07 (95% CI = 0.89 to 1.30, P-trend = .68) for coffee consumption greater than 1400 g/d (about six 8-oz cups) and 1.28 (95% CI = 1.02 to 1.61, P-trend = .01) for tea consumption greater than 900 g/d (about four 8-oz cups). For sugar-sweetened carbonated soft drink consumption, the pooled multivariable relative risk comparing consumption greater than 550 g/d (about 18 oz) to nonconsumers was 0.94 (95% CI = 0.66 to 1.32, P-trend = .91). No statistically significant between-studies heterogeneity was observed for the highest category of each beverage consumed (P > .20). The observed associations did not differ by sex, smoking status, alcohol consumption, body mass index, physical activity, or tumor site (P > .05). Drinking coffee or sugar-sweetened carbonated soft drinks was not associated with colon cancer risk. However, a modest positive association with higher tea consumption is possible and requires further study.
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