| 1. |
- Noethlings, Ute, et al.
(författare)
-
Intake of vegetables, legumes, and fruit, and risk for all-cause, cardiovascular, and cancer mortality in a European diabetic population
- 2008
-
Ingår i: Journal of Nutrition. - 1541-6100. ; 138:4, s. 775-781
-
Tidskriftsartikel (refereegranskat)abstract
- We examined the associations of intake of vegetables, legumes and fruit with all-cause and cause-specific mortality in a population with prevalent diabetes in Europe. A cohort of 10,449 participants with self-reported diabetes within the European Prospective Investigation into Cancer and Nutrition study was followed for a mean of 9 y. Intakes of vegetables, legumes, and fruit were assessed at baseline between 1992 and 2000 using validated country-specific questionnaires. A total of 1346 deaths occurred. Multivariate relative risks (RR) for all-cause mortality were estimated in Cox regression models and FIR for cause-specific mortality were derived in a competing risk model. An increment in intake of total vegetables, legumes, and fruit of 80 g/d was associated with a RR of death from all causes of 0.94 [95% CI 0.90-0.98]. Analyzed separately, vegetables and legumes were associated with a significantly reduced risk, whereas nonsignificant inverse associations for fruit intake were observed. Cardiovascular disease (CVD) mortality and mortality due to non-CVD/non-cancer causes were significantly inversely associated with intake of total vegetables, legumes, and fruit (RR 0.88 [95% CI 0.81-0.95] and 0.90 [0.82-0.99], respectively) but not cancer mortality 0.08 [0.99-1.17]). Intake of vegetables, legumes, and fruit was associated with reduced risks of all-cause and CVD mortality in a diabetic population. The findings support the current state of evidence from general population studies that the protective potential of vegetable and fruit intake is larger for CVD than for cancer and suggest that diabetes patients may benefit from a diet high in vegetables and fruits.
|
|
| 2. |
|
|
| 3. |
- Crowe, Francesca L., et al.
(författare)
-
Dietary fat intake and risk of prostate cancer in the European Prospective Investigation into Cancer and Nutrition
- 2008
-
Ingår i: American Journal of Clinical Nutrition. - 1938-3207. ; 87:5, s. 1405-1413
-
Tidskriftsartikel (refereegranskat)abstract
- Background: Findings from early observational studies have suggested that the intake of dietary fat might be a contributing factor in the etiology of prostate cancer. However, the results from more recent prospective studies do not support this hypothesis, and the possible association between different food sources of fat and prostate cancer risk also remains unclear. Objective: The objectives were to assess whether intakes of dietary fat, subtypes of fat, and fat from animal products were associated with prostate cancer risk. Design: This was a multicenter prospective study of 142 520 men in the European Prospective Investigation into Cancer and Nutrition (EPIC). Dietary fat intake was estimated with the use of country-specific validated food questionnaires. The association between dietary fat and risk of prostate cancer was assessed by using Cox regression, stratified by recruitment center and adjusted for height, weight, smoking, education, marital status, and energy intake. Results: After a median follow-up time of 8.7 y, prostate cancer was diagnosed in 2727 men. There was no significant association between dietary fat (total, saturated, monounsaturated, and polyunsaturated fat and the ratio of polyunsaturated to saturated fat) and risk of prostate cancer. The hazard ratio for prostate cancer for the highest versus the lowest quintile of total fat intake was 0.96 (95% CI: 0.84, 1.09; P for trend = 0.155). There were no significant associations between prostate cancer risk and fat from red meat, dairy products, and fish. Conclusion: The results from this large multicenter study suggest that there is no association between dietary fat and prostate cancer risk.
|
|
| 4. |
|
|
| 5. |
- Johansson, Mattias, et al.
(författare)
-
Circulating concentrations of folate and vitamin B12 in relation to prostate cancer risk : results from the European prospective investigation into cancer and nutrition study
- 2008
-
Ingår i: Cancer Epidemiol Biomarkers Prev. - 1055-9965. ; 17:2, s. 279-285
-
Tidskriftsartikel (refereegranskat)abstract
- Background: Determinants of one-carbon metabolism, such as folate and vitamin B12, have been implicated in cancer development. Previous studies have not provided conclusive evidence for the importance of circulating concentrations of folate and vitamin B12 in prostate cancer etiology. The aim of the present study was to investigate the relationship between prostate cancer risk and circulating concentrations of folate and vitamin B12 in a large prospective cohort. Methods: We analyzed circulating concentrations of folate and vitamin B12 in 869 cases and 1,174 controls, individually matched on center, age, and date of recruitment, nested within the European Prospective Investigation into Cancer and Nutrition cohort. Relative risks (RR) for prostate cancer were estimated using conditional logistic regression models. Results: Overall, no significant associations were observed for circulating concentrations of folate (Ptrend = 0.62) or vitamin B12 (Ptrend = 0.21) with prostate cancer risk. RRs for a doubling in folate and vitamin B12 concentrations were 1.03 [95% confidence interval (95% CI), 0.92-1.16] and 1.12 (95% CI, 0.94-1.35), respectively. In the subgroup of cases diagnosed with advanced stage prostate cancer, elevated concentrations of vitamin B12 were associated with increased risk (RR for a doubling in concentration, 1.69; 95% CI, 1.05-2.72, Ptrend = 0.03). No other subgroup analyses resulted in a statistically significant association. Conclusion: This study does not provide strong support for an association between prostate cancer risk and circulating concentrations of folate or vitamin B12. Elevated concentrations of vitamin B12 may be associated with an increased risk for advanced stage prostate cancer, but this association requires examination in other large prospective studies. (Cancer Epidemiol Biomarkers Prev 2007;17(2):279–85)
|
|
| 6. |
|
|
| 7. |
- Britton, Julie A, et al.
(författare)
-
Anthropometric characteristics and non-Hodgkin's lymphoma and multiple myeloma risk in the European Prospective Investigation into Cancer and Nutrition (EPIC).
- 2008
-
Ingår i: Haematologica. - : Ferrata Storti Foundation (Haematologica). - 0390-6078 .- 1592-8721. ; 93:11, s. 1666-1677
-
Tidskriftsartikel (refereegranskat)abstract
- BACKGROUND:The incidences of non-Hodgkin's lymphoma and multiple myeloma are increasing steadily. It has been hypothesized that this may be due, in part, to the parallel rising prevalence of obesity. It is biologically plausible that anthropometric characteristics can infuence the risk of non-Hodgkin's lymphoma and multiple myeloma.DESIGN AND METHODS:In the context of the European Prospective Investigation into Cancer and Nutrition (EPIC), anthropometric characteristics were assessed in 371,983 cancer-free individuals at baseline. During the 8.5 years of follow-up, 1,219 histologically confirmed incident cases of non-Hodgkin's lymphoma and multiple myeloma occurred in 609 men and 610 women. Gender-specific proportional hazards models were used to estimate relative risks and 95% confidence intervals (95% CI) of development of non-Hodgkin's lymphoma and multiple myeloma in relation to the anthropometric characteristics.RESULTS:Height was associated with overall non-Hodgkin's lymphoma and multiple myeloma in women (RR 1.50, 95% CI 1.14-1.98) for highest versus lowest quartile; p-trend < 0.01) but not in men. Neither obesity (weight and body mass index) nor abdominal fat (waist-to-hip ratio, waist or hip circumference) measures were positively associated with overall non-Hodgkin's lymphoma and multiple myeloma. Relative risks for highest versus lowest body mass index quartile were 1.09 (95% CI 0.85-1.38) and 0.92 (95% CI 0.71-1.19) for men and women, respectively. Women in the upper body mass index quartile were at greater risk of diffuse large B-cell lymphoma (RR 2.18, 95% CI 1.05-4.53) and taller women had an elevated risk of follicular lymphoma (RR 1.25, 95% CI 0.59-2.62). Among men, height and body mass index were non-significantly, positively related to follicular lymphoma. Multiple myeloma risk alone was elevated for taller women (RR 2.34, 95% CI 1.29-4.21) and heavier men (RR 1.77, 95% CI 1.02-3.05).CONCLUSIONS:The EPIC analyses support an association between height and overall non-Hodgkin's lymphoma and multiple myeloma among women and suggest heterogeneous subtype associations. This is one of the first prospective studies focusing on central adiposity and non-Hodgkin's lymphoma subtypes.
|
|
| 8. |
- Capella, Gabriel, et al.
(författare)
-
DNA repair polymorphisms and the risk of stomach adenocarcinoma and severe chronic gastritis in the EPIC-EURGAST study
- 2008
-
Ingår i: International Journal of Epidemiology. - : Oxford University Press (OUP). - 1464-3685 .- 0300-5771. ; 37:6, s. 1316-1325
-
Tidskriftsartikel (refereegranskat)abstract
- Background The contribution of genetic variation in DNA repair genes to gastric cancer (GC) risk remains essentially unknown. The aim of this study was to explore the relative contribution of DNA repair gene polymorphisms to GC risk and severe chronic atrophic gastritis (SCAG). Method A nested case control study within the EPIC cohort was performed including 246 gastric adenocarcinomas and 1175 matched controls. Controls with SCAG (n 91), as defined by low pepsinogen A (PGA) levels, and controls with no SCAG (n 1061) were also compared. Twelve polymorphisms at DNA repair genes (MSH2, MLH1, XRCC1, OGG1 and ERCC2) and TP53 gene were analysed. Antibodies against Helicobacter pylori were measured. Results No association was observed for any of these polymorphisms with stomach cancer risk. However, ERCC2 K751Q polymorphism was associated with an increased risk for non-cardial neoplasm [odds ratio (OR) 1.78; 95 confidence interval (CI) 1.023.12], being ERCC2 K751Q and D312N polymorphisms associated with the diffuse type. ERCC2 D312N (OR 2.0; 95 CI 1.093.65) and K751Q alleles (OR 1.82; 95 CI 1.013.30) and XRCC1 R399Q (OR 1.69; 95 CI 1.022.79) allele were associated with an increased risk for SCAG. Conclusion Our study supports a role of ERCC2 in non-cardial GC but not in cardial cancer. A concordant result was observed for subjects with low PGA levels. XRCC1 allele was associated also with SCAG. This is the first prospective study suggesting that individual variation in DNA repair may be relevant for gastric carcinogenesis, a finding that will require further confirmation validation in larger independent studies.
|
|
| 9. |
|
|
| 10. |
- Loos, Ruth J. F., et al.
(författare)
-
Common variants near MC4R are associated with fat mass, weight and risk of obesity
- 2008
-
Ingår i: Nature Genetics. - : Springer Science and Business Media LLC. - 1546-1718 .- 1061-4036. ; 40:6, s. 768-775
-
Tidskriftsartikel (refereegranskat)abstract
- To identify common variants influencing body mass index (BMI), we analyzed genome-wide association data from 16,876 individuals of European descent. After previously reported variants in FTO, the strongest association signal (rs17782313, P = 2.9 x 10(-6)) mapped 188 kb downstream of MC4R (melanocortin-4 receptor), mutations of which are the leading cause of monogenic severe childhood-onset obesity. We confirmed the BMI association in 60,352 adults (per-allele effect = 0.05 Z-score units; P = 2.8 x 10(-15)) and 5,988 children aged 7-11 (0.13 Z-score units; P = 1.5 x 10(-8)). In case-control analyses (n = 10,583), the odds for severe childhood obesity reached 1.30 (P = 8.0 x 10(-11)). Furthermore, we observed overtransmission of the risk allele to obese offspring in 660 families (P (pedigree disequilibrium test average; PDT-avg) 2.4 x 10(-4)). The SNP location and patterns of phenotypic associations are consistent with effects mediated through altered MC4R function. Our findings establish that common variants near MC4R influence fat mass, weight and obesity risk at the population level and reinforce the need for large-scale data integration to identify variants influencing continuous biomedical traits.
|
|
