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Sökning: WFRF:(Orfanos Philippos)

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1.
  • Assi, Nada, et al. (författare)
  • A treelet transform analysis to relate nutrient patterns to the risk of hormonal receptor-defined breast cancer in the European Prospective Investigation into Cancer and Nutrition (EPIC)
  • 2016
  • Ingår i: Public Health Nutrition. - 1368-9800 .- 1475-2727. ; 19:2, s. 242-254
  • Tidskriftsartikel (refereegranskat)abstract
    • Objective Pattern analysis has emerged as a tool to depict the role of multiple nutrients/foods in relation to health outcomes. The present study aimed at extracting nutrient patterns with respect to breast cancer (BC) aetiology. Design Nutrient patterns were derived with treelet transform (TT) and related to BC risk. TT was applied to twenty-three log-transformed nutrient densities from dietary questionnaires. Hazard ratios (HR) and 95 % confidence intervals computed using Cox proportional hazards models quantified the association between quintiles of nutrient pattern scores and risk of overall BC, and by hormonal receptor and menopausal status. Principal component analysis was applied for comparison. Setting The European Prospective Investigation into Cancer and Nutrition (EPIC). Subjects Women (n 334 850) from the EPIC study. Results The first TT component (TC1) highlighted a pattern rich in nutrients found in animal foods loading on cholesterol, protein, retinol, vitamins B-12 and D, while the second TT component (TC2) reflected a diet rich in -carotene, riboflavin, thiamin, vitamins C and B-6, fibre, Fe, Ca, K, Mg, P and folate. While TC1 was not associated with BC risk, TC2 was inversely associated with BC risk overall (HRQ5 v. Q1=089, 95 % CI 083, 095, P-trend<001) and showed a significantly lower risk in oestrogen receptor-positive (HRQ5 v. Q1=089, 95 % CI 081, 098, P-trend=002) and progesterone receptor-positive tumours (HRQ5 v. Q1=087, 95 % CI 077, 098, P-trend<001). Conclusions TT produces readily interpretable sparse components explaining similar amounts of variation as principal component analysis. Our results suggest that participants with a nutrient pattern high in micronutrients found in vegetables, fruits and cereals had a lower risk of BC.
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  • Benetou, Vassiliki, et al. (författare)
  • Fruit and Vegetable Intake and Hip Fracture Incidence in Older Men and Women : The CHANCES Project
  • 2016
  • Ingår i: Journal of Bone and Mineral Research. - 0884-0431 .- 1523-4681. ; 31:9, s. 1743-1752
  • Tidskriftsartikel (refereegranskat)abstract
    • The role of fruit and vegetable intake in relation to fracture prevention during adulthood and beyond is not adequately understood. We investigated the potential association between fruit and vegetable intake and hip fracture incidence in a large sample of elderly from Europe and United States. A total of 142,018 individuals (among which 116,509 women), aged ≥60 years old, from five cohorts, were followed-up prospectively for 1,911,482 person-years accumulating 5,552 hip fractures. Fruit and vegetable intake was assessed by validated, cohort-specific, food-frequency questionnaires. Ηip fractures were ascertained through national patient registers or telephone interviews/questionnaires. Adjusted hazard ratios (HR) derived by Cox proportional-hazards regression were estimated for each cohort and subsequently pooled using random-effects meta-analysis. Intake of ≤ 1 servings/day of fruit and vegetables combined was associated with 39% higher hip fracture risk [pooled adjusted HR:1.39, 95% Confidence Intervals (CIs): 1.20, 1.58] in comparison to moderate intake (>3 and ≤5 servings/day) (pfor heterogeneity  = 0.505), whereas higher intakes (>5 servings/day) were not associated with lower risk in comparison to the same reference. Associations were more evident among women. We concluded that a daily intake of one or less servings of fruits and vegetables was associated with increased hip fracture risk in relation to moderate daily intakes. Older adults with such low fruit and vegetable consumption may benefit from raising their intakes to moderate amounts in order to reduce their hip fracture risk. 
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4.
  • Chajès, Véronique, et al. (författare)
  • Plasma Elaidic Acid Level as Biomarker of Industrial Trans Fatty Acids and Risk of Weight Change: Report from the EPIC Study.
  • 2015
  • Ingår i: PLoS ONE. - : Public Library of Science. - 1932-6203. ; 10:2
  • Tidskriftsartikel (refereegranskat)abstract
    • Few epidemiological studies have examined the association between dietary trans fatty acids and weight gain, and the evidence remains inconsistent. The main objective of the study was to investigate the prospective association between biomarker of industrial trans fatty acids and change in weight within the large study European Prospective Investigation into Cancer and Nutrition (EPIC) cohort.
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5.
  • Cramer, Daniel W., et al. (författare)
  • Anti-CA15.3 and Anti-CA125 Antibodies and ovarian cancer risk : Results from the EPIC cohort
  • 2018
  • Ingår i: Cancer Epidemiology Biomarkers and Prevention. - : American Association for Cancer Research. - 1055-9965 .- 1538-7755. ; 27:7, s. 790-804
  • Tidskriftsartikel (refereegranskat)abstract
    • Background: Neoplastic and non-neoplastic events may raise levels of mucins, CA15.3, and CA125, and generate antibodies against them, but their impact on epithelial ovarian cancer (EOC) risk has not been fully defined. Methods: CA15.3, CA125, and IgG1 antibodies against them were measured in 806 women who developed EOC and 1,927 matched controls from the European Prospective Investigation of Nutrition and Cancer. Associations between epidemiologic factors and anti-mucin antibodies were evaluated using generalized linear models; EOC risks associated with anti-mucin antibodies, by themselves or in combination with respective antigens, were evaluated using conditional logistic regression. Results: In controls, lower antibodies against both mucins were associated with current smoking; and, in postmenopausal women, higher levels with longer oral contraceptive use and later-age-at and shorter-interval-since last birth. Lower anti-CA15.3 antibodies were associated with higher body mass and, in premenopausal women, more ovulatory cycles. Higher anti-CA15.3 and anti-CA125 antibodies were associated with higher risk for mucinous EOC occurring ≥ 3 years from enrollment. Long-term risk for serous EOC was reduced in women with low CA125 and high anti-CA125 antibodies relative to women with low concentrations of both. Conclusions: We found general support for the hypothesis that anti-mucin antibody levels correlate with risk factors for EOC. Antibodies alone or in combinations with their antigen may predict longer term risk of specific EOC types. Impact: Anti-CA125 and anti-CA15.3 antibodies alone or in perspective of antigens may be informative in the pathogenesis of EOC subtypes, but less useful for informing risk for all EOC.
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6.
  • Fortner, Renée T, et al. (författare)
  • Endometrial cancer risk prediction including serum-based biomarkers : results from the EPIC cohort
  • 2017
  • Ingår i: International Journal of Cancer. - : John Wiley and Sons. - 0020-7136 .- 1097-0215. ; 140:6, s. 1317-1323
  • Tidskriftsartikel (refereegranskat)abstract
    • Endometrial cancer risk prediction models including lifestyle, anthropometric and reproductive factors have limited discrimination. Adding biomarker data to these models may improve predictive capacity; to our knowledge, this has not been investigated for endometrial cancer. Using a nested case–control study within the European Prospective Investigation into Cancer and Nutrition (EPIC) cohort, we investigated the improvement in discrimination gained by adding serum biomarker concentrations to risk estimates derived from an existing risk prediction model based on epidemiologic factors. Serum concentrations of sex steroid hormones, metabolic markers, growth factors, adipokines and cytokines were evaluated in a step-wise backward selection process; biomarkers were retained at p < 0.157 indicating improvement in the Akaike information criterion (AIC). Improvement in discrimination was assessed using the C-statistic for all biomarkers alone, and change in C-statistic from addition of biomarkers to preexisting absolute risk estimates. We used internal validation with bootstrapping (1000-fold) to adjust for over-fitting. Adiponectin, estrone, interleukin-1 receptor antagonist, tumor necrosis factor-alpha and triglycerides were selected into the model. After accounting for over-fitting, discrimination was improved by 2.0 percentage points when all evaluated biomarkers were included and 1.7 percentage points in the model including the selected biomarkers. Models including etiologic markers on independent pathways and genetic markers may further improve discrimination.
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7.
  • Freisling, Heinz, et al. (författare)
  • Main nutrient patterns are associated with prospective weight change in adults from 10 European countries
  • 2016
  • Ingår i: European Journal of Nutrition. - : Springer. - 1436-6207 .- 1436-6215. ; 55:6, s. 2093-2104
  • Tidskriftsartikel (refereegranskat)abstract
    • Purpose: Various food patterns have been associated with weight change in adults, but it is unknown which combinations of nutrients may account for such observations. We investigated associations between main nutrient patterns and prospective weight change in adults. Methods: This study includes 235,880 participants, 25–70 years old, recruited between 1992 and 2000 in 10 European countries. Intakes of 23 nutrients were estimated from country-specific validated dietary questionnaires using the harmonized EPIC Nutrient DataBase. Four nutrient patterns, explaining 67 % of the total variance of nutrient intakes, were previously identified from principal component analysis. Body weight was measured at recruitment and self-reported 5 years later. The relationship between nutrient patterns and annual weight change was examined separately for men and women using linear mixed models with random effect according to center controlling for confounders. Results: Mean weight gain was 460 g/year (SD 950) and 420 g/year (SD 940) for men and women, respectively. The annual differences in weight gain per one SD increase in the pattern scores were as follows: principal component (PC) 1, characterized by nutrients from plant food sources, was inversely associated with weight gain in men (−22 g/year; 95 % CI −33 to −10) and women (−18 g/year; 95 % CI −26 to −11). In contrast, PC4, characterized by protein, vitamin B2, phosphorus, and calcium, was associated with a weight gain of +41 g/year (95 % CI +2 to +80) and +88 g/year (95 % CI +36 to +140) in men and women, respectively. Associations with PC2, a pattern driven by many micro-nutrients, and with PC3, a pattern driven by vitamin D, were less consistent and/or non-significant. Conclusions: We identified two main nutrient patterns that are associated with moderate but significant long-term differences in weight gain in adults.
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8.
  • Freisling, Heinz, et al. (författare)
  • Nut intake and 5-year changes in body weight and obesity risk in adults: results from the EPIC-PANACEA study
  • 2018
  • Ingår i: European Journal of Nutrition. - : Springer. - 1436-6207 .- 1436-6215. ; 57:7, s. 2399-2408
  • Tidskriftsartikel (refereegranskat)abstract
    • © 2017 Springer-Verlag GmbH Germany Purpose: There is inconsistent evidence regarding the relationship between higher intake of nuts, being an energy-dense food, and weight gain. We investigated the relationship between nut intake and changes in weight over 5 years. Methods: This study includes 373,293 men and women, 25–70 years old, recruited between 1992 and 2000 from 10 European countries in the European Prospective Investigation into Cancer and Nutrition (EPIC) study. Habitual intake of nuts including peanuts, together defined as nut intake, was estimated from country-specific validated dietary questionnaires. Body weight was measured at recruitment and self-reported 5 years later. The association between nut intake and body weight change was estimated using multilevel mixed linear regression models with center/country as random effect and nut intake and relevant confounders as fixed effects. The relative risk (RR) of becoming overweight or obese after 5 years was investigated using multivariate Poisson regressions stratified according to baseline body mass index (BMI). Results: On average, study participants gained 2.1 kg (SD 5.0 kg) over 5 years. Compared to non-consumers, subjects in the highest quartile of nut intake had less weight gain over 5 years (−0.07 kg; 95% CI −0.12 to −0.02) (P trend = 0.025) and had 5% lower risk of becoming overweight (RR 0.95; 95% CI 0.92–0.98) or obese (RR 0.95; 95% CI 0.90–0.99) (both P trend < 0.008). Conclusions: Higher intake of nuts is associated with reduced weight gain and a lower risk of becoming overweight or obese.
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9.
  • Huseinovic, Ena, et al. (författare)
  • Timing of eating across ten European countries - Results from the European Prospective Investigation into Cancer and Nutrition (EPIC) calibration study
  • 2019
  • Ingår i: Public Health Nutrition. - : Cambridge University Press. - 1368-9800 .- 1475-2727. ; 22:2, s. 324-335
  • Tidskriftsartikel (refereegranskat)abstract
    • ObjectiveTo examine timing of eating across ten European countries.DesignCross-sectional analysis of the European Prospective Investigation into Cancer and Nutrition (EPIC) calibration study using standardized 24 h diet recalls collected during 1995-2000. Eleven predefined food consumption occasions were assessed during the recall interview. We present time of consumption of meals and snacks as well as the later:earlier energy intake ratio, with earlier and later intakes defined as 06.00-14.00 and 15.00-24.00 hours, respectively. Type III tests were used to examine associations of sociodemographic, lifestyle and health variables with timing of energy intake.SettingTen Western European countries.SubjectsIn total, 22 985 women and 13 035 men aged 35-74 years (n 36 020).ResultsA south-north gradient was observed for timing of eating, with later consumption of meals and snacks in Mediterranean countries compared with Central and Northern European countries. However, the energy load was reversed, with the later:earlier energy intake ratio ranging from 0·68 (France) to 1·39 (Norway) among women, and from 0·71 (Greece) to 1·35 (the Netherlands) among men. Among women, country, age, education, marital status, smoking, day of recall and season were all independently associated with timing of energy intake (all P<0·05). Among men, the corresponding variables were country, age, education, smoking, physical activity, BMI and day of recall (all P<0·05).ConclusionsWe found pronounced differences in timing of eating across Europe, with later meal timetables but greater energy load earlier during the day in Mediterranean countries compared with Central and Northern European countries.
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10.
  • Li, Kuanrong, et al. (författare)
  • Risk prediction for estrogen receptor-specific breast cancers in two large prospective cohorts
  • 2018
  • Ingår i: Breast Cancer Research. - : BioMed Central. - 1465-5411 .- 1465-542X. ; 20
  • Tidskriftsartikel (refereegranskat)abstract
    • BACKGROUND: Few published breast cancer (BC) risk prediction models consider the heterogeneity of predictor variables between estrogen-receptor positive (ER+) and negative (ER-) tumors. Using data from two large cohorts, we examined whether modeling this heterogeneity could improve prediction.METHODS: We built two models, for ER+ (ModelER+) and ER- tumors (ModelER-), respectively, in 281,330 women (51% postmenopausal at recruitment) from the European Prospective Investigation into Cancer and Nutrition cohort. Discrimination (C-statistic) and calibration (the agreement between predicted and observed tumor risks) were assessed both internally and externally in 82,319 postmenopausal women from the Women's Health Initiative study. We performed decision curve analysis to compare ModelER+ and the Gail model (ModelGail) regarding their applicability in risk assessment for chemoprevention.RESULTS: Parity, number of full-term pregnancies, age at first full-term pregnancy and body height were only associated with ER+ tumors. Menopausal status, age at menarche and at menopause, hormone replacement therapy, postmenopausal body mass index, and alcohol intake were homogeneously associated with ER+ and ER- tumors. Internal validation yielded a C-statistic of 0.64 for ModelER+ and 0.59 for ModelER-. External validation reduced the C-statistic of ModelER+ (0.59) and ModelGail (0.57). In external evaluation of calibration, ModelER+ outperformed the ModelGail: the former led to a 9% overestimation of the risk of ER+ tumors, while the latter yielded a 22% underestimation of the overall BC risk. Compared with the treat-all strategy, ModelER+ produced equal or higher net benefits irrespective of the benefit-to-harm ratio of chemoprevention, while ModelGail did not produce higher net benefits unless the benefit-to-harm ratio was below 50. The clinical applicability, i.e. the area defined by the net benefit curve and the treat-all and treat-none strategies, was 12.7 × 10- 6 for ModelER+ and 3.0 × 10- 6 for ModelGail.CONCLUSIONS: Modeling heterogeneous epidemiological risk factors might yield little improvement in BC risk prediction. Nevertheless, a model specifically predictive of ER+ tumor risk could be more applicable than an omnibus model in risk assessment for chemoprevention.
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  • Resultat 1-10 av 55
  • [1]23456Nästa

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