| 1. |
- Lu, Yunxia, et al.
(author)
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Metabolic predispositions and increased risk of colorectal adenocarcinoma by anatomical locations : a large population-based cohort study in Norway
- 2015
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In: American Journal of Epidemiology. - Stockholm : Karolinska Institutet, Dept of Molecular Medicine and Surgery. - 0002-9262 .- 1476-6256.
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Journal article (peer-reviewed)abstract
- Whether different definitions of metabolic syndrome (MetS) are differently associated with colorectal adenocarcinoma (CA) by anatomical location is unclear. A population-based cohort study, the Cohort of Norway (CONOR) Study, was conducted in Norway from 1995 to 2010. Anthropometric measurements, blood samples, and lifestyle data were collected at recruitment. CAs were identified through linkage to the Norwegian Cancer Register. A composite index of MetS as defined by the International Diabetes Federation (IDF) or/and the National Cholesterol Education Program's Adult Treatment Panel III (ATP III) and single components of MetS, including anthropometric factors, blood pressure, lipids, triglycerides, and glucose, were analyzed. Cox proportional hazards regression was performed to estimate hazard ratios and 95% confidence intervals. Significant associations between single MetS components and CA, except for reduced high-density lipoprotein cholesterol and nonfasting glucose levels, were observed. MetS defined by 2 criteria separately showed a similar association with CA in general, and MetS defined by both the IDF and ATP III showed consistent results. Stronger associations were observed in the proximal colon among men (IDF: hazard ratio (HR) = 1.51, 95% confidence interval (CI): 1.24, 1.84; ATP III: HR = 1.40, 95% CI: 1.15, 1.70) and in the rectum among women (IDF: HR = 1.42, 95% CI: 1.07, 1.89; ATP III: HR = 1.43, 95% CI: 1.08, 1.90).
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| 2. |
- Bellavia, Andrea, et al.
(author)
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Using Laplace Regression to Model and Predict Percentiles of Age at Death When Age Is the Primary Time Scale
- 2015
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In: American Journal of Epidemiology. - : OXFORD UNIV PRESS INC. - 0002-9262 .- 1476-6256. ; 182:3, s. 271-277
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Journal article (peer-reviewed)abstract
- Increasingly often in epidemiologic research, associations between survival time and predictors of interest are measured by differences between distribution functions rather than hazard functions. For example, differences in percentiles of survival time, expressed in absolute time units (e.g., weeks), may complement the popular risk ratios, which are unitless measures. When analyzing time to an event of interest (e.g., death) in prospective cohort studies, the time scale can be set to start at birth or at study entry. The advantages of one time origin over the other have been thoroughly explored for the estimation of risks but not for the estimation of survival percentiles. In this paper, we analyze the use of different time scales in the estimation of survival percentiles with Laplace regression. Using this regression method, investigators can estimate percentiles of survival time over levels of an exposure of interest while adjusting for potential confounders. Our findings may help to improve modeling strategies and ease interpretation in the estimation of survival percentiles in prospective cohort studies.
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| 4. |
- Hollander, Peter, et al.
(author)
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Autoimmune and Atopic Disorders and Risk of Classical Hodgkin Lymphoma
- 2015
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In: American Journal of Epidemiology. - : Oxford University Press (OUP). - 0002-9262 .- 1476-6256. ; 182:7, s. 624-632
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Journal article (peer-reviewed)abstract
- Results from previous investigations have shown associations between the risk of Hodgkin lymphoma (HL) and a history of autoimmune and atopic diseases, but it remains unknown whether these associations apply to all types of HL or only to specific subtypes. We investigated immune diseases and the risk of classical HL in a population-based case-control study that included 585 patients and 3,187 controls recruited from October 1999 through August 2002. We collected information on immune diseases through telephone interviews and performed serological analyses of specific immunoglobulin E reactivity. Tumor Epstein-Barr virus (EBV) status was determined for 498 patients. Odds ratios with 95% confidence intervals were calculated using logistic regression analysis. Rheumatoid arthritis was associated with a higher risk of HL (odds ratio (OR) = 2.63; 95% confidence interval (CI): 1.47, 4.70), especially EBV-positive HL (OR = 3.18; 95% CI: 1.23, 8.17), and with mixed-cellularity HL (OR = 4.25; 95% CI: 1.66, 10.90). HL risk was higher when we used proxies of severe rheumatoid arthritis, such as ever having received daily rheumatoid arthritis medication (OR = 3.98; 95% CI: 2.08, 7.62), rheumatoid arthritis duration of 6-20 years (OR = 3.80; 95% CI: 1.72, 8.41), or ever having been hospitalized for rheumatoid arthritis (OR = 7.36; 95% CI: 2.95, 18.38). Atopic diseases were not associated with the risk of HL. EBV replication induced by chronic inflammation in patients with autoimmune diseases might explain the higher risk of EBV-positive HL.
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| 7. |
- Larsson, Susanna C., et al.
(author)
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Urinary cadmium concentration and risk of breast cancer : a systematic review and dose-response meta-analysis
- 2015
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In: American Journal of Epidemiology. - : Oxford University Press (OUP). - 0002-9262 .- 1476-6256. ; 182:5, s. 375-380
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Journal article (peer-reviewed)abstract
- Cadmium is a toxic and persistent heavy metal with estrogenic activities. We conducted a systematic review and meta-analysis of cohort, case-control, and cross-sectional studies of the association between urinary cadmium concentration, a biomarker of cadmium exposure, and breast cancer risk. Studies were identified by searching PubMed and Embase (to March 15, 2015) and by reviewing the reference lists of pertinent articles. Study-specific risk estimates were combined by using a random-effects model. We identified 2 cohort studies (with 67 breast cancer deaths) and 5 case-control studies and 1 cross-sectional study (with 1,416 cases and 5,083 controls) on urinary cadmium concentration in relation to breast cancer risk. The studies were published during the past 10 years (2006-2015). There was no consistent association between urinary cadmium and breast cancer mortality in the cohort studies. In case-control and cross-sectional studies, the pooled odds ratios were 2.24 (95% confidence interval: 1.50, 3.34; I(2) = 63.4%) for the highest versus lowest category of cadmium concentration and 1.66 (95% confidence interval: 1.23, 2.25) for each 0.5-µg/g creatinine increase of cadmium concentration. This meta-analysis suggests that a high cadmium exposure may be a risk factor for breast cancer, but large prospective studies are needed to confirm this finding.
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