| 1. |
- Ek, Weronica E., et al.
(författare)
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Tea and coffee consumption in relation to DNA methylation in four European cohorts
- 2017
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Ingår i: Human Molecular Genetics. - : Oxford University Press. - 0964-6906 .- 1460-2083. ; 26:16, s. 3221-3231
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Tidskriftsartikel (refereegranskat)abstract
- Lifestyle factors, such as food choices and exposure to chemicals, can alter DNA methylation and lead to changes in gene activity. Two such exposures with pharmacologically active components are coffee and tea consumption. Both coffee and tea has been suggested to play an important role in modulating disease-risk in humans by suppressing tumour progression, decreasing inflammation and influencing estrogen metabolism. These mechanisms may be mediated by changes in DNA methylation.To investigate if DNA methylation in blood is associated with coffee and tea consumption we performed a genome-wide DNA methylation study for coffee and tea consumption in four European cohorts (N = 3,096). DNA methylation was measured from whole blood at 421,695 CpG sites distributed throughout the genome and analysed in men and women both separately and together in each cohort. Meta-analyses of the results and additional regional-level analyses were performed.After adjusting for multiple testing, the meta-analysis revealed that two individual CpG-sites, mapping to DNAJC16 and TTC17, were differentially methylated in relation to tea consumption in women. No individual sites were associated in men or in the sex-combined analysis for tea or coffee. The regional analysis revealed that 28 regions were differentially methylated in relation to tea consumption in women. These regions contained genes known to interact with estradiol metabolism and cancer. No significant regions were found in the sex-combined and male-only analysis for either tea or coffee consumption.
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| 2. |
- Lampa, Erik G., et al.
(författare)
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Optimizing occupational exposure measurement strategies when estimating the log-scale arithmetic mean value : An example from the reinforced plastics industry
- 2006
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Ingår i: Annals of Occupational Hygiene. - Oxford : Pergamon Press. - 0003-4878 .- 1475-3162. ; 50:4, s. 371-377
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Tidskriftsartikel (refereegranskat)abstract
- When assessing occupational exposures, repeated measurements are in most cases required. Repeated measurements are more resource intensive than a single measurement, so careful planning of the measurement strategy is necessary to assure that resources are spent wisely. The optimal strategy depends on the objectives of the measurements. Here, two different models of random effects analysis of variance (ANOVA) are proposed for the optimization of measurement strategies by the minimization of the variance of the estimated log-transformed arithmetic mean value of a worker group, i.e. the strategies are optimized for precise estimation of that value. The first model is a one-way random effects ANOVA model. For that model it is shown that the best precision in the estimated mean value is always obtained by including as many workers as possible in the sample while restricting the number of replicates to two or at most three regardless of the size of the variance components. The second model introduces the ‘shared temporal variation’ which accounts for those random temporal fluctuations of the exposure that the workers have in common. It is shown for that model that the optimal sample allocation depends on the relative sizes of the between-worker component and the shared temporal component, so that if the between-worker component is larger than the shared temporal component more workers should be included in the sample and vice versa. The results are illustrated graphically with an example from the reinforced plastics industry. If there exists a shared temporal variation at a workplace, that variability needs to be accounted for in the sampling design and the more complex model is recommended.
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| 3. |
- Lundin, C., et al.
(författare)
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There is no association between combined oral hormonal contraceptives and depression : a Swedish register-based cohort study
- 2022
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Ingår i: British Journal of Obstetrics and Gynecology. - : John Wiley & Sons. - 1470-0328 .- 1471-0528. ; 129:6, s. 917-925
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Tidskriftsartikel (refereegranskat)abstract
- Objective: To investigate whether users of hormonal contraceptives (HCs) are at increased risk of depression compared with non-users. Design: Register-based cohort study.Setting: Sweden.Sample: Women aged 15–25 years between 2010 and 2017 with no prior antidepressant treatment, psychiatric diagnose or contraindication for HCs (n = 739 585).Methods: Women with a prescription of HC were identified via the Swedish Prescribed Drug Register (SPDR). Relative risks (RRs) for first depression diagnosis in current HC-users compared with non-users were modelled by Poisson regression. Adjustments included age, medical indication for HC-use and parental history of mental disorders, among others.Main outcome measures: Depression, captured by a redeemed prescription of antidepressant treatment, or a first depression diagnosis in the SPDR and the National Patient Register.Results: Compared with non-users, women on combined oral contraceptives (COCs) and oral progestogen-only products had lower or no increased risk of depression, relative risk (RR) 0.89 (95% CI 0.87–0.91) and 1.03 (95% CI 0.99–1.06) after adjustments, respectively. Age-stratified analyses demonstrated that COC use in adolescents conferred no increase in risk (RR 0.96, 95% CI 0.93–0.98), whereas use of progestogen-only pills (RR 1.13, 95% CI 1.07–1.19), contraceptive patch/vaginal ring (RR 1.43, 95% CI 1.30–1.58), implant (RR 1.38, 95% CI 1.30–1.45) or a levonorgestrel intrauterine device (RR 1.59, 95% CI 1.46–1.73) were associated with increased risks.Conclusions: This study did not find any association between use of COCs, which is the dominating HC in first time users, and depression. Non-oral products were associated with increased risks. Residual confounding must be addressed in the interpretation of the results. Tweetable abstract: There is no association between combined hormonal contraceptives and depression.
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