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Featured researches published by Astrid Steinbrecher.


Cancer Epidemiology, Biomarkers & Prevention | 2010

Effects of selenium status and polymorphisms in selenoprotein genes on prostate cancer risk in a prospective study of European men

Astrid Steinbrecher; Catherine Méplan; John E. Hesketh; Lutz Schomburg; Tobias Endermann; Eugene Jansen; Björn Åkesson; Sabine Rohrmann; Jakob Linseisen

Background: Evidence for an association between selenium status and prostate cancer risk is still inconclusive. Anticarcinogenic effects of selenium are supposedly mediated through cellular protective and redox properties of selenoenzymes in vivo. We evaluated the association between serum selenium status and prostate cancer risk in a population with relative low selenium concentrations considering effect modification by genetic variants in selenoprotein genes. Materials and Methods: A case-control study of 248 incident prostate cancer cases and 492 matched controls was nested within the EPIC-Heidelberg cohort. Baseline blood samples were analyzed for serum selenium and selenoprotein P concentrations and glutathione peroxidase activity. Genotyping was carried out for SEP15 (rs5859, rs540049), SEPP1 (rs3877899, rs7579), GPX1 (rs1050450), and GPX4 (rs713041). Conditional logistic regression was used to calculate adjusted odds ratios (OR) and 95% confidence intervals (95% CI). Results: The OR for prostate cancer was 0.89 (95% CI, 0.79-1.01) per 10 μg/L increase of serum selenium concentration. This association was modified by rs1050450 (C>T) in GPX1 (Pinteraction = 0.03), with carriers of one or two T alleles having a significantly reduced OR of 0.87 (95% CI, 0.76-0.99). Furthermore, there was an association between rs7579 genotype in SEPP1 and prostate cancer risk (OR, 1.72; 95% CI, 0.99-2.98). Conclusions: Our results support a role of selenium and polymorphisms in selenoenzymes in prostate cancer etiology, which warrants confirmation in future studies. Impact: These findings might help to explain biological effects of selenium in prostate cancer development in order to overcome inconsistencies arising from former studies. Cancer Epidemiol Biomarkers Prev; 19(11); 2958–68. ©2010 AACR.


Cancer Epidemiology, Biomarkers & Prevention | 2010

Dietary glucosinolate intake, polymorphisms in selected biotransformation enzymes, and risk of prostate cancer.

Astrid Steinbrecher; Sabine Rohrmann; Maria Timofeeva; Angela Risch; Eugene Jansen; Jakob Linseisen

A protective role of glucosinolates in prostate cancer development might be mediated by the induction of biotransformation enzymes. These enzymes, enhancing the elimination of carcinogens from the body, are known to be polymorphic. Therefore, we evaluated whether a possible association between glucosinolate intake and prostate cancer risk is modified by polymorphisms in GSTT1, GSTM1, GSTA1, GSTP1, or NOQ1 genes. A case-control study including 248 prostate cancer cases and 492 matched controls was nested in the prospective European Prospective Investigation into Cancer and Nutrition-Heidelberg cohort. At baseline, participants provided dietary and lifestyle data and blood samples, which were used for genotyping and measurement of serum glutathione S-transferase-α concentration. Odds ratios and 95% confidence intervals were calculated by conditional logistic regression. We found an inverse association of glucosinolate intake with prostate cancer risk (adjusted odds ratio, 0.72 per 10 mg/d increment; 95% confidence interval, 0.53-0.96). Stratification by genotype showed significantly reduced risks for subjects with wild-type of NQO1 (C609T) compared with CT or TT carriers (Pinteraction = 0.04). Those with deletions in both GSTM1 and GSTT1 genes combined had a significantly reduced risk with increasing glucosinolate intake (Pinteraction = 0.01). There was no effect modification of glucosinolate intake and cancer risk by GSTA1 (G-52A) or GSTP1 (A313G) genotype, but serum glutathione S-transferase-α concentrations were inversely associated with prostate cancer. This study showed that the inverse association between glucosinolate intake and prostate cancer risk was modified by NQO1 (C609T) and GSTM1 and GSTT1 deletion polymorphisms. This information will help to further elucidate the mechanism of action of potentially protective substances in vivo. Cancer Epidemiol Biomarkers Prev; 19(1); 135–43


European Journal of Clinical Nutrition | 2011

Soy consumption is not protective against diabetes in Hawaii: the Multiethnic Cohort

Yukiko Morimoto; Astrid Steinbrecher; Laurence N. Kolonel; Gertraud Maskarinec

Based on the hypothesis that soy consumption may improve glucose tolerance, we examined the association of soy intake with diabetes risk in the Hawaii component of the Multiethnic Cohort. Among 29 719 Caucasian, 35 141 Japanese American and 10 484 Native Hawaiian men and women, 8564 incident diabetes cases were identified during 14 years of follow-up. Cox regression was used to calculate hazard ratios while adjusting for known confounders with stratifications by sex, ethnicity and weight status. We observed no protective effect of soy food consumption on diabetes risk in this population, which has a wide range of soy intakes though lower than in Asian populations. Indeed, higher soy food intake was associated with a weakly elevated diabetes risk across ethnic groups; the higher risk was limited to overweight and obese individuals. The current findings do not support a protective effect of modest levels of soy food consumption against diabetes.


PLOS ONE | 2017

A life course examination of the physical environmental determinants of physical activity behaviour: A “Determinants of Diet and Physical Activity” (DEDIPAC) umbrella systematic literature review

Angela Carlin; Camille Perchoux; Anna Puggina; Katina Aleksovska; Christoph Buck; Con Burns; Greet Cardon; Simon Chantal; Donatella Ciarapica; Giancarlo Condello; Tara Coppinger; Cristina Cortis; Sara D’Haese; Marieke De Craemer; Andrea Di Blasio; Sylvia Hansen; Licia Iacoviello; Johann Issartel; Pascal Izzicupo; Lina Jaeschke; Martina Kanning; Aileen Kennedy; Jeroen Lakerveld; Fiona Chun Man Ling; Agnes Luzak; Giorgio Napolitano; Julie-Anne Nazare; Tobias Pischon; Angela Polito; Alessandra Sannella

Background Participation in regular physical activity is associated with a multitude of health benefits across the life course. However, many people fail to meet PA recommendations. Despite a plethora of studies, the evidence regarding the environmental (physical) determinants of physical activity remains inconclusive. Objective To identify the physical environmental determinants that influence PA across the life course. Methods An online systematic literature search was conducted using MEDLINE, ISI Web of Science, Scopus and SPORTDiscus. The search was limited to studies published in English (January 2004 to April 2016). Only systematic literature reviews (SLRs) and meta-analyses (MAs) of observational studies, that investigated the association between physical determinants and physical activity outcomes, were eligible for inclusion. The extracted data were assessed on the importance of determinants, strength of evidence and methodological quality. Results The literature search identified 28 SLRs and 3 MAs on 67 physical environmental characteristics potentially related to physical activity that were eligible for inclusion. Among preschool children, a positive association was reported between availability of backyard space and outdoor toys/equipment in the home and overall physical activity. The availability of physical activity programs and equipment within schools, and neighbourhood features such as pedestrian and cyclist safety structure were positively associated with physical activity in children and adolescents. Negative street characteristics, for example, lack of sidewalks and streetlights, were negatively associated with physical activity in adults. Inconsistent associations were reported for the majority of reviewed determinants in adults. Conclusion This umbrella SLR provided a comprehensive overview of the physical environment determinants of physical activity across the life course and has highlighted, particularly amongst youth, a number of key determinants that may be associated with overall physical activity. Given the limited evidence drawn mostly from cross-sectional studies, longitudinal studies are needed to further explore these associations. Registration PROSPERO CRD42015010616


Public Health Nutrition | 2014

Coffee intake and risk of type 2 diabetes: the Multiethnic Cohort.

Taisha Doo; Yukiko Morimoto; Astrid Steinbrecher; Laurence N. Kolonel; Gertraud Maskarinec

OBJECTIVE We evaluated the influence of coffee consumption on diabetes incidence among the Hawaii component of the Multiethnic Cohort (MEC). DESIGN Prospective cohort. SETTING Population-based sample residing in Hawaii. SUBJECTS After exclusions, 75 140 men and women of Caucasian, Japanese American and Native Hawaiian ancestry aged 45-75 years were part of the current analysis. All participants provided information on diet and lifestyle through an FFQ. After 14 years of follow-up 8582 incident diabetes cases were identified using self-reports, medication questionnaires and health plan linkages. Hazard ratios (HR) and 95 % confidence intervals were calculated using Cox regression while adjusting for known covariates. RESULTS The risk for diabetes associated with total coffee consumption differed by sex (P interaction < 0·0001). Women consuming ≥3 cups of any type of coffee daily had a significantly lower risk (HR = 0·66; 95 % CI 0·58, 0·77; P trend < 0·0001) than those reporting <1 cup/d, whereas the relationship in men was borderline (HR = 0·89; 95 % CI 0·80, 0·99; P trend = 0·09). The same difference by sex was seen for regular coffee consumption, with HR of 0·65 (95 % CI 0·54, 0·78; P trend < 0·0001) and 0·86 (95 % CI 0·75, 0·98; P trend = 0·09) in men and women, respectively. No significant association with diabetes was apparent for decaffeinated coffee in women (HR = 0·85; 95 % CI 0·72, 1·01; P trend = 0·73) or men (HR = 1·07; 95 % CI 0·93, 1·23; P trend = 0·71). Despite small differences by ethnicity, the interaction terms between coffee intake and ethnicity were not significant. CONCLUSIONS In this multiethnic population, regular, but not decaffeinated, coffee intake was much more protective against diabetes in women of all ethnic groups than in men.


Cancer Epidemiology, Biomarkers & Prevention | 2012

Examining the Association Between Socioeconomic Status and Invasive Colorectal Cancer Incidence and Mortality in California

Astrid Steinbrecher; Kari Fish; Christina A. Clarke; Dee W. West; Scarlett Lin Gomez; Iona Cheng

Background: Colorectal cancer (CRC) incidence and mortality rates vary across race/ethnicity. Socioeconomic status (SES) also influences CRC rates; however, these associations might be inconsistent across racial/ethnic groups and tumor subsite. We examined associations between area-level SES and CRC incidence and mortality in a population-based registry study of non-Hispanic Whites, African Americans, Hispanics, and Asians/Pacific Islanders from California. Methods: Data on 52,608 incident CRC cases (1998–2002) and 14,515 CRC deaths (1999–2001) aged ≥50 years were obtained from the California Cancer Registry. Based on 2000 U.S. Census data, each cancer case and death was assigned a multidimensional census tract-level SES index. SES-specific quintiles of CRC incidence and mortality rates, incidence rate ratios (IRR) and mortality rate ratios, and 95% confidence intervals (CI) were estimated. Analyses were stratified by anatomical site, including left- versus right-sided tumors, race/ethnicity, and stage of disease. Results: Overall CRC incidence and SES did not show a clear association, yet patterns of associations varied across tumor subsite and race/ethnicity. Positive associations between SES and CRC incidence were found in Hispanics [SES Q5 v. Q1: IRR = 1.54, CI = 1.39–1.69], irrespective of the subsite. For Whites [SES Q5 v. Q1: IRR = 0.80, CI = 0.77–0.83], and African Americans [SES Q5 v. Q1: IRR = 0.83, CI = 0.70–0.97] inverse associations were observed, predominantly for left-sided tumors. Mortality rates declined with increasing SES in Whites, whereas in Hispanics mortality rates significantly increased with SES. Conclusions: Our findings show that SES differences in CRC incidence and mortality vary considerably across anatomical subsite and race/ethnicity. Impact: Studies combining area- and individual-level SES information are warranted. Cancer Epidemiol Biomarkers Prev; 21(10); 1814–22. ©2012 AACR.


European Journal of Clinical Nutrition | 2014

Development and evaluation of a short 24-h food list as part of a blended dietary assessment strategy in large-scale cohort studies

J. Freese; Silke Feller; Ulrich Harttig; Christina Kleiser; J. Linseisen; B. Fischer; Michael F. Leitzmann; J. Six-Merker; Karin B. Michels; Katharina Nimptsch; Astrid Steinbrecher; Tobias Pischon; Thorsten Heuer; Ingrid Hoffmann; Gunnar Jacobs; Heiner Boeing; Ute Nöthlings

Background/Objectives:The validity of dietary assessment in large-scale cohort studies has been questioned. Combining data sources for the estimation of usual intake in a blended approach may enhance the validity of dietary measurement. Our objective was to develop a web-based 24-h food list for Germany to identify foods consumed during the previous 24 h and to evaluate the performance of the new questionnaire in a feasibility study.Subjects/Methods:Available data from the German National Nutrition Survey II were used to develop a finite list of food items. A total of 508 individuals were invited to fill in the 24-h food list via the Internet up to three times during a 3–6-month time period. In addition, participants were asked to evaluate the questionnaire using a brief online evaluation form.Results:In total, 246 food items were identified for the 24-h food list, reflecting >75% variation in intake of 27 nutrients and four major food groups. Among the individuals invited, 64% participated in the feasibility study. Of these, 100%, 85% and 68% of participants completed the 24-h food list one, two or three times, respectively. The average time needed to complete the questionnaire was 9 min, and its acceptability by participants was rated as high.Conclusions:The 24-h food list represents a promising new dietary assessment tool that can be used as part of a blended approach combining multiple data sources for valid estimation of usual dietary intake in large-scale cohort studies.


International Journal of Obesity | 2016

Prediction of activity related energy expenditure using accelerometer derived physical activity under free-living conditions-a systematic review

Stephanie Jeran; Astrid Steinbrecher; Tobias Pischon

Background/Objectives:Activity-related energy expenditure (AEE) might be an important factor in the etiology of chronic diseases. However, measurement of free-living AEE is usually not feasible in large-scale epidemiological studies but instead has traditionally been estimated based on self-reported physical activity. Recently, accelerometry has been proposed for objective assessment of physical activity, but it is unclear to what extent this methods explains the variance in AEE.Subjects/Methods:We conducted a systematic review searching MEDLINE database (until 2014) on studies that estimated AEE based on accelerometry-assessed physical activity in adults under free-living conditions (using doubly labeled water method). Extracted study characteristics were sample size, accelerometer (type (uniaxial, triaxial), metrics (for example, activity counts, steps, acceleration), recording period, body position, wear time), explained variance of AEE (R2) and number of additional predictors. The relation of univariate and multivariate R2 with study characteristics was analyzed using nonparametric tests.Results:Nineteen articles were identified. Examination of various accelerometers or subpopulations in one article was treated separately, resulting in 28 studies. Sample sizes ranged from 10 to 149. In most studies the accelerometer was triaxial, worn at the trunk, during waking hours and reported activity counts as output metric. Recording periods ranged from 5 to 15 days. The variance of AEE explained by accelerometer-assessed physical activity ranged from 4 to 80% (median crude R2=26%). Sample size was inversely related to the explained variance. Inclusion of 1 to 3 other predictors in addition to accelerometer output significantly increased the explained variance to a range of 12.5–86% (median total R2=41%). The increase did not depend on the number of added predictors.Conclusions:We conclude that there is large heterogeneity across studies in the explained variance of AEE when estimated based on accelerometry. Thus, data on predicted AEE based on accelerometry-assessed physical activity need to be interpreted cautiously.


International Journal of Behavioral Nutrition and Physical Activity | 2017

Behavioral determinants of physical activity across the life course: a “DEterminants of DIet and Physical ACtivity” (DEDIPAC) umbrella systematic literature review

Giancarlo Condello; Anna Puggina; Katina Aleksovska; Christoph Buck; Con Burns; Greet Cardon; Angela Carlin; Chantal Simon; Donatella Ciarapica; Tara Coppinger; Cristina Cortis; Sara D’Haese; Marieke De Craemer; Andrea Di Blasio; Sylvia Hansen; Licia Iacoviello; Johann Issartel; Pascal Izzicupo; Lina Jaeschke; Martina Kanning; Aileen Kennedy; Fiona Chun Man Ling; Agnes Luzak; Giorgio Napolitano; Julie-Anne Nazare; Camille Perchoux; Caterina Pesce; Tobias Pischon; Angela Polito; Alessandra Sannella

BackgroundLow levels of physical activity (PA) are a global concern and increasing PA engagement is becoming a priority in current public health policies. Despite the large number of studies and reviews available, the evidence regarding the behavioral determinants of PA is still inconclusive. Thus, the aim of this umbrella systematic literature review (SLR) was to summarize the evidence on the behavioral determinants of PA across the life course.MethodsA systematic online search was conducted on MEDLINE, ISI Web of Science, Scopus, and SPORTDiscus databases. The search was limited to studies published in English from January, 2004 to April, 2016. SLRs and meta-analyses (MAs) of observational studies that investigated the behavioral determinants of PA were considered eligible. The extracted data were assessed based on the importance of the determinants, the strength of evidence, and the methodological quality. The full protocol is available from PROSPERO (PROSPERO 2014:CRD42015010616).ResultsSeventeen reviews on 35 behavioral determinants of PA were eligible for this umbrella SLR. Regardless of age, the most investigated determinants were those related with ‘screen use’ and ‘smoking’. For youth, probable positive evidence emerged for ‘previous PA’ and ‘independent mobility and active transport’ among children and adolescents. For the adult population, ‘transition to university’ and ‘pregnancy/having a child’ showed probable negative associations.ConclusionsAlthough the majority of the evidence was limited and most of the determinants were not associated with PA, this umbrella SLR provided a comprehensive overview of the associations between behavioral determinants and PA. Youth should be physically active in the early years and increase active transportation to/from school, independent mobility, and ‘free-range activities’ without adult supervision, whilst adult PA behaviors are mostly influenced by the life events. Finally, more research is needed that incorporates prospective study designs, standardized definitions of PA, objective measurement methods of PA assessment, and the use of interactionist and mediational approaches for the evaluation of different behavioral determinants influencing PA behaviors.


PLOS ONE | 2015

Measurement of waist and hip circumference with a body surface scanner: feasibility, validity, reliability, and correlations with markers of the metabolic syndrome

Lina Jaeschke; Astrid Steinbrecher; Tobias Pischon

Objective Body surface scanners (BS), which visualize a 3D image of the human body, facilitate the computation of numerous body measures, including height, waist circumference (WC) and hip circumference (HC). However, limited information is available regarding validity and reliability of these automated measurements (AM) and their correlation with parameters of the Metabolic Syndrome (MetS) compared to traditional manual measurements (MM). Methods As part of a cross-sectional feasibility study, AM of WC, HC and height were assessed twice in 60 participants using a 3D BS (VitussmartXXL). Additionally, MM were taken by trained personnel according to WHO guidelines. Participants underwent an interview, bioelectrical impedance analysis, and blood pressure measurement. Blood samples were taken to determine HbA1c, HDL-cholesterol, triglycerides, and uric acid. Validity was assessed based on the agreement between AM and MM, using Bland-Altman-plots, correlation analysis, and paired t-tests. Reliability was assessed using intraclass correlation coefficients (ICC) based on two repeated AM. Further, we calculated age-adjusted Pearson correlation for AM and MM with fat mass, systolic blood pressure, HbA1c, HDL-cholesterol, triglycerides, and uric acid. Results Body measures were higher in AM compared to MM but both measurements were strongly correlated (WC, men, difference = 1.5cm, r = 0.97; women, d = 4.7cm, r = 0.96; HC, men, d = 2.3cm, r = 0.97; women, d = 3.0cm; r = 0.98). Reliability was high for all AM (nearly all ICC>0.98). Correlations of WC, HC, and the waist-to-hip ratio (WHR) with parameters of MetS were similar between AM and MM; for example the correlation of WC assessed by AM with HDL-cholesterol was r = 0.35 in men, and r = -0.48 in women, respectively whereas correlation of WC measured manually with HDL cholesterol was r = -0.41 in men, and r = -0.49 in women, respectively. Conclusions Although AM of WC, HC, and WHR are higher when compared to MM based on WHO guidelines, our data indicate good validity, excellent reliability, and similar correlations to parameters of the MetS.

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Dive into the Astrid Steinbrecher's collaboration.

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Tobias Pischon

Max Delbrück Center for Molecular Medicine

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Lina Jaeschke

Max Delbrück Center for Molecular Medicine

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Andrea Di Blasio

University of Chieti-Pescara

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Anna Puggina

Catholic University of the Sacred Heart

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Giancarlo Condello

Sapienza University of Rome

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Pascal Izzicupo

University of Chieti-Pescara

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