TY - JOUR A1 - Schwingshackl, Lukas A1 - Ruzanska, Ulrike Alexandra A1 - Anton, Verena A1 - Wallroth, Raphael A1 - Ohla, Kathrin A1 - Knueppel, Sven A1 - Schulze, Matthias Bernd A1 - Pischon, Tobias A1 - Deutschbein, Johannes A1 - Schenk, Liane A1 - Warschburger, Petra A1 - Harttig, Ulrich A1 - Boeing, Heiner A1 - Bergmann, Manuela M. T1 - The NutriAct Family Study: a web-based prospective study on the epidemiological, psychological and sociological basis of food choice JF - BMC public health N2 - Background: Most studies on food choice have been focussing on the individual level but familial aspects may also play an important role. This paper reports of a novel study that will focus on the familial aspects of the formation of food choice among men and women aged 50-70 years by recruiting spouses and siblings (NutriAct Family Study; NFS). Discussion: Until August 4th 2017, 4783 EPIC-Participants were contacted by mail of which 446 persons recruited 2 to 5 family members (including themselves) resulting in 1032 participants, of whom 82% had started answering or already completed the questionnaires. Of the 4337 remaining EPIC-participants who had been contacted, 1040 (24%) did not respond at all, and 3297 (76%) responded but declined, in 51% of the cases because of the request to recruit at least 2 family members in the respective age range. The developed recruitment procedures and web-based methods of data collection are capable to generate the required study population including the data on individual and inter-personal determinants which will be linkable to food choice. The information on familial links among the study participants will show the role of familial traits in midlife for the adoption of food choices supporting healthy aging. KW - NutriAct family study KW - Study protocol KW - Food choice KW - Determinants Y1 - 2018 U6 - https://doi.org/10.1186/s12889-018-5814-x SN - 1471-2458 VL - 18 PB - BMC CY - London ER - TY - JOUR A1 - Wittenbecher, Clemens A1 - Ouni, Meriem A1 - Kuxhaus, Olga A1 - Jähnert, Markus A1 - Gottmann, Pascal A1 - Teichmann, Andrea A1 - Meidtner, Karina A1 - Kriebel, Jennifer A1 - Grallert, Harald A1 - Pischon, Tobias A1 - Boeing, Heiner A1 - Schulze, Matthias Bernd A1 - Schürmann, Annette T1 - Insulin-Like Growth Factor Binding Protein 2 (IGFBP-2) and the Risk of Developing Type 2 Diabetes JF - Diabetes : a journal of the American Diabetes Association N2 - Recent studies suggest that insulin-like growth factor binding protein 2 (IGFBP-2) may protect against type 2 diabetes, but population-based human studies are scarce. We aimed to investigate the prospective association of circulating IGFBP-2 concentrations and of differential methylation in the IGFBP-2 gene with type 2 diabetes risk. Y1 - 2019 U6 - https://doi.org/10.2337/db18-0620 SN - 0012-1797 SN - 1939-327X VL - 68 IS - 1 SP - 188 EP - 197 PB - American Diabetes Association CY - Alexandria ER - TY - JOUR A1 - Christakoudi, Sofa A1 - Tsilidis, Konstantinos K. A1 - Muller, David C. A1 - Freisling, Heinz A1 - Weiderpass, Elisabete A1 - Overvad, Kim A1 - Söderberg, Stefan A1 - Häggström, Christel A1 - Pischon, Tobias A1 - Dahm, Christina C. A1 - Zhang, Jie A1 - Tjønneland, Anne A1 - Schulze, Matthias Bernd T1 - A Body Shape Index (ABSI) achieves better mortality risk stratification than alternative indices of abdominal obesity: results from a large European cohort JF - Scientific Reports N2 - Abdominal and general adiposity are independently associated with mortality, but there is no consensus on how best to assess abdominal adiposity. We compared the ability of alternative waist indices to complement body mass index (BMI) when assessing all-cause mortality. We used data from 352,985 participants in the European Prospective Investigation into Cancer and Nutrition (EPIC) and Cox proportional hazards models adjusted for other risk factors. During a mean follow-up of 16.1 years, 38,178 participants died. Combining in one model BMI and a strongly correlated waist index altered the association patterns with mortality, to a predominantly negative association for BMI and a stronger positive association for the waist index, while combining BMI with the uncorrelated A Body Shape Index (ABSI) preserved the association patterns. Sex-specific cohort-wide quartiles of waist indices correlated with BMI could not separate high-risk from low-risk individuals within underweight (BMI<18.5 kg/m(2)) or obese (BMI30 kg/m(2)) categories, while the highest quartile of ABSI separated 18-39% of the individuals within each BMI category, which had 22-55% higher risk of death. In conclusion, only a waist index independent of BMI by design, such as ABSI, complements BMI and enables efficient risk stratification, which could facilitate personalisation of screening, treatment and monitoring. KW - all-cause mortality KW - anthropometric measures KW - mass index KW - overweight KW - cancer KW - prediction KW - adiposity KW - size Y1 - 2020 VL - 10 IS - 1 PB - Springer Nature CY - Berlin ER - TY - GEN A1 - Christakoudi, Sofa A1 - Tsilidis, Konstantinos K. A1 - Muller, David C. A1 - Freisling, Heinz A1 - Weiderpass, Elisabete A1 - Overvad, Kim A1 - Söderberg, Stefan A1 - Häggström, Christel A1 - Pischon, Tobias A1 - Dahm, Christina C. A1 - Zhang, Jie A1 - Tjønneland, Anne A1 - Schulze, Matthias Bernd T1 - A Body Shape Index (ABSI) achieves better mortality risk stratification than alternative indices of abdominal obesity: results from a large European cohort T2 - Postprints der Universität Potsdam : Mathematisch-Naturwissenschaftliche Reihe N2 - Abdominal and general adiposity are independently associated with mortality, but there is no consensus on how best to assess abdominal adiposity. We compared the ability of alternative waist indices to complement body mass index (BMI) when assessing all-cause mortality. We used data from 352,985 participants in the European Prospective Investigation into Cancer and Nutrition (EPIC) and Cox proportional hazards models adjusted for other risk factors. During a mean follow-up of 16.1 years, 38,178 participants died. Combining in one model BMI and a strongly correlated waist index altered the association patterns with mortality, to a predominantly negative association for BMI and a stronger positive association for the waist index, while combining BMI with the uncorrelated A Body Shape Index (ABSI) preserved the association patterns. Sex-specific cohort-wide quartiles of waist indices correlated with BMI could not separate high-risk from low-risk individuals within underweight (BMI<18.5 kg/m(2)) or obese (BMI30 kg/m(2)) categories, while the highest quartile of ABSI separated 18-39% of the individuals within each BMI category, which had 22-55% higher risk of death. In conclusion, only a waist index independent of BMI by design, such as ABSI, complements BMI and enables efficient risk stratification, which could facilitate personalisation of screening, treatment and monitoring. T3 - Zweitveröffentlichungen der Universität Potsdam : Mathematisch-Naturwissenschaftliche Reihe - 1200 KW - all-cause mortality KW - anthropometric measures KW - mass index KW - overweight KW - cancer KW - prediction KW - adiposity KW - size Y1 - 2020 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:517-opus4-525827 SN - 1866-8372 IS - 1 ER -