@article{27795, author = {{Kupriyanova, Yuliya and Zaharia, Oana Patricia and Bobrov, Pavel and Karusheva, Yanislava and Burkart, Volker and Szendroedi, Julia and Hwang, Jong-Hee and Roden, Michael and Roden, M. and Al-Hasani, H. and Burkart, V. and Buyken, Anette and Geerling, G. and Hwang, J.H. and Herder, C. and Icks, A. and Jandeleit-Dahm, K. and Kahl, S. and Kotzka, J. and Kuss, O. and Lammert, E. and Trenkamp, S. and Rathmann, W. and Szendroedi, J. and Ziegler, D.}}, issn = {{0168-8278}}, journal = {{Journal of Hepatology}}, pages = {{1028--1037}}, title = {{{Early changes in hepatic energy metabolism and lipid content in recent-onset type 1 and 2 diabetes mellitus}}}, doi = {{10.1016/j.jhep.2020.11.030}}, year = {{2020}}, } @article{27797, abstract = {{Abstract Objective To provide a systematic overview of world dietary sugar and sugar-sweetened beverage (SSB) intake trends in children and adolescents. Data Sources Medline, Embase, and the Cochrane Central Register of Controlled Trials in the Cochrane Library were searched through January 2019 to identify longitudinal follow-up studies with time-trend data and repeated cross-sectional studies. Data Extraction Data from studies reporting ≥ 2 measurements (sugars, SSB, or sweets/candy) over ≥ 2 years and included ≥ 20 healthy, normal- or overweight children or adolescents aged 1–19 years. Data Analysis Data from 43 articles (n = 4 prospective cohort studies; n = 39 repeated cross-sectional studies) from 15 countries (n = 8 European countries plus Australia, Canada, China, South Korea, Mexico, Russia, and the United States) are presented narratively. According to the risk of bias in nonrandomized studies of interventions tool, 34 studies were judged to have a moderate risk of bias, and 5 to have a serious risk of bias. Conclusions Consumption among US children and adolescents increased substantially in the decades preceding 2000, followed by a faster and continued decline. As a whole, other international intake trends did not reveal drastic increases and decreases in SSB and dietary sugars; they tended to change only slightly across 3 decades. }}, author = {{Della Corte, Karen and Fife, Jessica and Gardner, Alexis and Murphy, Britta L and Kleis, Linda and Della Corte, Dennis and Schwingshackl, Lukas and LeCheminant, James D and Buyken, Anette}}, issn = {{0029-6643}}, journal = {{Nutrition Reviews}}, pages = {{274--288}}, title = {{{World trends in sugar-sweetened beverage and dietary sugar intakes in children and adolescents: a systematic review}}}, doi = {{10.1093/nutrit/nuaa070}}, year = {{2020}}, } @article{27799, abstract = {{Dietary fibre is a generic term describing non-absorbed plant carbohydrates and small amounts of associated non-carbohydrate components. The main contributors of fibre to the diet are the cell walls of plant tissues, which are supramolecular polymer networks containing variable proportions of cellulose, hemicelluloses, pectic substances, and non-carbohydrate components, such as lignin. Other contributors of fibre are the intracellular storage oligosaccharides, such as fructans. A distinction needs to be made between intrinsic sources of dietary fibre and purified forms of fibre, given that the three-dimensional matrix of the plant cell wall confers benefits beyond fibre isolates. Movement through the digestive tract modifies the cell wall structure and may affect the interactions with the colonic microbes (e.g., small intestinally non-absorbed carbohydrates are broken down by bacteria to short-chain fatty acids, absorbed by colonocytes). These aspects, combined with the fibre associated components (e.g., micronutrients, polyphenols, phytosterols, and phytoestrogens), may contribute to the health outcomes seen with the consumption of dietary fibre. Therefore, where possible, processing should minimise the degradation of the plant cell wall structures to preserve some of its benefits. Food labelling should include dietary fibre values and distinguish between intrinsic and added fibre. Labelling may also help achieve the recommended intake of 14 g/1000 kcal/day.}}, author = {{Augustin, Livia S. A. and Aas, Anne-Marie and Astrup, Arnie and Atkinson, Fiona S. and Baer-Sinnott, Sara and Barclay, Alan W. and Brand-Miller, Jennie C. and Brighenti, Furio and Bullo, Monica and Buyken, Anette and Ceriello, Antonio and Ellis, Peter R. and Ha, Marie-Ann and Henry, Jeyakumar C. and Kendall, Cyril W. C. and La Vecchia, Carlo and Liu, Simin and Livesey, Geoffrey and Poli, Andrea and Salas-Salvadó, Jordi and Riccardi, Gabriele and Riserus, Ulf and Rizkalla, Salwa W. and Sievenpiper, John L. and Trichopoulou, Antonia and Usic, Kathy and Wolever, Thomas M. S. and Willett, Walter C. and Jenkins, David J. A.}}, issn = {{2072-6643}}, journal = {{Nutrients}}, title = {{{Dietary Fibre Consensus from the International Carbohydrate Quality Consortium (ICQC)}}}, doi = {{10.3390/nu12092553}}, year = {{2020}}, } @article{27800, abstract = {{ A lower 24-h urine pH (24h-pH), i.e., a higher renal excretion of free protons, at a given acid load to the body, denotes a reduction in the kidney’s capacity for net acid excretion (NAE). There is increasing evidence, not only for patients with type 2 diabetes but also for healthy individuals, that higher body fatness or waist circumference (WC) has a negative impact on renal function to excrete acids (NAE). We hypothesized that adiposity-related inflammation molecules might mediate this relation between adiposity and renal acid excretion function. Twelve biomarkers of inflammation were measured in fasting blood samples from 162 adult participants (18–25 yr old) of the Dortmund Nutritional and Anthropometric Longitudinally Designed (DONALD) study who had undergone anthropometric measurements and collected 24-h urine samples. Both Baron and Kenny’s (B&K’s) steps to test mediation and causal mediation analysis were conducted to examine the potential mediatory roles of biomarkers of inflammation in the WC-24-h pH relationship after strictly controlling for laboratory-measured NAE. In B&K’s mediation analysis, leptin, soluble intercellular adhesion molecule 1 (sICAM-1), and adiponectin significantly associated with the outcome 24-h pH and attenuated the WC-pH relation. In agreement herewith, causal mediation analysis estimated the “natural indirect effects” of WC on 24-h pH via leptin ( P = 0.01) and adiponectin ( P = 0.03) to be significant, with a trend for sICAM-1 ( P = 0.09). The calculated proportions mediated by leptin, adiponectin, and sICAM-1 were 64%, 23%, and 12%, respectively. Both mediation analyses identified an inflammatory cytokine (leptin) and an anti-inflammatory cytokine (adiponectin) along with sICAM-1 as being potentially involved in mediating adiposity-related influences on renal acid excretion capacity. }}, author = {{Hua, Yifan and Herder, Christian and Kalhoff, Hermann and Buyken, Anette and Esche, Jonas and Krupp, Danika and Wudy, Stefan A. and Remer, Thomas}}, issn = {{1931-857X}}, journal = {{American Journal of Physiology-Renal Physiology}}, pages = {{F469--F475}}, title = {{{Inflammatory mediators in the adipo-renal axis: leptin, adiponectin, and soluble ICAM-1}}}, doi = {{10.1152/ajprenal.00257.2020}}, year = {{2020}}, } @article{27801, author = {{Nyasordzi, Juliana and Penczynski, Katharina and Remer, Thomas and Buyken, Anette}}, issn = {{1932-6203}}, journal = {{PLOS ONE}}, title = {{{Early life factors and their relevance to intima-media thickness of the common carotid artery in early adulthood}}}, doi = {{10.1371/journal.pone.0233227}}, year = {{2020}}, } @article{27803, author = {{Schwingshackl, Lukas and Neuenschwander, Manuela and Hoffmann, Georg and Buyken, Anette and Schlesinger, Sabrina}}, issn = {{0002-9165}}, journal = {{The American Journal of Clinical Nutrition}}, pages = {{917--918}}, title = {{{Reply to Khan et al.}}}, doi = {{10.1093/ajcn/nqaa006}}, year = {{2020}}, } @article{27806, abstract = {{AbstractTrend analyses based on dietary records suggest decreases in the intakes of total sugar (TS), added and free sugar since 2005 among children and adolescents in Germany. In terms of age trends, TS intake decreased with increasing age. However, self-reported sugar intake in epidemiological studies is criticised, as it may be prone to bias due to selective underreporting. Furthermore, adolescents are more susceptible to underreporting than children. We thus analysed time and age trends in urinary fructose excretion (FE), sucrose excretion (SE) and the sum of both (FE + SE) as biomarkers for sugar intake among 8·5–16·5-year-old adolescents. Urinary sugar excretion was measured by UPLC-MS/MS in 997 24-h urine samples collected from 239 boys and 253 girls participating in the Dortmund Nutritional and Anthropometric Longitudinally Designed (DONALD) study cohort between 1990 and 2016. Time and age trends of log-transformed FE, SE and FE + SE were analysed using polynomial mixed-effects regression models. Between 1990 and 2016, FE as well as FE + SE decreased (linear time trend: P = 0·0272 and P < 0·0001, respectively). A minor increase in excretion during adolescence was confined to FE (linear age trend: P = 0·0017). The present 24-h excretion measurements support a previously reported dietary record-based decline in sugar intake since 2005. However, the previously seen dietary record-based decrease in TS from childhood to late adolescence was not confirmed by our biomarker analysis, suggesting a constant sugar intake for the period of adolescence.}}, author = {{Perrar, Ines and Gray, Nicola and Kuhnle, Gunter G. and Remer, Thomas and Buyken, Anette and Alexy, Ute}}, issn = {{0007-1145}}, journal = {{British Journal of Nutrition}}, pages = {{164--172}}, title = {{{Sugar intake among German adolescents: trends from 1990 to 2016 based on biomarker excretion in 24-h urine samples}}}, doi = {{10.1017/s0007114520000665}}, year = {{2020}}, } @article{27807, abstract = {{There is no question that elevated postprandial glycemia is a significant driver of common chronic diseases globally [...]}}, author = {{Brand-Miller, Jennie and Buyken, Anette}}, issn = {{2072-6643}}, journal = {{Nutrients}}, title = {{{The Relationship between Glycemic Index and Health}}}, doi = {{10.3390/nu12020536}}, year = {{2020}}, } @article{27826, author = {{Drossel, Kerstin and Kampmeyer, Meike}}, journal = {{Friedrich Jahresheft #schuleDIGITAL}}, pages = {{58--59}}, title = {{{Lehrerkooperation im Zeitalter der Digitalisierung – Potenziale, Herausforderungen und Gelingensbedingungen}}}, volume = {{38}}, year = {{2020}}, } @article{27827, author = {{Drossel, Kerstin and Heldt, Melanie}}, journal = {{Schulmanagement}}, number = {{2}}, pages = {{36--39}}, title = {{{Die Rolle der Schulleitung in Kooperationsprozessen im Zeitalter der Digitalisierung}}}, year = {{2020}}, }