@inproceedings{47018,
  author       = {{Güldenpenning, Iris and Weigelt, Matthias and Kunde, W.}},
  booktitle    = {{Abstracts of the 62nd Conference of Experimental Psychologists (TeaP)}},
  editor       = {{Dobel, C. and Giesen, C. and Grigutsch, L. A.  and Kaufmann, J. M. and Kovács, G. and Meissner, F. and Rothermund, K. and Schweinberger, S. R.}},
  location     = {{Jena}},
  pages        = {{85}},
  publisher    = {{Pabst Science Publishers}},
  title        = {{{Producing deceptive actions in sports: The costs of generating head fakes in basketball}}},
  year         = {{2020}},
}

@article{57684,
  author       = {{Gabriel, Lena}},
  journal      = {{sportunterricht}},
  number       = {{5}},
  pages        = {{173--178}},
  title        = {{{Let´s move. Wir entwickeln ein Hip-Hop Battle}}},
  volume       = {{69}},
  year         = {{2020}},
}

@inproceedings{25417,
  author       = {{Vogt, Sarah and Skjaeret, Maroni and Neuhaus, D and Baumeister, Jochen}},
  number       = {{46-58}},
  title        = {{{Virtual Reality Interventions for Balance Prevention and Rehabilitation after Musculoskeletal Lower Limb Impairments in Young up to Middle-Aged Adults: A Comprehensive Review on Used Technology, Balance Outcome Measures and Observed Effects}}},
  volume       = {{126}},
  year         = {{2019}},
}

@article{26015,
  author       = {{Büchel, Daniel and Jakobsmeyer, Rasmus and Döring, Michael and Adams, Michael and Rückert, Ulrich and Baumeister, Jochen}},
  issn         = {{2474-8668}},
  journal      = {{International Journal of Performance Analysis in Sport}},
  pages        = {{832--844}},
  title        = {{{Effect of playing position and time on-court on activity profiles in german elite team handball}}},
  doi          = {{10.1080/24748668.2019.1663071}},
  year         = {{2019}},
}

@article{27003,
  author       = {{Perrar, Ines and Schmitting, Sarah and Della Corte, Karen W. and Buyken, Anette and Alexy, Ute}},
  issn         = {{1436-6207}},
  journal      = {{European Journal of Nutrition}},
  pages        = {{1043--1054}},
  title        = {{{Age and time trends in sugar intake among children and adolescents: results from the DONALD study}}},
  doi          = {{10.1007/s00394-019-01965-y}},
  year         = {{2019}},
}

@article{27004,
  author       = {{Wong, Tommy H. T. and Buyken, Anette and Brand-Miller, Jennie C. and Louie, Jimmy Chun Yu}},
  issn         = {{1436-6207}},
  journal      = {{European Journal of Nutrition}},
  pages        = {{2357--2367}},
  title        = {{{Is there a soft drink vs. alcohol seesaw? A cross-sectional analysis of dietary data in the Australian Health Survey 2011–12}}},
  doi          = {{10.1007/s00394-019-02084-4}},
  year         = {{2019}},
}

@article{27005,
  abstract     = {{<jats:title>ABSTRACT</jats:title>
               <jats:sec>
                  <jats:title>Background</jats:title>
                  <jats:p>There is controversy on the relevance of dietary sugar intake for cardiometabolic health.</jats:p>
               </jats:sec>
               <jats:sec>
                  <jats:title>Objective</jats:title>
                  <jats:p>The aim of this network meta-analysis (NMA) was to assess how isocaloric substitutions of dietary sugar with other carbohydrates affect cardiometabolic risk factors, comparing different intervention studies.</jats:p>
               </jats:sec>
               <jats:sec>
                  <jats:title>Methods</jats:title>
                  <jats:p>We included randomized controlled trials (RCTs) investigating the isocaloric effect of substituting dietary sugars (fructose, glucose, sucrose) with other sugars or starch on cardiometabolic risk markers, including LDL cholesterol, triacylglycerol (TG), fasting glucose (FG), glycated hemoglobin (HbA1c), insulin resistance (HOMA-IR), uric acid, C-reactive protein (CRP), alanine transaminase (ALT), aspartate transaminase (AST), and liver fat content. To identify the most beneficial intervention for each outcome, random-effects NMA was conducted by calculating pooled mean differences (MDs) with 95% CIs, and by ranking the surface under the cumulative ranking curves (SUCRAs). The certainty of evidence was evaluated using the Confidence In Network Meta-Analysis tool.</jats:p>
               </jats:sec>
               <jats:sec>
                  <jats:title>Results</jats:title>
                  <jats:p>Thirty-eight RCTs, including 1383 participants, were identified. A reduction in LDL-cholesterol concentrations was shown for the exchange of sucrose with starch (MD: −0.23 mmol/L; 95% CI: −0.38, −0.07 mmol/L) or fructose with starch (MD: −0.22 mmol/L; 95% CI: −0.39, −0.05 mmol/L; SUCRAstarch: 98%). FG concentrations were also lower for the exchange of sucrose with starch (MD: −0.14 mmol/L; 95% CI: −0.29, 0.01 mmol/L; SUCRAstarch: 91%). Replacing fructose with an equivalent energy amount of glucose reduced HOMA-IR (MD: −0.36; 95% CI: −0.71, −0.02; SUCRAglucose: 74%) and uric acid (MD: −23.77 µmol/L; 95% CI: −44.21, −3.32 µmol/L; SUCRAglucose: 93%). The certainty of evidence was rated very low to moderate. No significant effects were observed for TG, HbA1c, CRP, ALT, and AST.</jats:p>
               </jats:sec>
               <jats:sec>
                  <jats:title>Conclusions</jats:title>
                  <jats:p>Our findings indicate that substitution of sucrose and fructose with starch yielded lower LDL cholesterol. Insulin resistance and uric acid concentrations were beneficially affected by replacement of fructose with glucose. Our findings are limited by the very low to moderate certainty of evidence. This review was registered at www.crd.york.ac.uk/prospero as CRD42018080297.</jats:p>
               </jats:sec>}},
  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}},
  title        = {{{Dietary sugars and cardiometabolic risk factors: a network meta-analysis on isocaloric substitution interventions}}},
  doi          = {{10.1093/ajcn/nqz273}},
  year         = {{2019}},
}

@article{27006,
  abstract     = {{<jats:p>Trend analyses suggest that free sugar (FS) intake—while still exceeding 10%E—has decreased among German children and adolescents since 2005, yet that intakes may shift from sugars naturally occurring in foods to added sugars as children age. Thus, we analysed time and age trends in FS intake (%E) from food groups among 3–18 year-olds (1985–2016) using 10,761 3-day dietary records from 1312 DONALD participants (660 boys, 652 girls) by use of polynomial mixed-effects regression models. Among girls, FS from sugar &amp; sweets decreased from 1985 to 2016 (linear trend p &lt; 0.0001), but not among boys (p &gt; 0.05). In the total sample, FS intake from juices increased until 2000 and decreased since 2005 (linear, quadratic trend p &lt; 0.0001). FS from sugar sweetened beverages (SSB) decreased non-linearly from 1985 to 2016 (girls: linear, quadratic, cubic trend p &lt; 0.0001; boys: linear, quadratic, cubic trend p &lt; 0.02). Younger children consumed more FS from juices than older ones, who had a higher FS intake from SSB. FS intake from sugar &amp; sweets increased until early adolescence and decreased afterwards. Since sugar &amp; sweets represent the main source of FS intake and the source with the least pronounced decline in intake, public health measures should focus on these products.</jats:p>}},
  author       = {{Perrar, Ines and Schadow, Alena M. and Schmitting, Sarah and Buyken, Anette and Alexy, Ute}},
  issn         = {{2072-6643}},
  journal      = {{Nutrients}},
  title        = {{{Time and Age Trends in Free Sugar Intake from Food Groups among Children and Adolescents between 1985 and 2016}}},
  doi          = {{10.3390/nu12010020}},
  year         = {{2019}},
}

@article{27023,
  abstract     = {{<jats:title>Abstract</jats:title>
               <jats:sec>
                  <jats:title>Background</jats:title>
                  <jats:p>Blood immunoreactive biomarkers, such as C-reactive protein (CRP), and metabolic abnormalities have been associated with schizophrenia. Studies comprehensively and bidirectionally probing possible causal links between such blood constituents and liability to schizophrenia are lacking.</jats:p>
               </jats:sec>
               <jats:sec>
                  <jats:title>Methods</jats:title>
                  <jats:p>To disentangle putative causal links between CRP blood levels and schizophrenia in both directions, we conducted multiple univariable Mendelian-randomization (MR) analyses, ranging from fixed-effect to inverse variance-weighted (IVW), weighted-median, MR Egger and generalized summary-data-based Mendelian-randomization (GSMR) models. To prioritize metabolic risk factors for schizophrenia, a novel multivariable approach was applied: multivariable Mendelian-randomization–Bayesian model averaging (MR-BMA).</jats:p>
               </jats:sec>
               <jats:sec>
                  <jats:title>Results</jats:title>
                  <jats:p>All forward univariable MR analyses consistently showed that CRP has a protective effect on schizophrenia, whereas reverse MR analyses consistently suggested absent causal effects of schizophrenia liability on CRP blood levels. Using MR-BMA, as the top protective factors for schizophrenia we prioritized leucine and as the prime risk-factor triglycerides in medium very-low-density lipoprotein (VLDL). The five best-performing MR-BMA models provided one additional risk factor: triglycerides in large VLDL; and two additional protective factors: citrate and lactate.</jats:p>
               </jats:sec>
               <jats:sec>
                  <jats:title>Conclusions</jats:title>
                  <jats:p>Our results add to a growing body of literature hinting at metabolic changes—in particular of triglycerides—independently of medication status in schizophrenia. We also highlight the absent effects of genetic liability to schizophrenia on CRP levels.</jats:p>
               </jats:sec>}},
  author       = {{Lin, Bochao D and Alkema, Anne and Peters, Triinu and Zinkstok, Janneke and Libuda, Lars and Hebebrand, Johannes and Antel, Jochen and Hinney, Anke and Cahn, Wiepke and Adan, Roger and Luykx, Jurjen J}},
  issn         = {{0300-5771}},
  journal      = {{International Journal of Epidemiology}},
  pages        = {{1505--1514}},
  title        = {{{Assessing causal links between metabolic traits, inflammation and schizophrenia: a univariable and multivariable, bidirectional Mendelian-randomization study}}},
  doi          = {{10.1093/ije/dyz176}},
  year         = {{2019}},
}

@article{27024,
  author       = {{Kalhoff, Hermann and Mesch, Christina M. and Stimming, Madlen and Israel, Andreas and Spitzer, Christoph and Beganovic, Latifa and Perez, Rocio Estella and Koletzko, Berthold and Warschburger, Petra and Kersting, Mathilde and Libuda, Lars}},
  issn         = {{0954-3007}},
  journal      = {{European Journal of Clinical Nutrition}},
  pages        = {{682--690}},
  title        = {{{Effects of LC-PUFA supply via complementary food on infant development—a food based intervention (RCT) embedded in a total diet concept}}},
  doi          = {{10.1038/s41430-019-0491-0}},
  year         = {{2019}},
}

@inbook{27379,
  author       = {{Schlegel-Matthies, Kirsten}},
  booktitle    = {{Verbraucherbildung: Ein weiter Weg zum mündigen Verbraucher }},
  editor       = {{Bala, Christian and Buddensiek, Marit and Maier, Petra and Schuldzinski, Wolfgang}},
  isbn         = {{978-3-86336-924-8 }},
  pages        = {{41--60}},
  publisher    = {{Kompetenzzentrum Verbraucherforschung NRW, Verbraucherzentrale Nordrhein-Westfalen e.V.}},
  title        = {{{Verbraucherbildung als Bildung für Lebensführung}}},
  doi          = {{10.15501/978-3-86336-924-8_3}},
  year         = {{2019}},
}

@article{27380,
  abstract     = {{<jats:p>Der Beitrag geht der Frage nach, wie haushaltsbezogene Bildung als Ernährungs- und Verbraucherbildung umgesetzt werden kann, damit Jugendliche selbstbestimmt und verantwortlich ihre individuellen Vorstellungen von einem „guten“ und „gelingenden“ Leben umsetzen können. Die Auseinandersetzung mit dem Zusammenwirken von gesellschaftlicher Lebensweise, privater Lebensführung und individuellen Lebensstilen erweist sich dabei als bedeutsam.</jats:p>}},
  author       = {{Schlegel-Matthies, Kirsten}},
  issn         = {{2196-1662}},
  journal      = {{Haushalt in Bildung & Forschung}},
  pages        = {{88--106}},
  title        = {{{Haushaltsbezogene Bildung – quo vadis? Daseinsvorsorge und Lebensführung im Wandel}}},
  doi          = {{10.3224/hibifo.v8i2.07}},
  year         = {{2019}},
}

@article{27758,
  abstract     = {{<jats:p>Published meta-analyses indicate significant but inconsistent incident type-2 diabetes (T2D)-dietary glycemic index (GI) and glycemic load (GL) risk ratios or risk relations (RR). It is now over a decade ago that a published meta-analysis used a predefined standard to identify valid studies. Considering valid studies only, and using random effects dose–response meta-analysis (DRM) while withdrawing spurious results (p &lt; 0.05), we ascertained whether these relations would support nutrition guidance, specifically for an RR &gt; 1.20 with a lower 95% confidence limit &gt;1.10 across typical intakes (approximately 10th to 90th percentiles of population intakes). The combined T2D–GI RR was 1.27 (1.15–1.40) (p &lt; 0.001, n = 10 studies) per 10 units GI, while that for the T2D–GL RR was 1.26 (1.15–1.37) (p &lt; 0.001, n = 15) per 80 g/d GL in a 2000 kcal (8400 kJ) diet. The corresponding global DRM using restricted cubic splines were 1.87 (1.56–2.25) (p &lt; 0.001, n = 10) and 1.89 (1.66–2.16) (p &lt; 0.001, n = 15) from 47.6 to 76.1 units GI and 73 to 257 g/d GL in a 2000 kcal diet, respectively. In conclusion, among adults initially in good health, diets higher in GI or GL were robustly associated with incident T2D. Together with mechanistic and other data, this supports that consideration should be given to these dietary risk factors in nutrition advice. Concerning the public health relevance at the global level, our evidence indicates that GI and GL are substantial food markers predicting the development of T2D worldwide, for persons of European ancestry and of East Asian ancestry.</jats:p>}},
  author       = {{Livesey, Geoffrey and Taylor, Richard and Livesey, Helen F. and Buyken, Anette and Jenkins, David J. A. and Augustin, Livia S. A. and Sievenpiper, John L. and Barclay, Alan W. and Liu, Simin and Wolever, Thomas M. S. and Willett, Walter C. and Brighenti, Furio and Salas-Salvadó, Jordi and Björck, Inger and Rizkalla, Salwa W. and Riccardi, Gabriele and Vecchia, Carlo La and Ceriello, Antonio and Trichopoulou, Antonia and Poli, Andrea and Astrup, Arne and Kendall, Cyril W. C. and Ha, Marie-Ann and Baer-Sinnott, Sara and Brand-Miller, Jennie C.}},
  issn         = {{2072-6643}},
  journal      = {{Nutrients}},
  title        = {{{Dietary Glycemic Index and Load and the Risk of Type 2 Diabetes: A Systematic Review and Updated Meta-Analyses of Prospective Cohort Studies}}},
  doi          = {{10.3390/nu11061280}},
  year         = {{2019}},
}

@article{27759,
  abstract     = {{<jats:p>While dietary factors are important modifiable risk factors for type 2 diabetes (T2D), the causal role of carbohydrate quality in nutrition remains controversial. Dietary glycemic index (GI) and glycemic load (GL) have been examined in relation to the risk of T2D in multiple prospective cohort studies. Previous meta-analyses indicate significant relations but consideration of causality has been minimal. Here, the results of our recent meta-analyses of prospective cohort studies of 4 to 26-y follow-up are interpreted in the context of the nine Bradford-Hill criteria for causality, that is: (1) Strength of Association, (2) Consistency, (3) Specificity, (4) Temporality, (5) Biological Gradient, (6) Plausibility, (7) Experimental evidence, (8) Analogy, and (9) Coherence. These criteria necessitated referral to a body of literature wider than prospective cohort studies alone, especially in criteria 6 to 9. In this analysis, all nine of the Hill’s criteria were met for GI and GL indicating that we can be confident of a role for GI and GL as causal factors contributing to incident T2D. In addition, neither dietary fiber nor cereal fiber nor wholegrain were found to be reliable or effective surrogate measures of GI or GL. Finally, our cost–benefit analysis suggests food and nutrition advice favors lower GI or GL and would produce significant potential cost savings in national healthcare budgets. The high confidence in causal associations for incident T2D is sufficient to consider inclusion of GI and GL in food and nutrient-based recommendations.</jats:p>}},
  author       = {{Livesey, Geoffrey and Taylor, Richard and Livesey, Helen F. and Buyken, Anette and Jenkins, David J. A. and Augustin, Livia S. A. and Sievenpiper, John L. and Barclay, Alan W. and Liu, Simin and Wolever, Thomas M. S. and Willett, Walter C. and Brighenti, Furio and Salas-Salvadó, Jordi and Björck, Inger and Rizkalla, Salwa W. and Riccardi, Gabriele and Vecchia, Carlo La and Ceriello, Antonio and Trichopoulou, Antonia and Poli, Andrea and Astrup, Arne and Kendall, Cyril W. C. and Ha, Marie-Ann and Baer-Sinnott, Sara and Brand-Miller, Jennie C.}},
  issn         = {{2072-6643}},
  journal      = {{Nutrients}},
  title        = {{{Dietary Glycemic Index and Load and the Risk of Type 2 Diabetes: Assessment of Causal Relations}}},
  doi          = {{10.3390/nu11061436}},
  year         = {{2019}},
}

@article{27772,
  author       = {{Oluwagbemigun, Kolade and Buyken, Anette and Alexy, Ute and Schmid, Matthias and Herder, Christian and Nöthlings, Ute}},
  issn         = {{1475-2840}},
  journal      = {{Cardiovascular Diabetology}},
  title        = {{{Developmental trajectories of body mass index from childhood into late adolescence and subsequent late adolescence–young adulthood cardiometabolic risk markers}}},
  doi          = {{10.1186/s12933-019-0813-5}},
  year         = {{2019}},
}

@article{20412,
  author       = {{An, YW and DiTrani Lobacz, A and Lehmann, T and Baumeister, Jochen and Rose, WC and Higginson, JS and Rosen, J and Swanik, CB}},
  issn         = {{0905-7188}},
  journal      = {{Scand J Med Sci Sports}},
  number       = {{2}},
  pages        = {{251--258}},
  title        = {{{Neuroplastic changes in anterior cruciate ligament reconstruction patients from neuromechanical decoupling.}}},
  doi          = {{10.1111/sms.13322}},
  volume       = {{29}},
  year         = {{2019}},
}

@article{20420,
  author       = {{Gokeler, A and Dingenen, B}},
  issn         = {{1466-853x}},
  journal      = {{Phys Ther Sport}},
  pages        = {{10--14}},
  title        = {{{Between-session and inter-rater reliability of the modified tuck jump assessment in healthy adult athletes.}}},
  doi          = {{10.1016/j.ptsp.2019.02.002}},
  volume       = {{37}},
  year         = {{2019}},
}

@article{20421,
  author       = {{Benjaminse, A and Webster, KE and Gokeler, A}},
  issn         = {{0112-1642}},
  journal      = {{Sports Med}},
  number       = {{8}},
  pages        = {{1305--1306}},
  title        = {{{Reply to Koller and Schobersberger: Comment on: "Revised Approach to the Role of Fatigue in Anterior Cruciate Ligament Injury Prevention: A Systematic Review with Meta-analyses".}}},
  doi          = {{10.1007/s40279-019-01130-9}},
  volume       = {{49}},
  year         = {{2019}},
}

@article{20423,
  author       = {{Rostami, A and Letafatkar, A and Gokeler, A and Khaleghi Tazji, M}},
  issn         = {{1056-6716}},
  journal      = {{J Sport Rehabil}},
  pages        = {{1--14}},
  title        = {{{The Effects of Instruction Exercises on Performance and Kinetic Factors Associated With Lower-Extremity Injury in Landing After Volleyball Blocks.}}},
  doi          = {{10.1123/jsr.2018-0163}},
  year         = {{2019}},
}

@article{20425,
  author       = {{Gokeler, A and Neuhaus, D and Benjaminse, A and Grooms, DR and Baumeister, Jochen}},
  issn         = {{0112-1642}},
  journal      = {{Sports Med}},
  number       = {{6}},
  pages        = {{979}},
  title        = {{{Correction to: Principles of Motor Learning to Support Neuroplasticity After ACL Injury: Implications for Optimizing Performance and Reducing Risk of Second ACL Injury.}}},
  doi          = {{10.1007/s40279-019-01078-w}},
  volume       = {{49}},
  year         = {{2019}},
}

