@article{51734,
  author       = {{Reuker, Sabine and Rischke, Anne and Kämpfe, Astrid and Schmitz, Björn and Teubert, Hilke and Thissen, Anne and Wiethäuper, Holger}},
  journal      = {{sportwissenschaft}},
  number       = {{2}},
  pages        = {{88--101}},
  title        = {{{Inklusion im Sportunterricht - Ein Überblick über internationale Forschungsergebnisse aus den Jahren 2005 bis 2014}}},
  volume       = {{46}},
  year         = {{2016}},
}

@article{57690,
  author       = {{Gabriel, Lena and Weiffen, Sandra}},
  journal      = {{sportpädagogik}},
  number       = {{3+4}},
  pages        = {{8--13}},
  title        = {{{"Wenn jemand ein Tor macht, dann freuen sich ja alle"! Torvariationen im Kopfhandball-Spiel erfahren und selbstständig gestalten}}},
  volume       = {{40}},
  year         = {{2016}},
}

@inbook{65794,
  author       = {{Golenia, Miriam and Neuber, Nils and Kehne, Miriam and Kraft, Daniel and Heim, Rüdiger}},
  booktitle    = {{Bildungsforschung im Sport}},
  editor       = {{Heim, C and Prohl, R and Kaboth, H}},
  isbn         = {{978-3-88020-636-6}},
  location     = {{Frankfurt/Main}},
  pages        = {{82--83}},
  publisher    = {{Feldhaus Verlag}},
  title        = {{{Wer entscheidet sich für ein Sport(lehramts)studium?}}},
  volume       = {{256}},
  year         = {{2016}},
}

@article{28015,
  abstract     = {{Background
Understanding changes in dietary intake during puberty could aid the mapping of dietary interventions for primary prevention. The present study describes dietary changes from childhood to adolescence, and their associations with parental education, family income, child education, body mass index (BMI), pubertal onset and screen-time sedentary behaviour.
Methods
Dietary data (n = 1232) were obtained from food frequency questionnaires at the 10- and 15-year follow-ups of the GINIplus birth cohort study. Intakes of 17 food groups, macronutrients and antioxidant vitamins, were described by a) paired Wilcoxon rank sum tests, comparing average intakes at each time-point, and b) Cohen’s kappa “tracking” coefficients, measuring stability of intakes (maintenance of relative tertile positions across time). Further, associations of changes (tertile position increase or decrease vs. tracking) with parental education, family income, child education, pubertal onset, BMI, and screen-time, were assessed by logistic regression and multinomial logistic regression models stratified by baseline intake tertile.
Results
Both sexes increased average intakes of water and decreased starchy vegetables, margarine and dairy. Females decreased meat and retinol intakes and increased vegetables, grains, oils and tea. Males decreased fruit and carbohydrates and increased average intakes of meat, caloric drinks, water, protein, fat, polyunsaturated fatty acids (PUFAs), vitamin C and alpha-tocopherol. Both sexes presented mainly “fair” tracking levels [κw = 0.21–0.40]. Females with high (vs. low) parental education were more likely to increase their nut intake [OR = 3.8; 95 % CI = (1.7;8.8)], and less likely to decrease vitamin C intakes [0.2 (0.1;0.5)], while males were less likely to increase egg consumption [0.2 (0.1;0.5)] and n3 PUFAs [0.2 (0.1;0.5)]. Females with a higher (vs. low) family income were more likely to maintain medium wholegrain intakes [0.2 (0.1;0.7) for decrease vs. tracking, and 0.1 (0.0;0.5) for increase vs. tracking], and were less likely to decrease vitamin C intakes [0.2 (0.1;0.6)]. Males with high education were less likely to increase sugar-sweetened foods [0.1 (0.1;0.4)]. Finally, BMI in females was negatively associated with decreasing protein intakes [0.7 (0.6;0.9)]. In males BMI was positively associated with increasing margarine [1.4 (1.1;1.6)] and vitamin C intakes [1.4 (1.1;1.6)], and negatively associated with increasing n3 PUFA.
Conclusions
Average dietary intakes changed significantly, despite fair tracking levels, suggesting the presence of trends in dietary behaviour during puberty. Family income and parental education predominantly influenced intake changes. Our results support the rationale for dietary interventions targeting children, and suggest that sex-specific subpopulations, e.g. low socio-economic status, should be considered for added impact.}},
  author       = {{Harris, Carla  and Flexeder, Claudia and Thiering, Elisabeth and Buyken, Anette and Berdel, Dietrich and Koletzko, Sibylle and Bauer, Carl-Peter and Brüske, Irene and Koletzko, Berthold and Standl, Marie}},
  journal      = {{BMC Public Health}},
  keywords     = {{Puberty, Dietary intake, Dietary changes, Tracking, Determinants, Epidemiology}},
  pages        = {{841}},
  title        = {{{Changes in dietary intake during puberty and their determinants: results from the GINIplus birth cohort study}}},
  volume       = {{15}},
  year         = {{2015}},
}

@article{26881,
  author       = {{Klünder, Nina}},
  journal      = {{Hauswirtschaft und Wissenschaft }},
  number       = {{1}},
  pages        = {{45--47}},
  title        = {{{Gesellschaftliche und kulturelle Bedeutung von Mittagsverpflegung in Gießener Kindertagesstätten}}},
  volume       = {{63}},
  year         = {{2015}},
}

@article{26884,
  author       = {{Meier-Gräwe, Uta and Klünder, Nina}},
  journal      = {{KiTa aktuell}},
  number       = {{6}},
  pages        = {{143--144}},
  title        = {{{Verpflegung in Kindertagesstätten gestalten – Ergebnisse einer qualitativen Studie}}},
  volume       = {{23}},
  year         = {{2015}},
}

@article{26918,
  author       = {{Wright, C J and Atkinson, F S and Ramalingam, N and Buyken, Anette and Brand-Miller, J C}},
  issn         = {{0954-3007}},
  journal      = {{European Journal of Clinical Nutrition}},
  pages        = {{939--943}},
  title        = {{{Effects of human milk and formula on postprandial glycaemia and insulinaemia}}},
  doi          = {{10.1038/ejcn.2015.29}},
  year         = {{2015}},
}

@article{26919,
  author       = {{Goletzke, Janina and Buyken, Anette and Louie, Jimmy CY and Moses, Robert G and Brand-Miller, Jennie C}},
  issn         = {{0002-9165}},
  journal      = {{The American Journal of Clinical Nutrition}},
  pages        = {{626--632}},
  title        = {{{Dietary micronutrient intake during pregnancy is a function of carbohydrate quality}}},
  doi          = {{10.3945/ajcn.114.104836}},
  year         = {{2015}},
}

@article{26920,
  author       = {{Günther, Anke L. B. and Schulze, Matthias B. and Kroke, Anja and Diethelm, Katharina and Joslowski, Gesa and Krupp, Danika and Wudy, Stefan and Buyken, Anette}},
  issn         = {{0163-5581}},
  journal      = {{Nutrition and Cancer}},
  pages        = {{877--892}},
  title        = {{{Early Diet and Later Cancer Risk: Prospective Associations of Dietary Patterns During Critical Periods of Childhood with the GH-IGF Axis, Insulin Resistance and Body Fatness in Younger Adulthood}}},
  doi          = {{10.1080/01635581.2015.1056313}},
  year         = {{2015}},
}

@article{26921,
  abstract     = {{<jats:title>Abstract</jats:title><jats:p>The growth hormone (GH) insulin-like growth factor (IGF) axis has been linked to insulin metabolism and cancer risk. Experimental evidence indicates that the GH–IGF axis itself can be influenced by dietary flavonoids. As fruit and vegetable (FV) intake is a major source of flavonoid consumption, FV’s beneficial health effects may be explained via flavonoids’ influence on the GH–IGF axis, but observational evidence is currently rare. We used data from Dortmund Nutritional and Anthropometric Longitudinally Designed Study participants to analyse prospective associations between FV, fruit intake and flavonoid intake from FV (FlavFV) with IGF-1 and its binding proteins IGFBP-2 and IGFBP-3. Subjects needed to provide a fasting blood sample in adulthood (18–39 years) and at least two 3-d weighed dietary records in early life (0·5−2 years,<jats:italic>n</jats:italic>191), mid-childhood (3−7 years,<jats:italic>n</jats:italic>265) or adolescence (girls: 9−15 years, boys: 10−16 years,<jats:italic>n</jats:italic>261). Additional analyses were conducted among those providing at least three 24-h urine samples in adolescence (<jats:italic>n</jats:italic>236) to address the predictor urinary hippuric acid (HA), a biomarker of polyphenol intake. Higher fruit intake in mid-childhood and adolescence was related to higher IGFBP-2 in adulthood (<jats:italic>P</jats:italic>=0·03 and<jats:italic>P</jats:italic>=0·045). Comparable trends (<jats:italic>P</jats:italic>=0·045−0·09) were discernable for FV intake (but not FlavFV) in all three time windows. Similarly, higher adolescent HA excretion tended to be related (<jats:italic>P</jats:italic>=0·06) to higher adult IGFBP-2 levels. Regarding IGFBP-3, a marginal (<jats:italic>P</jats:italic>=0·08) positive association was observed with FlavFV in mid-childhood only. None of the investigated dietary factors was related to IGF-1. In conclusion, higher fruit and FV intakes during growth may be relevant for adult IGFBP-2, but probably not for IGFBP-3 or IGF-1.</jats:p>}},
  author       = {{Krupp, Danika and Remer, Thomas and Penczynski, Katharina J. and Bolzenius, Katja and Wudy, Stefan A. and Buyken, Anette}},
  issn         = {{0007-1145}},
  journal      = {{British Journal of Nutrition}},
  pages        = {{527--537}},
  title        = {{{Relevance of fruits, vegetables and flavonoids from fruits and vegetables during early life, mid-childhood and adolescence for levels of insulin-like growth factor (IGF-1) and its binding proteins IGFBP-2 and IGFBP-3 in young adulthood}}},
  doi          = {{10.1017/s0007114515004742}},
  year         = {{2015}},
}

@article{26922,
  author       = {{Penczynski, Katharina J. and Krupp, Danika and Bring, Anna and Bolzenius, Katja and Remer, Thomas and Buyken, Anette}},
  issn         = {{1436-6207}},
  journal      = {{European Journal of Nutrition}},
  pages        = {{757--766}},
  title        = {{{Relative validation of 24-h urinary hippuric acid excretion as a biomarker for dietary flavonoid intake from fruit and vegetables in healthy adolescents}}},
  doi          = {{10.1007/s00394-015-1121-9}},
  year         = {{2015}},
}

@article{27012,
  author       = {{Augustin, L.S.A. and Kendall, C.W.C. and Jenkins, D.J.A. and Willett, W.C. and Astrup, A. and Barclay, A.W. and Björck, I. and Brand-Miller, J.C. and Brighenti, F. and Buyken, Anette and Ceriello, A. and La Vecchia, C. and Livesey, G. and Liu, S. and Riccardi, G. and Rizkalla, S.W. and Sievenpiper, J.L. and Trichopoulou, A. and Wolever, T.M.S. and Baer-Sinnott, S. and Poli, A.}},
  issn         = {{0939-4753}},
  journal      = {{Nutrition, Metabolism and Cardiovascular Diseases}},
  pages        = {{795--815}},
  title        = {{{Glycemic index, glycemic load and glycemic response: An International Scientific Consensus Summit from the International Carbohydrate Quality Consortium (ICQC)}}},
  doi          = {{10.1016/j.numecd.2015.05.005}},
  year         = {{2015}},
}

@article{27039,
  author       = {{Libuda, Lars and Mesch, Christina M. and Stimming, Madlen and Demmelmair, Hans and Koletzko, Berthold and Warschburger, Petra and Blanke, Katharina and Reischl, Eva and Kalhoff, Hermann and Kersting, Mathilde}},
  issn         = {{1436-6207}},
  journal      = {{European Journal of Nutrition}},
  pages        = {{1633--1644}},
  title        = {{{Fatty acid supply with complementary foods and LC-PUFA status in healthy infants: results of a randomised controlled trial}}},
  doi          = {{10.1007/s00394-015-0982-2}},
  year         = {{2015}},
}

@article{27040,
  author       = {{Schröder, Maike and Müller, Katrin and Falkenstein, Michael and Stehle, Peter and Kersting, Mathilde and Libuda, Lars}},
  issn         = {{0031-9384}},
  journal      = {{Physiology & Behavior}},
  pages        = {{307--314}},
  title        = {{{Short-term effects of lunch on children's executive cognitive functioning: The randomized crossover Cognition Intervention Study Dortmund PLUS (CogniDo PLUS)}}},
  doi          = {{10.1016/j.physbeh.2015.09.025}},
  year         = {{2015}},
}

@article{27511,
  author       = {{Schlegel-Matthies, Kirsten}},
  journal      = {{Haushalt in Bildung und Forschung (HiBiFo) }},
  number       = {{2}},
  pages        = {{18--30}},
  title        = {{{Gesundheit und Selbstverantwortung – Was kann und was sollte gelehrt werden?}}},
  volume       = {{4}},
  year         = {{2015}},
}

@article{27579,
  author       = {{Libuda, Lars and Schröder, M. and Müller, K.  and Kersting, M.}},
  journal      = {{Pädiatrische Praxis}},
  pages        = {{647--656}},
  title        = {{{Mittagessen in der Schule – macht es die Kinder schlau oder müde?}}},
  volume       = {{84}},
  year         = {{2015}},
}

@article{27783,
  author       = {{Brand-Miller, Jennie C. and Astrup, Arne and Buyken, Anette}},
  issn         = {{0098-7484}},
  journal      = {{JAMA}},
  title        = {{{Low vs High Glycemic Index Diet}}},
  doi          = {{10.1001/jama.2015.2078}},
  year         = {{2015}},
}

@article{20399,
  author       = {{Louw, Q and Gillion, N and van Niekerk, SM and Morris, L and Baumeister, Jochen}},
  issn         = {{1440-2440}},
  journal      = {{J Sci Med Sport}},
  number       = {{4}},
  pages        = {{469--474}},
  title        = {{{The effect of vision on knee biomechanics during functional activities - A systematic review.}}},
  doi          = {{10.1016/j.jsams.2014.06.009}},
  volume       = {{18}},
  year         = {{2015}},
}

@inproceedings{20639,
  author       = {{Reinecke, K and Scheer, V and Heitkamp, CH and Wrenger, M and Reinsberger, C and Baumeister, Jochen}},
  number       = {{7+8}},
  pages        = {{187}},
  title        = {{{Evaluation eines Trainingsprogramms zur Verbesserung der kardiovaskulären Risikofaktoren bei Feuerwehrleuten}}},
  volume       = {{66}},
  year         = {{2015}},
}

@inproceedings{20643,
  author       = {{Schubert, M and Reinecke, K and Heitkamp, HC and Reinsberger, C and Baumeister, Jochen}},
  number       = {{7+8}},
  pages        = {{195}},
  title        = {{{Kortikale Netzwerkdynamik motorischer Kontrollprozesse - Grundlage zur Unterscuhung zentraler Ermüdung}}},
  volume       = {{66}},
  year         = {{2015}},
}