@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}},
}

@inproceedings{26459,
  author       = {{Saveta, Tzanina and Daskalaki, Evangelia and Flouris, Giorgos and Fundulaki, Irini and Herschel, Melanie and Ngonga Ngomo, Axel-Cyrille}},
  booktitle    = {{Proceedings of the 24th International Conference on World Wide Web Companion, {WWW} 2015, Florence, Italy, May 18-22, 2015 - Companion Volume}},
  editor       = {{Gangemi, Aldo and Leonardi, Stefano and Panconesi, Alessandro}},
  pages        = {{105--106}},
  publisher    = {{{ACM}}},
  title        = {{{Pushing the Limits of Instance Matching Systems: A Semantics-Aware Benchmark for Linked Data}}},
  doi          = {{10.1145/2740908.2742729}},
  year         = {{2015}},
}

@inproceedings{26460,
  author       = {{Martin, Michael and Abicht, Konrad and Stadler, Claus and Ngonga Ngomo, Axel-Cyrille and Soru, Tommaso and Auer, Sören}},
  booktitle    = {{Proceedings of the 24th International Conference on World Wide Web Companion, {WWW} 2015, Florence, Italy, May 18-22, 2015 - Companion Volume}},
  editor       = {{Gangemi, Aldo and Leonardi, Stefano and Panconesi, Alessandro}},
  pages        = {{219--222}},
  publisher    = {{{ACM}}},
  title        = {{{CubeViz: Exploration and Visualization of Statistical Linked Data}}},
  doi          = {{10.1145/2740908.2742848}},
  year         = {{2015}},
}

@inproceedings{26461,
  author       = {{Soru, Tommaso and Marx, Edgard and Ngonga Ngomo, Axel-Cyrille}},
  booktitle    = {{Proceedings of the 24th International Conference on World Wide Web, {WWW} 2015, Florence, Italy, May 18-22, 2015}},
  editor       = {{Gangemi, Aldo and Leonardi, Stefano and Panconesi, Alessandro}},
  pages        = {{1025--1033}},
  publisher    = {{{ACM}}},
  title        = {{{ROCKER: A Refinement Operator for Key Discovery}}},
  doi          = {{10.1145/2736277.2741642}},
  year         = {{2015}},
}

@inproceedings{26462,
  author       = {{Usbeck, Ricardo and Röder, Michael and Ngonga Ngomo, Axel-Cyrille and Baron, Ciro and Both, Andreas and Brümmer, Martin and Ceccarelli, Diego and Cornolti, Marco and Cherix, Didier and Eickmann, Bernd and Ferragina, Paolo and Lemke, Christiane and Moro, Andrea and Navigli, Roberto and Piccinno, Francesco and Rizzo, Giuseppe and Sack, Harald and Speck, René and Troncy, Raphaël and Waitelonis, Jörg and Wesemann, Lars}},
  booktitle    = {{Proceedings of the 24th International Conference on World Wide Web, {WWW} 2015, Florence, Italy, May 18-22, 2015}},
  editor       = {{Gangemi, Aldo and Leonardi, Stefano and Panconesi, Alessandro}},
  pages        = {{1133--1143}},
  publisher    = {{{ACM}}},
  title        = {{{GERBIL: General Entity Annotator Benchmarking Framework}}},
  doi          = {{10.1145/2736277.2741626}},
  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}},
}

@inproceedings{1148,
  abstract     = {{The individual search for information about physicians on Web 2.0 platforms can affect almost all aspects of our lives. People can directly access physician rating websites via web browsers or use any search engine to find physician reviews and ratings filtered by location resp. specialty. However, sometimes keyword search does not meet user needs because of the disagreement of users’ common terms queries for symptoms and the widespread medical terminology. In this paper, we present the prototype of a specialised search engine that overcomes this by indexing user-generated content (i.e., review texts) for physician discovery and provides automatic suggestions as well as an appropriate visualisation. On the one hand, we consider the available numeric physician ratings as sorting criterion for the ranking of query results. Furthermore, we extended existing ranking algorithms with respect to domain-specific types and physicians ratings on the other hand. We gathered more than 860,000 review texts and collected more than 213,000 physician records. A random test shows that about 19.7% of 5,100 different words in total are health- related and partly belong to consumer health vocabularies. Our evaluation results show that the query results fit user's particular health issues when seeking for physicians.}},
  author       = {{Bäumer, Frederik Simon and Dollmann, Markus and Geierhos, Michaela}},
  booktitle    = {{The 6th International Conference on Emerging Ubiquitous Systems and Pervasive Networks (EUSPN 2015) / The 5th International Conference on Current and Future Trends of Information and Communication Technologies in Healthcare (ICTH-2015) / Affiliated Workshops}},
  editor       = {{Shakshuki, Elhadi M.}},
  issn         = {{18770509}},
  keywords     = {{Physician Discovery, Consumer Health Vocabulary, Common Terms Query}},
  location     = {{Berlin, Germany}},
  pages        = {{417--424}},
  publisher    = {{Elsevier}},
  title        = {{{Find a Physician by Matching Medical Needs described in your Own Words}}},
  doi          = {{10.1016/j.procs.2015.08.362}},
  volume       = {{63}},
  year         = {{2015}},
}

@inbook{18863,
  author       = {{Seng, Eva- Maria}},
  booktitle    = {{patrimoine et architecture. Matériel/Immatériel 40 ans de patrimoine, 1970-2010, Cahier 21-22, Avril 2015, Office du patrimoine et des sites, Département de l’aménagement, du logement et de l’énergie}},
  editor       = {{Nemec-Piguet, Sabine}},
  pages        = {{34--49}},
  title        = {{{The situation of German Heritage during the Past Forty Years}}},
  year         = {{2015}},
}