@article{27035,
  author       = {{Xue, Hongmei and Tian, Guo and Duan, Ruonan and Quan, Liming and Zhao, Li and Yang, Min and Libuda, Lars and Muckelbauer, Rebecca and Cheng, Guo}},
  issn         = {{2072-6643}},
  journal      = {{Nutrients}},
  title        = {{{Sedentary Behavior Is Independently Related to Fat Mass among Children and Adolescents in South China}}},
  doi          = {{10.3390/nu8110667}},
  year         = {{2016}},
}

@article{27036,
  abstract     = {{<jats:title>Abstract</jats:title><jats:p>Studies about effects of school lunch on children’s cognition are rare; two previous studies (CogniDo, CogniDo PLUS) generally found no negative effects of lunch on children’s cognitive performance at the end of lunch break (i.e. 45 min after finishing lunch), but suggested potential beneficial effects for single parameters. Therefore, the present study investigated the hypothesis of potential positive effects of school lunch on cognitive performance at early afternoon (90 min after finishing lunch). A randomised, cross-over intervention trial was conducted at a comprehensive school with fifth and sixth grade students. Participants were randomised into two groups: On day 1, group 1 did not eat lunch, whereas group 2 received lunch <jats:italic>ad libitum</jats:italic>. On day 2 (1 week later), group 2 did not eat lunch and group 1 received lunch <jats:italic>ad libitum</jats:italic>. The cognitive parameters task switching, working memory updating and alertness were tested using a computerised test battery 90 min after finishing the meal. Of the 204 recruited children, fifty were excluded because of deviations from the study protocol or absence on one of the 2 test days, which resulted in 154 participants. Data showed no significant effects of lunch on task switching, working memory updating and alertness (<jats:italic>P</jats:italic> values between 0·07 and 0·79). The present study suggests that school lunch does not seem to have beneficial effects on children’s cognitive functions regarding the conducted tests at early afternoon. Together with our previous studies, we conclude that school lunch in general has no negative effects on cognitive performance in children. However, beneficial effects seem to be restricted to a relatively short time period after eating lunch.</jats:p>}},
  author       = {{Schröder, Maike and Müller, Katrin and Falkenstein, Michael and Stehle, Peter and Kersting, Mathilde and Libuda, Lars}},
  issn         = {{0007-1145}},
  journal      = {{British Journal of Nutrition}},
  pages        = {{1298--1305}},
  title        = {{{Lunch at school and children’s cognitive functioning in the early afternoon: results from the Cognition Intervention Study Dortmund Continued (CoCo)}}},
  doi          = {{10.1017/s0007114516002932}},
  year         = {{2016}},
}

@article{27037,
  abstract     = {{<jats:title>Abstract</jats:title><jats:p>An intervention study showed that promoting water consumption in schoolchildren prevented overweight, but a mechanism linking water consumption to overweight was not substantiated. We investigated whether increased water consumption replaced sugar-containing beverages and whether changes in water or sugar-containing beverages influenced body weight outcomes. In a secondary analysis of the intervention study in Germany, we analysed combined longitudinal data from the intervention and control groups. Body weight and height were measured and beverage consumption was self-reported by a 24-h recall questionnaire at the beginning and end of the school year 2006/2007. The effect of a change in water consumption on change in sugar-containing beverage (soft drinks and juices) consumption, change in BMI (kg/m<jats:sup>2</jats:sup>) and prevalence of overweight and obesity at follow-up was analysed using regression analyses. Of 3220 enroled children, 1987 children (mean age 8·3 (<jats:sc>sd</jats:sc> 0·7) years) from thirty-two schools were analysed. Increased water consumption by 1 glass/d was associated with a reduced consumption of sugar-containing beverages by 0·12 glasses/d (95 % CI −0·16, −0·08) but was not associated with changes in BMI (<jats:italic>P</jats:italic>=0·63). Increased consumption of sugar-containing beverages by 1 glass/d was associated with an increased BMI by 0·02 (95 % CI 0·00, 0·03) kg/m<jats:sup>2</jats:sup> and increased prevalence of obesity (OR 1·22; 95 % CI 1·04, 1·44) but not with overweight (<jats:italic>P</jats:italic>=0·83). In conclusion, an increase in water consumption can replace sugar-containing beverages. As sugar-containing beverages were associated with weight gain, this replacement might explain the prevention of obesity through the promotion of water consumption.</jats:p>}},
  author       = {{Muckelbauer, Rebecca and Gortmaker, Steven L. and Libuda, Lars and Kersting, Mathilde and Clausen, Kerstin and Adelberger, Bettina and Müller-Nordhorn, Jacqueline}},
  issn         = {{0007-1145}},
  journal      = {{British Journal of Nutrition}},
  pages        = {{2057--2066}},
  title        = {{{Changes in water and sugar-containing beverage consumption and body weight outcomes in children}}},
  doi          = {{10.1017/s0007114516001136}},
  year         = {{2016}},
}

@article{27038,
  author       = {{Cheng, Guo and Duan, Ruonan and Kranz, Sibylle and Libuda, Lars and Zhang, Lishi}},
  issn         = {{2212-2672}},
  journal      = {{Journal of the Academy of Nutrition and Dietetics}},
  pages        = {{608--617}},
  title        = {{{Development of a Dietary Index to Assess Overall Diet Quality for Chinese School-Aged Children: The Chinese Children Dietary Index}}},
  doi          = {{10.1016/j.jand.2015.11.010}},
  year         = {{2016}},
}

@article{27523,
  author       = {{Libuda, Lars and Antel, J. and Hebebrand, J. and Föcker, M.}},
  issn         = {{0028-2804}},
  journal      = {{Der Nervenarzt}},
  pages        = {{87--101}},
  title        = {{{Ernährung und psychische Erkrankungen}}},
  doi          = {{10.1007/s00115-016-0262-2}},
  year         = {{2016}},
}

@article{27738,
  author       = {{Diederichs, Tanja and Roßbach, Sarah and Herder, Christian and Alexy, Ute and Buyken, Anette}},
  issn         = {{2072-6643}},
  journal      = {{Nutrients}},
  title        = {{{Relevance of Morning and Evening Energy and Macronutrient Intake during Childhood for Body Composition in Early Adolescence}}},
  doi          = {{10.3390/nu8110716}},
  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{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{27975,
  author       = {{Carbohydrate Quality Consortium, International and Jenkins, DJ and Willett, WC and Astrup, A and Augustin, LS and Baer-Sinnott, S and Barclay, AW and Björck, I and Brand-Miller, JC and Brighenti, F and Buyken, Anette and Ceriello, A and Kendall, CW and La Vecchia, C and Livesey, G and Liu, S and Poli, A and Riccardi, G and Rizkalla, SW and Sievenpiper, JL and Trichopoulou, A and Wolever, TM}},
  issn         = {{0007-1145}},
  journal      = {{Br J Nutr}},
  number       = {{2}},
  pages        = {{380--382}},
  title        = {{{Glycaemic index: did Health Canada get it wrong? Position from the International Carbohydrate Quality Consortium (ICQC).}}},
  doi          = {{10.1017/s0007114513003905}},
  volume       = {{111}},
  year         = {{2014}},
}