@article{35303,
  abstract     = {{<jats:title>Abstract</jats:title><jats:sec>
                <jats:title>Purpose</jats:title>
                <jats:p>Studies about effects of lunch dietary Glycemic Index (GI) on cognition of schoolchildren are scarce. Our previous CogniDo GI study found no changes of cognition in the early postprandial phase after consumption of two rice types with medium vs. high dietary GI for lunch (i.e., 45 min after starting lunch). This study investigated whether the dietary GI of lunch has an impact on cognition of schoolchildren in the late postprandial phase, 90 min after lunch.</jats:p>
              </jats:sec><jats:sec>
                <jats:title>Methods</jats:title>
                <jats:p>A randomized, 2 × 2 crossover intervention study was conducted at a comprehensive school with 5th and 6th grade students. Participants (<jats:italic>n</jats:italic> = 212) were randomly assigned to either sequence 1 or 2. In the first period, participants of sequence 1 received a dish with high GI rice (GI: 79), those of sequence 2 with medium GI rice (GI: 64)—in the second period, 1 week later, vice versa. Computer-based cognitive testing was performed 90 min after lunch examining tonic alertness, visual search and task switching, and working memory. Treatment effects and treatment effects adjusted for estimated lunch glycemic load (GL) were analyzed using a linear mixed model.</jats:p>
              </jats:sec><jats:sec>
                <jats:title>Results</jats:title>
                <jats:p>The selected cognitive parameters were not affected by the GI of lunch 90 min after lunch, neither after intention-to-treat nor in the per-protocol analysis. Adjustment for GL also did not change results.</jats:p>
              </jats:sec><jats:sec>
                <jats:title>Conclusion</jats:title>
                <jats:p>The present study revealed no notable differences after the consumption of two rice types with medium vs. high dietary GI for lunch in children’s cognitive function in the late postprandial phase, 90 min after lunch.</jats:p>
              </jats:sec><jats:sec>
                <jats:title>Clinical trial registration</jats:title>
                <jats:p>German Clinical Trials Register (DRKS00013597); date of registration: 16/04/2018, retrospectively registered.</jats:p>
              </jats:sec>}},
  author       = {{Drozdowska, Alina and Sinningen, Kathrin and Falkenstein, Michael and Rudolf, Henrik and Libuda, Lars and Buyken, Anette and Lücke, Thomas and Kersting, Mathilde}},
  issn         = {{1436-6207}},
  journal      = {{European Journal of Nutrition}},
  keywords     = {{Nutrition and Dietetics, Medicine (miscellaneous)}},
  number       = {{3}},
  pages        = {{1637--1647}},
  publisher    = {{Springer Science and Business Media LLC}},
  title        = {{{Impact of lunch with carbohydrates differing in glycemic index on children's cognitive functioning in the late postprandial phase: a randomized crossover study}}},
  doi          = {{10.1007/s00394-021-02766-y}},
  volume       = {{61}},
  year         = {{2021}},
}

@article{53780,
  abstract     = {{<jats:title>Abstract</jats:title><jats:sec>
                <jats:title>Purpose</jats:title>
                <jats:p>To analyse the association between intake of total dairy (TD) and types of dairy [liquid dairy (LD), solid dairy (SD), low-fat dairy (LFD), high-fat dairy (HFD), high sugar dairy (HSD), low-sugar dairy (LSD), not fermented dairy (NFD), as well as fermented dairy (FD)] and long-term changes in body weight status and composition among children and adolescents in Germany.</jats:p>
              </jats:sec><jats:sec>
                <jats:title>Methods</jats:title>
                <jats:p>In total, 9999 3-day dietary records collected between 1985 and 2019 by 1126 participants (3.5–18.5 years; boys: 50.8%) of the Dortmund Nutritional and Anthropometric Longitudinally Designed (DONALD) study were analysed. Polynomial mixed-effects regression models were used to examine whether changes (median follow-up: 9 years) in the intake of TD and dairy types (in 100 g/1000 kcal total energy intake) were associated with changes in body-mass-index-standard-deviation-score (BMI-SDS); fat mass index (FMI); fat-free mass index (FFMI) over time.</jats:p>
              </jats:sec><jats:sec>
                <jats:title>Results</jats:title>
                <jats:p>An individual increase in TD intake was slightly but significantly associated with an increase in BMI-SDS (<jats:italic>β </jats:italic>= 0.0092; <jats:italic>p</jats:italic> = 0.0371), FMI (<jats:italic>β </jats:italic>= 0.022; <jats:italic>p</jats:italic> = 0.0162), and FFMI (<jats:italic>β </jats:italic>= 0.0156; <jats:italic>p</jats:italic> = 0.0417) after adjustment for potential confounder. Analyses for LD (BMI-SDS: <jats:italic>β </jats:italic>= 0.0139; <jats:italic>p</jats:italic> = 0.0052; FMI: <jats:italic>β </jats:italic>= 0.0258; <jats:italic>p</jats:italic> = 0.0125; FFMI: <jats:italic>β </jats:italic>= 0.0239; <jats:italic>p</jats:italic> = 0.0052) and LSD intake (BMI-SDS: <jats:italic>β </jats:italic>= 0.0132; <jats:italic>p</jats:italic> = 0.0041, FMI: <jats:italic>β </jats:italic>= 0.02; <jats:italic>p</jats:italic> = 0.0316, FFMI: <jats:italic>β </jats:italic>= 0.0183; <jats:italic>p</jats:italic> = 0.0189) showed similar results to TD. Both processing method and fat content showed no association with body composition in our analyses.</jats:p>
              </jats:sec><jats:sec>
                <jats:title>Conclusion</jats:title>
                <jats:p>Increases in TD, LD, and LSD intake showed small but significant increases in BMI and concomitant increases in fat mass and lean mass. However, the observed changes were too small to expect biological or physiological meaningful effects. Overall, our results showed that policies to promote dairy intake in childhood are to be welcomed, as no negative effects on body composition are expected, while the intake of important nutrients for growth is ensured. The type of dairy does not seem to matter.</jats:p>
              </jats:sec>}},
  author       = {{Hohoff, Eva and Perrar, Ines and Jankovic, Nicole and Alexy, Ute}},
  issn         = {{1436-6207}},
  journal      = {{European Journal of Nutrition}},
  number       = {{2}},
  pages        = {{1087--1096}},
  publisher    = {{Springer Science and Business Media LLC}},
  title        = {{{Dairy intake and long-term body weight status in German children and adolescents: results from the DONALD study}}},
  doi          = {{10.1007/s00394-021-02715-9}},
  volume       = {{61}},
  year         = {{2021}},
}

@article{26527,
  abstract     = {{<jats:title>Abstract</jats:title><jats:sec>
                <jats:title>Background</jats:title>
                <jats:p>While observational studies revealed an inverse association between serum 25(OH)vitamin D (25(OH)D) and the risk of attention deficit/hyperactivity disorder (ADHD), the causality of this relationship remains unclear.</jats:p>
              </jats:sec><jats:sec>
                <jats:title>Methods</jats:title>
                <jats:p>We conducted a bidirectional two-sample Mendelian Randomization (MR) study to examine whether 25(OH)D has an effect on the risk to develop ADHD or vice versa. Information on single nucleotide polymorphisms (SNP) associated with serum 25(OH)D was obtained from a genome-wide association study (GWAS) considering phenotype data from 79,366 individuals of European ancestry. Data on risk for ADHD were derived from a GWAS analysis with 20,183 individuals diagnosed with ADHD and 35,191 controls. For our analysis, we considered effect sizes based on the European participants (19,099 cases and 34,194 controls).</jats:p>
              </jats:sec><jats:sec>
                <jats:title>Results</jats:title>
                <jats:p>Single SNP analyses showed a causal effect of vitamin D on ADHD risk for only one SNP (rs12785878, <jats:italic>p</jats:italic> = 0.024). The overall MR estimates did not reveal a causal effect of 25(OH)D on risk for ADHD. In the reverse analysis, neither any single nor the multi-SNP MR analyses showed a causal effect of ADHD on 25(OH)D.</jats:p>
              </jats:sec><jats:sec>
                <jats:title>Conclusion</jats:title>
                <jats:p>Results from this two-sample MR study did not confirm a causal effect of 25(OH)D on ADHD or vice versa. Accordingly, our study does not provide evidence that improving 25(OH)D via supplementation could reduce the risk of developing ADHD.</jats:p>
              </jats:sec>}},
  author       = {{Libuda, Lars and Naaresh, Roaa and Ludwig, Christine and Laabs, Björn-Hergen and Antel, Jochen and Föcker, Manuel and Hebebrand, Johannes and Hinney, Anke and Peters, Triinu}},
  issn         = {{1436-6207}},
  journal      = {{European Journal of Nutrition}},
  pages        = {{2581--2591}},
  title        = {{{A mendelian randomization study on causal effects of 25(OH)vitamin D levels on attention deficit/hyperactivity disorder}}},
  doi          = {{10.1007/s00394-020-02439-2}},
  year         = {{2020}},
}

@article{26529,
  abstract     = {{<jats:title>Abstract</jats:title><jats:sec>
                <jats:title>Purpose</jats:title>
                <jats:p>The influences of nutrition in childhood on puberty onset could have sustained consequences for health and wellbeing later in life. The aim of this study was to investigate the prospective association of diet quality prior to puberty with the timing of puberty onset.</jats:p>
              </jats:sec><jats:sec>
                <jats:title>Methods</jats:title>
                <jats:p>We considered data from 3983 SCCNG (Southwest China Childhood Nutrition and Growth) study participants with dietary data, anthropometric measurement, and information on potential confounders at their baseline assessment (mean age: 7.1 years for girls and 7.3 years for boys; mean length of follow-up was 4.2 years). Cox proportional hazard regression estimating hazard ratios (HRs) and 95% confidence intervals (CIs) were used to examine the relationship between diet quality and puberty onset. Dietary intake at baseline was assessed using a validated food frequency questionnaire. Diet quality was determined using the Chinese Children Dietary Index (CCDI) which measures adherence to current dietary recommendations (theoretical range: 0–160 points). Age at Tanner stage 2 for breast/genital development (B2/G2), menarche or voice break (M/VB) were used as pubertal markers.
</jats:p>
              </jats:sec><jats:sec>
                <jats:title>Results</jats:title>
                <jats:p>The CCDI score ranged from 56.2 to 136.3 for girls and 46.1–131.5 for boys. Pubertal markers consistently indicate that girls and boys with higher diet quality were more likely to enter their puberty later than their counterparts with lower CCDI scores (higher vs. lower CCDI tertiles: adjusted HR for age at B2: 0.85 (95% CI, 0.81–0.94), <jats:italic>p</jats:italic> for trend = 0.02; G2: 0.86 (95% CI,0.80–0.96), <jats:italic>p</jats:italic> for trend = 0.02; M: 0.86 (95% CI,0.80–0.95), <jats:italic>p</jats:italic> for trend = 0.02; VB: 0.86 (95% CI,0.79–0.98), <jats:italic>p</jats:italic> for trend = 0.03), after adjustment for paternal education level, baseline energy intake, and pre-pubertal body fat.</jats:p>
              </jats:sec><jats:sec>
                <jats:title>Conclusions</jats:title>
                <jats:p>Our data suggested a later puberty onset and later timing of progressed puberty stages in children with a high diet quality, which were independent of pre-pubertal body fat.</jats:p>
              </jats:sec>}},
  author       = {{Duan, Ruonan and Qiao, Tian and Chen, Yue and Chen, Mengxue and Xue, Hongmei and Zhou, Xue and Yang, Mingzhe and Liu, Yan and Zhao, Li and Libuda, Lars and Cheng, Guo}},
  issn         = {{1436-6207}},
  journal      = {{European Journal of Nutrition}},
  pages        = {{2423--2434}},
  title        = {{{The overall diet quality in childhood is prospectively associated with the timing of puberty}}},
  doi          = {{10.1007/s00394-020-02425-8}},
  year         = {{2020}},
}

@article{27022,
  abstract     = {{<jats:title>Abstract</jats:title><jats:sec>
<jats:title>Purpose</jats:title>
<jats:p>While observational studies revealed inverse associations between serum vitamin D levels [25(OH)D] and depression, randomized controlled trials (RCT) in children and adolescents are lacking. This RCT examined the effect of an untreated vitamin D deficiency compared to an immediate vitamin D<jats:sub>3</jats:sub> supplementation on depression scores in children and adolescents during standard day and in-patient psychiatric treatment.</jats:p>
</jats:sec><jats:sec>
<jats:title>Methods</jats:title>
<jats:p>Patients with vitamin D deficiency [25(OH)D ≤ 30 nmol/l] and at least mild depression [Beck Depression Inventory II (BDI-II) &gt; 13] (<jats:italic>n</jats:italic> = 113) were 1:1 randomized into verum (VG; 2640 IU vitamin D<jats:sub>3</jats:sub>/d) or placebo group (PG) in a double-blind manner. During the intervention period of 28 days, both groups additionally received treatment as usual. BDI-II scores were assessed as primary outcome, DISYPS-II (Diagnostic System for Mental Disorders in Childhood and Adolescence, Self- and Parent Rating) and serum total 25(OH)D were secondary outcomes.</jats:p>
</jats:sec><jats:sec>
<jats:title>Results</jats:title>
<jats:p>At admission, 49.3% of the screened patients (<jats:italic>n</jats:italic> = 280) had vitamin D deficiency. Although the intervention led to a higher increase of 25(OH)D levels in the VG than in the PG (treatment difference: + 14 ng/ml; 95% CI 4.86–23.77; <jats:italic>p</jats:italic> = 0.003), the change in BDI-II scores did not differ (+ 1.3; 95% CI − 2.22 to 4.81; <jats:italic>p</jats:italic> = 0.466). In contrast, DISYPS parental ratings revealed pronounced improvements of depressive symptoms in the VG (− 0.68; 95% CI − 1.23 to − 0.13; <jats:italic>p</jats:italic> = 0.016).</jats:p>
</jats:sec><jats:sec>
<jats:title>Conclusion</jats:title>
<jats:p>Whereas this study failed to show a vitamin D supplementation effect on self-rated depression in adolescent in- or daycare patients, parents reported less depressive symptoms in VG at the end of our study. Future trials should consider clinician-rated depressive symptoms as primary outcome.</jats:p>
</jats:sec><jats:sec>
<jats:title>Trial registration</jats:title>
<jats:p>“German Clinical Trials Register” (<jats:ext-link xmlns:xlink="http://www.w3.org/1999/xlink" ext-link-type="uri" xlink:href="https://www.drks.de">https://www.drks.de</jats:ext-link>), registration number: DRKS00009758</jats:p>
</jats:sec>}},
  author       = {{Libuda, Lars and Timmesfeld, Nina and Antel, Jochen and Hirtz, Raphael and Bauer, Jens and Führer, Dagmar and Zwanziger, Denise and Öztürk, Dana and Langenbach, Gina and Hahn, Denise and Ring, Stefanie and Peters, Triinu and Hinney, Anke and Bühlmeier, Judith and Hebebrand, Johannes and Grasemann, Corinna and Föcker, Manuel}},
  issn         = {{1436-6207}},
  journal      = {{European Journal of Nutrition}},
  pages        = {{3415--3424}},
  title        = {{{Effect of vitamin D deficiency on depressive symptoms in child and adolescent psychiatric patients: results of a randomized controlled trial}}},
  doi          = {{10.1007/s00394-020-02176-6}},
  year         = {{2020}},
}

@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{26928,
  author       = {{Penczynski, Katharina J. and Herder, Christian and Krupp, Danika and Rienks, Johanna and Egert, Sarah and Wudy, Stefan A. and Roden, Michael and Remer, Thomas and Buyken, Anette}},
  issn         = {{1436-6207}},
  journal      = {{European Journal of Nutrition}},
  pages        = {{1159--1172}},
  title        = {{{Flavonoid intake from fruit and vegetables during adolescence is prospectively associated with a favourable risk factor profile for type 2 diabetes in early adulthood}}},
  doi          = {{10.1007/s00394-018-1631-3}},
  year         = {{2018}},
}

@article{27002,
  author       = {{Schwingshackl, Lukas and Buyken, Anette and Chaimani, Anna}},
  issn         = {{1436-6207}},
  journal      = {{European Journal of Nutrition}},
  pages        = {{1--3}},
  title        = {{{Network meta-analysis reaches nutrition research}}},
  doi          = {{10.1007/s00394-018-1849-0}},
  year         = {{2018}},
}

@article{27028,
  author       = {{Libuda, Lars and Hilbig, Annett and Berber-Al-Tawil, Seda and Kalhoff, Hermann and Kersting, Mathilde}},
  issn         = {{1436-6207}},
  journal      = {{European Journal of Nutrition}},
  pages        = {{523--531}},
  title        = {{{Association between full breastfeeding, timing of complementary food introduction, and iron status in infancy in Germany: results of a secondary analysis of a randomized trial}}},
  doi          = {{10.1007/s00394-016-1335-5}},
  year         = {{2018}},
}

@article{27031,
  author       = {{Yang, Ming-zhe and Xue, Hong-mei and Pan, Jay and Libuda, Lars and Muckelbauer, Rebecca and Yang, Min and Quan, Liming and Cheng, Guo}},
  issn         = {{1436-6207}},
  journal      = {{European Journal of Nutrition}},
  pages        = {{1845--1854}},
  title        = {{{High protein intake along with paternal part-time employment is associated with higher body fat mass among girls from South China}}},
  doi          = {{10.1007/s00394-017-1468-1}},
  year         = {{2017}},
}

@article{26925,
  author       = {{Roßbach, Sarah and Diederichs, Tanja and Bolzenius, Katja and Herder, Christian and Buyken, Anette and Alexy, Ute}},
  issn         = {{1436-6207}},
  journal      = {{European Journal of Nutrition}},
  pages        = {{2507--2517}},
  title        = {{{Age and time trends in eating frequency and duration of nightly fasting of German children and adolescents}}},
  doi          = {{10.1007/s00394-016-1286-x}},
  year         = {{2016}},
}

@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{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{27041,
  author       = {{Stimming, Madlen and Mesch, Christina M. and Kersting, Mathilde and Libuda, Lars}},
  issn         = {{1436-6207}},
  journal      = {{European Journal of Nutrition}},
  pages        = {{1069--1080}},
  title        = {{{Fish and rapeseed oil consumption in infants and mothers: dietary habits and determinants in a nationwide sample in Germany}}},
  doi          = {{10.1007/s00394-014-0784-y}},
  year         = {{2014}},
}

@article{27061,
  author       = {{Libuda, Lars and Stimming, Madlen and Mesch, Christina and Warschburger, Petra and Kalhoff, Hermann and Koletzko, Berthold Viktor and Kersting, Mathilde}},
  issn         = {{1436-6207}},
  journal      = {{European Journal of Nutrition}},
  pages        = {{1335--1344}},
  title        = {{{Frequencies and demographic determinants of breastfeeding and DHA supplementation in a nationwide sample of mothers in Germany}}},
  doi          = {{10.1007/s00394-013-0633-4}},
  year         = {{2013}},
}

