@article{27733, author = {{Günther, Anke L. B. and Walz, Helena and Kroke, Anja and Wudy, Stefan A. and Riedel, Christina and von Kries, Rüdiger and Joslowski, Gesa and Remer, Thomas and Cheng, Guo and Buyken, Anette}}, issn = {{1932-6203}}, journal = {{PLoS ONE}}, title = {{{Breastfeeding and Its Prospective Association with Components of the GH-IGF-Axis, Insulin Resistance and Body Adiposity Measures in Young Adulthood – Insights from Linear and Quantile Regression Analysis}}}, doi = {{10.1371/journal.pone.0079436}}, year = {{2013}}, } @article{27972, author = {{Buyken, Anette and Alexy, U and Kersting, M and Remer, T}}, issn = {{1436-9990}}, journal = {{Bundesgesundheitsblatt Gesundheitsforschung Gesundheitsschutz}}, number = {{6-7}}, pages = {{875--884}}, title = {{{[The DONALD cohort. An updated overview on 25 years of research based on the Dortmund Nutritional and Anthropometric Longitudinally Designed study].}}}, doi = {{10.1007/s00103-012-1503-6}}, volume = {{55}}, year = {{2012}}, } @article{27983, author = {{Labayen, I and Ruiz, JR and Ortega, FB and Gottrand, F and Huybrechts, I and Dallongeville, J and Widhalm, K and Ferrari, M and Buyken, Anette and Kersting, M and Moschonis, G and Turck, D and Gómez, S and Sjostrom, M and Meirhaeghe, A and Moreno, LA}}, issn = {{0007-1145}}, journal = {{Br J Nutr}}, number = {{10}}, pages = {{1498--1504}}, title = {{{Body size at birth modifies the effect of fat mass and obesity associated (FTO) rs9939609 polymorphism on adiposity in adolescents: the Healthy Lifestyle in Europe by Nutrition in Adolescence (HELENA) study.}}}, doi = {{10.1017/s0007114511004600}}, volume = {{107}}, year = {{2012}}, } @article{27986, author = {{Standl, M and Lattka, E and Stach, B and Koletzko, S and Bauer, CP and von Berg, A and Berdel, D and Krämer, U and Schaaf, B and Röder, S and Herbarth, O and Buyken, Anette and Drogies, T and Thiery, J and Koletzko, B and Heinrich, J and Study Group, GINIplus and Study Group, LISAplus}}, issn = {{1932-6203}}, journal = {{PLoS One}}, number = {{5}}, pages = {{e37780}}, title = {{{FADS1 FADS2 gene cluster, PUFA intake and blood lipids in children: results from the GINIplus and LISAplus studies.}}}, doi = {{10.1371/journal.pone.0037780}}, volume = {{7}}, year = {{2012}}, } @article{26907, author = {{Krupp, Danika and Johner, Simone A. and Kalhoff, Hermann and Buyken, Anette and Remer, Thomas}}, issn = {{0022-3166}}, journal = {{The Journal of Nutrition}}, pages = {{313--319}}, title = {{{Long-Term Dietary Potential Renal Acid Load During Adolescence Is Prospectively Associated with Indices of Nonalcoholic Fatty Liver Disease in Young Women}}}, doi = {{10.3945/jn.111.150540}}, year = {{2012}}, } @article{26909, author = {{Louie, Jimmy Chun Yu and Buyken, Anette and Brand-Miller, Jennie C and Flood, Victoria M}}, issn = {{0002-9165}}, journal = {{The American Journal of Clinical Nutrition}}, pages = {{694--702}}, title = {{{The link between dietary glycemic index and nutrient adequacy}}}, doi = {{10.3945/ajcn.111.015271}}, year = {{2012}}, } @article{27730, author = {{Hauner, Hans and Bechthold, Angela and Boeing, Heiner and Brönstrup, Anja and Buyken, Anette and Leschik-Bonnet, Eva and Linseisen, Jakob and Schulze, Matthias and Strohm, Daniela and Wolfram, Günther}}, issn = {{1421-9697}}, journal = {{Annals of Nutrition and Metabolism}}, pages = {{1--58}}, title = {{{Evidence-Based Guideline of the German Nutrition Society: Carbohydrate Intake and Prevention of Nutrition-Related Diseases}}}, doi = {{10.1159/000335326}}, year = {{2012}}, } @article{27731, author = {{Kühn, Tilman and Kroke, Anja and Remer, Thomas and Schönau, Eckhard and Buyken, Anette}}, issn = {{1740-8695}}, journal = {{Maternal & Child Nutrition}}, pages = {{642--649}}, title = {{{Is breastfeeding related to bone properties? A longitudinal analysis of associations between breastfeeding duration and pQCT parameters in children and adolescents}}}, doi = {{10.1111/j.1740-8709.2012.00443.x}}, year = {{2012}}, } @article{27753, author = {{Joslowski, G and Goletzke, J and Cheng, G and Günther, A L B and Bao, J and Brand-Miller, J C and Buyken, Anette}}, issn = {{0307-0565}}, journal = {{International Journal of Obesity}}, pages = {{1463--1471}}, title = {{{Prospective associations of dietary insulin demand, glycemic index, and glycemic load during puberty with body composition in young adulthood}}}, doi = {{10.1038/ijo.2011.241}}, year = {{2012}}, } @article{27766, author = {{Buyken, Anette and Alexy, U. and Kersting, M. and Remer, T.}}, issn = {{1436-9990}}, journal = {{Bundesgesundheitsblatt - Gesundheitsforschung - Gesundheitsschutz}}, pages = {{875--884}}, title = {{{Die DONALD Kohorte}}}, doi = {{10.1007/s00103-012-1503-6}}, year = {{2012}}, } @article{27767, author = {{von Kries, R. and Reulen, H. and Bayer, O. and Riedel, C. and Diethelm, K. and Buyken, Anette}}, issn = {{2047-6302}}, journal = {{Pediatric Obesity}}, pages = {{13--20}}, title = {{{Increase in prevalence of adiposity between the ages of 7 and 11 years reflects lower remission rates during this period}}}, doi = {{10.1111/j.2047-6310.2012.00084.x}}, year = {{2012}}, } @article{27786, author = {{Hauner, H. and Bechthold, A. and Boeing, H. and Brönstrup, A. and Buyken, Anette and Leschik-Bonnet, E. and Linseisen, J. and Schulze, M. and Strohm, D. and Wolfram, G.}}, issn = {{0012-0472}}, journal = {{DMW - Deutsche Medizinische Wochenschrift}}, pages = {{389--393}}, title = {{{Kohlenhydratzufuhr und Prävention ausgewählter ernährungsmitbedingter Krankheiten}}}, doi = {{10.1055/s-0031-1298916}}, year = {{2012}}, } @article{27787, author = {{Cheng, Guo and Buyken, Anette and Shi, Lijie and Karaolis-Danckert, Nadina and Kroke, Anja and Wudy, Stefan A and Degen, Gisela H and Remer, Thomas}}, issn = {{0029-6643}}, journal = {{Nutrition Reviews}}, pages = {{133--152}}, title = {{{Beyond overweight: nutrition as an important lifestyle factor influencing timing of puberty}}}, doi = {{10.1111/j.1753-4887.2011.00461.x}}, year = {{2012}}, } @article{26904, author = {{Herbst, Antje and Diethelm, Katharina and Cheng, Guo and Alexy, Ute and Icks, Andrea and Buyken, Anette}}, issn = {{0022-3166}}, journal = {{The Journal of Nutrition}}, pages = {{1348--1354}}, title = {{{Direction of Associations between Added Sugar Intake in Early Childhood and Body Mass Index at Age 7 Years May Depend on Intake Levels}}}, doi = {{10.3945/jn.110.137000}}, year = {{2011}}, } @article{26906, abstract = {{AbstractObjectiveNutrition-related health problems such as obesity are frequent among children and adolescents of Turkish descent living in Germany, yet data on their dietary habits are scarce. One reason might be the lack of validated assessment tools for this target group. We therefore aimed to validate protein and K intakes from one 24 h recall against levels estimated from one 24 h urine sample in children and adolescents of Turkish descent living in Germany.DesignCross-sectional analyses comprised estimation of mean differences, Pearson correlation coefficients, cross-classifications and Bland–Altman plots to assess the agreement between the nutritional intake estimated from a single 24 h recall and a single 24 h urine sample collected on the previous day.SettingDortmund, Germany.SubjectsData from forty-three study participants (aged 5–18 years; 26 % overweight) with a traditional Turkish background were included.ResultsThe 24 h recall significantly overestimated mean protein and K intake by 10·7 g/d (95 % CI of mean difference: 0·6, 20·7 g/d) and 344 mg/d (95 % CI 8, 680 mg/d), respectively. Correlations between intake estimates were r = 0·25 (P = 0·1) and 0·31 (P = 0·05). Both methods classified 70 % and 69 % of the participants into the same/adjacent quartile of protein and K intake and misclassified 7 % and 7 %, respectively, into the opposite quartile. Bland–Altman plots indicated a wide scattering of differences in both protein and K intake.ConclusionsAmong children and adolescents of traditional Turkish descent living in Germany, one 24 h recall may only be valid for categorizing subjects into high, medium or low consumers.}}, author = {{Bokhof, Beate and Buyken, Anette and Doğan, Canan and Karaboğa, Arzu and Kaiser, Josa and Sonntag, Antje and Kroke, Anja}}, issn = {{1368-9800}}, journal = {{Public Health Nutrition}}, pages = {{640--647}}, title = {{{Validation of protein and potassium intakes assessed from 24 h recalls against levels estimated from 24 h urine samples in children and adolescents of Turkish descent living in Germany: results from the EVET! Study}}}, doi = {{10.1017/s1368980011002734}}, year = {{2011}}, } @article{27010, author = {{Diethelm, Katharina and Remer, Thomas and Jilani, Hannah and Kunz, Clemens and Buyken, Anette}}, issn = {{0261-5614}}, journal = {{Clinical Nutrition}}, pages = {{640--646}}, title = {{{Associations between the macronutrient composition of the evening meal and average daily sleep duration in early childhood}}}, doi = {{10.1016/j.clnu.2011.05.004}}, year = {{2011}}, } @article{27011, abstract = {{There are no published data regarding the overall dietary glycaemic index (GI) and glycaemic load (GL) of Australian children and adolescents. We therefore aim to describe the dietary GI and GL of participants of the 2007 Australian National Children's Nutrition and Physical Activity Survey (2007ANCNPAS), and to identify the main foods contributing to their GL. Children, aged 2–16 years, who provided two 24 h recalls in the 2007ANCNPAS were included. A final dataset of 4184 participants was analysed. GI of each food item was assigned using a previously published method. GL was calculated, and food groups contributing to the GL were described by age group and sex. The weighted mean dietary GI and GL of the participants were 54 (sd 5) and 136 (sd 44), respectively. Among the nutrients examined, Ca had the highest inverse relationship with GI (P < 0·001), while percentage energy from starch was most positively associated with GI. The association between fibre density and GI was modest, and percentage energy from sugar had an inverse relationship with GI. Daily dietary GL contributed by energy-dense and/or nutrient-poor (EDNP) items in subjects aged 14–16 years was more than doubled that of subjects aged 2–3 years. To conclude, Australian children and adolescents were having a high-GI dietary pattern characterised by high-starchy food intake and low Ca intake. A significant proportion of their dietary GL was from EDNP foods. Efforts to reduce dietary GI and GL in children and adolescents should focus on energy-dense starchy foods.}}, author = {{Chun Yu Louie, Jimmy and Buyken, Anette and Heyer, Kristina and Flood, Victoria M.}}, issn = {{0007-1145}}, journal = {{British Journal of Nutrition}}, pages = {{1273--1282}}, title = {{{Dietary glycaemic index and glycaemic load among Australian children and adolescents}}}, doi = {{10.1017/s0007114511001577}}, year = {{2011}}, } @article{27728, abstract = {{ Context: Whether prepubertal glucocorticoid status impacts on the timing of puberty is not clear. Objective: The objective of the study was to examine the relationship between prepubertal glucocorticoid status and early or late pubertal markers, independent of adrenarchal and nutritional status. Design and Participants: Prospective cohort study of healthy Caucasian children (n = 111, 56 boys) who provided both 24-h urine samples and weighed dietary records 1 and 2 yr before the start of pubertal growth spurt [age at take-off (ATO)]. Measurements: Major urinary glucocorticoid and androgen metabolites determined by gas chromatography-mass spectrometry analysis were summed to assess daily overall cortisol (ΣC21) and adrenal androgen secretion; urinary free cortisol and cortisone measured by RIA were summed (UFF+UFE) as an indicator of potentially bioactive free glucocorticoids. Main Outcomes: The main outcomes included ATO, age at peak height velocity, age at menarche/voice break, ages at Tanner stage 2 for breast (girls) and genital (boys) development, and pubic hair. Results: In girls ΣC21, but not UFF+UFE, was associated with pubertal markers after adjusting for overall adrenal androgen, urinary nitrogen, and body fat. Girls with higher ΣC21 (fourth quartile) reached ATO 0.7 yr (P = 0.01) and menarche 0.9 yr later (P = 0.006) than girls with lower ΣC21 (first quartile). The ΣC21 tended to be also positively associated with age at Tanner stage 2 for breast (P = 0.1), Tanner stage 2 for pubic hair (P = 0.1), and age at peak height velocity (P = 0.06). In boys, neither the ΣC21 nor UFF+UFE was related to pubertal timing. Conclusion: An individually higher prepubertal glucocorticoid secretion level, even in physiological range, appears to delay early and late pubertal timing of healthy girls, particularly their onset of pubertal growth spurt and menarche. }}, author = {{Shi, Lijie and Wudy, Stefan A. and Buyken, Anette and Maser-Gluth, Christiane and Hartmann, Michaela F. and Remer, Thomas}}, issn = {{0021-972X}}, journal = {{The Journal of Clinical Endocrinology & Metabolism}}, pages = {{E891--E898}}, title = {{{Prepubertal Glucocorticoid Status and Pubertal Timing}}}, doi = {{10.1210/jc.2010-2935}}, year = {{2011}}, } @article{27729, author = {{Diethelm, Katharina and Bolzenius, Katja and Cheng, Guo and Remer, Thomas and Buyken, Anette}}, issn = {{1747-7166}}, journal = {{International Journal of Pediatric Obesity}}, pages = {{e114--e123}}, title = {{{Longitudinal associations between reported sleep duration in early childhood and the development of body mass index, fat mass index and fat free mass index until age 7}}}, doi = {{10.3109/17477166.2011.566338}}, year = {{2011}}, } @article{27743, author = {{Gopinath, Bamini and Buyken, Anette and Flood, Victoria M and Empson, Marianne and Rochtchina, Elena and Mitchell, Paul}}, issn = {{0002-9165}}, journal = {{The American Journal of Clinical Nutrition}}, pages = {{1073--1079}}, title = {{{Consumption of polyunsaturated fatty acids, fish, and nuts and risk of inflammatory disease mortality}}}, doi = {{10.3945/ajcn.110.009977}}, year = {{2011}}, }