@article{45813, abstract = {{A previous follow-up of the GINIplus study showed that breastfeeding could protect against early eczema. However, effects diminished in adolescence, possibly indicating a “rebound effect” in breastfed children after initial protection. We evaluated the role of early eczema until three years of age on allergies until young adulthood and assessed whether early eczema modifies the association between breastfeeding and allergies. Data from GINIplus until 20-years of age (N = 4058) were considered. Information on atopic eczema, asthma, and rhinitis was based on reported physician’s diagnoses. Adjusted Odds Ratios (aOR) were modelled by using generalized estimating equations. Early eczema was associated with eczema (aORs = 3.2–14.4), asthma (aORs = 2.2–2.7), and rhinitis (aORs = 1.2–2.7) until young adulthood. For eczema, this association decreased with age (p-for-interaction = 0.002–0.006). Longitudinal models did not show associations between breastfeeding and the respective allergies from 5 to 20 years of age. Moreover, early eczema generally did not modify the association between milk feeding and allergies except for rhinitis in participants without family history of atopy. Early eczema strongly predicts allergies until young adulthood. While preventive effects of full breastfeeding on eczema in infants with family history of atopy does not persist until young adulthood, the hypothesis of a rebound effect after initial protection cannot be confirmed.}}, author = {{Libuda, Lars and Filipiak-Pittroff, Birgit and Standl, Marie and Schikowski, Tamara and von Berg, Andrea and Koletzko, Sibylle and Bauer, Carl-Peter and Heinrich, Joachim and Berdel, Dietrich and Gappa, Monika}}, issn = {{2072-6643}}, journal = {{Nutrients}}, keywords = {{Food Science, Nutrition and Dietetics}}, number = {{12}}, publisher = {{MDPI AG}}, title = {{{Full Breastfeeding and Allergic Diseases—Long-Term Protection or Rebound Effects?}}}, doi = {{10.3390/nu15122780}}, volume = {{15}}, year = {{2023}}, } @article{27970, author = {{Barclay, AW and LSA, Augustin and Brighenti, F and Delport, E and Henry, CJ and Sievenpiper, JL and Usic, K and Yuexin, Y and Zurbau, A and TMS, Wolever and Astrup, A and Bulló, M and Buyken, Anette and Ceriello, A and Ellis, PR and Vanginkel, MA and CWC, Kendall and La Vecchia, C and Livesey, G and Poli, A and Riccardi, G and Salas-Salvadó, J and Trichopoulou, A and Bhaskaran, K and DJA, Jenkins and Willett, WC and Brand-Miller, JC}}, issn = {{2072-6643}}, journal = {{Nutrients}}, number = {{9}}, title = {{{Dietary Glycaemic Index Labelling: A Global Perspective.}}}, doi = {{10.3390/nu13093244}}, volume = {{13}}, year = {{2021}}, } @article{27571, abstract = {{(1) Background: Evidence has accumulated that patients with anorexia nervosa (AN) are at higher risk for vitamin D deficiency than healthy controls. In epidemiologic studies, low 25(OH) vitamin D (25(OH)D) levels were associated with depression. This study analyzed the relationship between 25(OH)D serum levels in adolescent patients and AN and depressive symptoms over the course of treatment. (2) Methods: 25(OH)D levels and depressive symptoms were analyzed in 93 adolescent (in-)patients with AN from the Anorexia Nervosa Day patient versus Inpatient (ANDI) multicenter trial at clinic admission, discharge, and 1 year follow up. Mixed regression models were used to analyze the relationship between 25(OH)D levels and depressive symptoms assessed by the Beck Depression Inventory (BDI-II). (3) Results: Although mean 25(OH)D levels constantly remained in recommended ranges (≥50 nmol/L) during AN treatment, levels decreased from (in)patient admission to 1 year follow up. Levels of 25(OH)D were neither cross-sectionally, prospectively, nor longitudinally associated with the BDI-II score. (4) Conclusions: This study did not confirm that 25(OH)D levels are associated with depressive symptoms in patients with AN. However, increasing risks of vitamin D deficiency over the course of AN treatment indicate that clinicians should monitor 25(OH)D levels.}}, author = {{Föcker, Manuel and Timmesfeld, Nina and Bühlmeier, Judith and Zwanziger, Denise and Führer, Dagmar and Grasemann, Corinna and Ehrlich, Stefan and Egberts, Karin and Fleischhaker, Christian and Wewetzer, Christoph and Wessing, Ida and Seitz, Jochen and Herpertz-Dahlmann, Beate and Hebebrand, Johannes and Libuda, Lars}}, issn = {{2072-6643}}, journal = {{Nutrients}}, title = {{{Vitamin D Level Trajectories of Adolescent Patients with Anorexia Nervosa at Inpatient Admission, during Treatment, and at One Year Follow Up: Association with Depressive Symptoms}}}, doi = {{10.3390/nu13072356}}, year = {{2021}}, } @article{27799, abstract = {{Dietary fibre is a generic term describing non-absorbed plant carbohydrates and small amounts of associated non-carbohydrate components. The main contributors of fibre to the diet are the cell walls of plant tissues, which are supramolecular polymer networks containing variable proportions of cellulose, hemicelluloses, pectic substances, and non-carbohydrate components, such as lignin. Other contributors of fibre are the intracellular storage oligosaccharides, such as fructans. A distinction needs to be made between intrinsic sources of dietary fibre and purified forms of fibre, given that the three-dimensional matrix of the plant cell wall confers benefits beyond fibre isolates. Movement through the digestive tract modifies the cell wall structure and may affect the interactions with the colonic microbes (e.g., small intestinally non-absorbed carbohydrates are broken down by bacteria to short-chain fatty acids, absorbed by colonocytes). These aspects, combined with the fibre associated components (e.g., micronutrients, polyphenols, phytosterols, and phytoestrogens), may contribute to the health outcomes seen with the consumption of dietary fibre. Therefore, where possible, processing should minimise the degradation of the plant cell wall structures to preserve some of its benefits. Food labelling should include dietary fibre values and distinguish between intrinsic and added fibre. Labelling may also help achieve the recommended intake of 14 g/1000 kcal/day.}}, author = {{Augustin, Livia S. A. and Aas, Anne-Marie and Astrup, Arnie and Atkinson, Fiona S. and Baer-Sinnott, Sara and Barclay, Alan W. and Brand-Miller, Jennie C. and Brighenti, Furio and Bullo, Monica and Buyken, Anette and Ceriello, Antonio and Ellis, Peter R. and Ha, Marie-Ann and Henry, Jeyakumar C. and Kendall, Cyril W. C. and La Vecchia, Carlo and Liu, Simin and Livesey, Geoffrey and Poli, Andrea and Salas-Salvadó, Jordi and Riccardi, Gabriele and Riserus, Ulf and Rizkalla, Salwa W. and Sievenpiper, John L. and Trichopoulou, Antonia and Usic, Kathy and Wolever, Thomas M. S. and Willett, Walter C. and Jenkins, David J. A.}}, issn = {{2072-6643}}, journal = {{Nutrients}}, title = {{{Dietary Fibre Consensus from the International Carbohydrate Quality Consortium (ICQC)}}}, doi = {{10.3390/nu12092553}}, year = {{2020}}, } @article{27807, abstract = {{There is no question that elevated postprandial glycemia is a significant driver of common chronic diseases globally [...]}}, author = {{Brand-Miller, Jennie and Buyken, Anette}}, issn = {{2072-6643}}, journal = {{Nutrients}}, title = {{{The Relationship between Glycemic Index and Health}}}, doi = {{10.3390/nu12020536}}, year = {{2020}}, } @article{27006, abstract = {{Trend analyses suggest that free sugar (FS) intake—while still exceeding 10%E—has decreased among German children and adolescents since 2005, yet that intakes may shift from sugars naturally occurring in foods to added sugars as children age. Thus, we analysed time and age trends in FS intake (%E) from food groups among 3–18 year-olds (1985–2016) using 10,761 3-day dietary records from 1312 DONALD participants (660 boys, 652 girls) by use of polynomial mixed-effects regression models. Among girls, FS from sugar & sweets decreased from 1985 to 2016 (linear trend p < 0.0001), but not among boys (p > 0.05). In the total sample, FS intake from juices increased until 2000 and decreased since 2005 (linear, quadratic trend p < 0.0001). FS from sugar sweetened beverages (SSB) decreased non-linearly from 1985 to 2016 (girls: linear, quadratic, cubic trend p < 0.0001; boys: linear, quadratic, cubic trend p < 0.02). Younger children consumed more FS from juices than older ones, who had a higher FS intake from SSB. FS intake from sugar & sweets increased until early adolescence and decreased afterwards. Since sugar & sweets represent the main source of FS intake and the source with the least pronounced decline in intake, public health measures should focus on these products.}}, author = {{Perrar, Ines and Schadow, Alena M. and Schmitting, Sarah and Buyken, Anette and Alexy, Ute}}, issn = {{2072-6643}}, journal = {{Nutrients}}, title = {{{Time and Age Trends in Free Sugar Intake from Food Groups among Children and Adolescents between 1985 and 2016}}}, doi = {{10.3390/nu12010020}}, year = {{2019}}, } @article{27758, abstract = {{Published meta-analyses indicate significant but inconsistent incident type-2 diabetes (T2D)-dietary glycemic index (GI) and glycemic load (GL) risk ratios or risk relations (RR). It is now over a decade ago that a published meta-analysis used a predefined standard to identify valid studies. Considering valid studies only, and using random effects dose–response meta-analysis (DRM) while withdrawing spurious results (p < 0.05), we ascertained whether these relations would support nutrition guidance, specifically for an RR > 1.20 with a lower 95% confidence limit >1.10 across typical intakes (approximately 10th to 90th percentiles of population intakes). The combined T2D–GI RR was 1.27 (1.15–1.40) (p < 0.001, n = 10 studies) per 10 units GI, while that for the T2D–GL RR was 1.26 (1.15–1.37) (p < 0.001, n = 15) per 80 g/d GL in a 2000 kcal (8400 kJ) diet. The corresponding global DRM using restricted cubic splines were 1.87 (1.56–2.25) (p < 0.001, n = 10) and 1.89 (1.66–2.16) (p < 0.001, n = 15) from 47.6 to 76.1 units GI and 73 to 257 g/d GL in a 2000 kcal diet, respectively. In conclusion, among adults initially in good health, diets higher in GI or GL were robustly associated with incident T2D. Together with mechanistic and other data, this supports that consideration should be given to these dietary risk factors in nutrition advice. Concerning the public health relevance at the global level, our evidence indicates that GI and GL are substantial food markers predicting the development of T2D worldwide, for persons of European ancestry and of East Asian ancestry.}}, author = {{Livesey, Geoffrey and Taylor, Richard and Livesey, Helen F. and Buyken, Anette and Jenkins, David J. A. and Augustin, Livia S. A. and Sievenpiper, John L. and Barclay, Alan W. and Liu, Simin and Wolever, Thomas M. S. and Willett, Walter C. and Brighenti, Furio and Salas-Salvadó, Jordi and Björck, Inger and Rizkalla, Salwa W. and Riccardi, Gabriele and Vecchia, Carlo La and Ceriello, Antonio and Trichopoulou, Antonia and Poli, Andrea and Astrup, Arne and Kendall, Cyril W. C. and Ha, Marie-Ann and Baer-Sinnott, Sara and Brand-Miller, Jennie C.}}, issn = {{2072-6643}}, journal = {{Nutrients}}, title = {{{Dietary Glycemic Index and Load and the Risk of Type 2 Diabetes: A Systematic Review and Updated Meta-Analyses of Prospective Cohort Studies}}}, doi = {{10.3390/nu11061280}}, year = {{2019}}, } @article{27759, abstract = {{While dietary factors are important modifiable risk factors for type 2 diabetes (T2D), the causal role of carbohydrate quality in nutrition remains controversial. Dietary glycemic index (GI) and glycemic load (GL) have been examined in relation to the risk of T2D in multiple prospective cohort studies. Previous meta-analyses indicate significant relations but consideration of causality has been minimal. Here, the results of our recent meta-analyses of prospective cohort studies of 4 to 26-y follow-up are interpreted in the context of the nine Bradford-Hill criteria for causality, that is: (1) Strength of Association, (2) Consistency, (3) Specificity, (4) Temporality, (5) Biological Gradient, (6) Plausibility, (7) Experimental evidence, (8) Analogy, and (9) Coherence. These criteria necessitated referral to a body of literature wider than prospective cohort studies alone, especially in criteria 6 to 9. In this analysis, all nine of the Hill’s criteria were met for GI and GL indicating that we can be confident of a role for GI and GL as causal factors contributing to incident T2D. In addition, neither dietary fiber nor cereal fiber nor wholegrain were found to be reliable or effective surrogate measures of GI or GL. Finally, our cost–benefit analysis suggests food and nutrition advice favors lower GI or GL and would produce significant potential cost savings in national healthcare budgets. The high confidence in causal associations for incident T2D is sufficient to consider inclusion of GI and GL in food and nutrient-based recommendations.}}, author = {{Livesey, Geoffrey and Taylor, Richard and Livesey, Helen F. and Buyken, Anette and Jenkins, David J. A. and Augustin, Livia S. A. and Sievenpiper, John L. and Barclay, Alan W. and Liu, Simin and Wolever, Thomas M. S. and Willett, Walter C. and Brighenti, Furio and Salas-Salvadó, Jordi and Björck, Inger and Rizkalla, Salwa W. and Riccardi, Gabriele and Vecchia, Carlo La and Ceriello, Antonio and Trichopoulou, Antonia and Poli, Andrea and Astrup, Arne and Kendall, Cyril W. C. and Ha, Marie-Ann and Baer-Sinnott, Sara and Brand-Miller, Jennie C.}}, issn = {{2072-6643}}, journal = {{Nutrients}}, title = {{{Dietary Glycemic Index and Load and the Risk of Type 2 Diabetes: Assessment of Causal Relations}}}, doi = {{10.3390/nu11061436}}, year = {{2019}}, } @article{27026, abstract = {{While observational studies show an association between 25(OH)vitamin D concentrations and depressive symptoms, intervention studies, which examine the preventive effects of vitamin D supplementation on the development of depression, are lacking. To estimate the role of lowered 25(OH)vitamin D concentrations in the etiology of depressive disorders, we conducted a two-sample Mendelian randomization (MR) study on depression, i.e., “depressive symptoms” (DS, n = 161,460) and “broad depression” (BD, n = 113,769 cases and 208,811 controls). Six single nucleotide polymorphisms (SNPs), which were genome-wide significantly associated with 25(OH)vitamin D concentrations in 79,366 subjects from the SUNLIGHT genome-wide association study (GWAS), were used as an instrumental variable. None of the six SNPs was associated with DS or BD (all p > 0.05). MR analysis revealed no causal effects of 25(OH)vitamin D concentration, either on DS (inverse variance weighted (IVW); b = 0.025, SE = 0.038, p = 0.52) or on BD (IVW; b = 0.020, SE = 0.012, p = 0.10). Sensitivity analyses confirmed that 25(OH)vitamin D concentrations were not significantly associated with DS or BD. The findings from this MR study indicate no causal relationship between vitamin D concentrations and depressive symptoms, or broad depression. Conflicting findings from observational studies might have resulted from residual confounding or reverse causation.}}, author = {{Libuda, Lars and Laabs, Björn-Hergen and Ludwig, Christine and Bühlmeier, Judith and Antel, Jochen and Hinney, Anke and Naaresh, Roaa and Föcker, Manuel and Hebebrand, Johannes and König, Inke R. and Peters, Triinu}}, issn = {{2072-6643}}, journal = {{Nutrients}}, title = {{{Vitamin D and the Risk of Depression: A Causal Relationship? Findings from a Mendelian Randomization Study}}}, doi = {{10.3390/nu11051085}}, year = {{2019}}, } @article{27981, author = {{Weber, KS and Simon, MC and Strassburger, K and Markgraf, DF and Buyken, Anette and Szendroedi, J and Müssig, K and Roden, M and Group, GDS}}, issn = {{2072-6643}}, journal = {{Nutrients}}, number = {{6}}, title = {{{Habitual Fructose Intake Relates to Insulin Sensitivity and Fatty Liver Index in Recent-Onset Type 2 Diabetes Patients and Individuals without Diabetes.}}}, doi = {{10.3390/nu10060774}}, volume = {{10}}, year = {{2018}}, } @article{26999, author = {{Della Corte, Karen and Perrar, Ines and Penczynski, Katharina and Schwingshackl, Lukas and Herder, Christian and Buyken, Anette}}, issn = {{2072-6643}}, journal = {{Nutrients}}, title = {{{Effect of Dietary Sugar Intake on Biomarkers of Subclinical Inflammation: A Systematic Review and Meta-Analysis of Intervention Studies}}}, doi = {{10.3390/nu10050606}}, year = {{2018}}, } @article{27001, abstract = {{This study performed comparative analyses in two pediatric cohorts to identify dietary patterns during primary school years and examined their relevance to body composition development. Nutritional and anthropometric data at the beginning of primary school and two or four years later were available from 298 and 372 participants of IDEFICS-Germany (Identification and prevention of Dietary-induced and lifestyle-induced health Effects In Children and infants Study) and the KOPS (Kiel Obesity Prevention Study) cohort, respectively. Principal component analyses (PCA) and reduced rank regression (RRR) were used to identify dietary patterns at baseline and patterns of change in food group intake during primary school years. RRR extracted patterns explaining variations in changes in body mass index (BMI), fat mass index (FMI), and waist-to-height-ratio (WtHR). Associations between pattern adherence and excess gain in BMI, FMI, or WtHR (>75th percentile) during primary school years were examined using logistic regression. Among PCA patterns, only a change towards a more Mediterranean food choice during primary school years were associated with a favorable body composition development in IDEFICS-Germany (p < 0.05). In KOPS, RRR patterns characterized by a frequent consumption of fast foods or starchy carbohydrate foods were consistently associated with an excess gain in BMI and WtHR (all p < 0.005). In IDEFICS-Germany, excess gain in BMI, FMI, and WtHR were predicted by a frequent consumption of nuts, meat, and pizza at baseline and a decrease in the consumption frequency of protein sources and snack carbohydrates during primary school years (all p < 0.01). The study confirms an adverse impact of fast food consumption on body composition during primary school years. Combinations of protein and carbohydrate sources deserve further investigation.}}, author = {{Wolters, Maike and Joslowski, Gesa and Plachta-Danielzik, Sandra and Standl, Marie and Müller, Manfred and Ahrens, Wolfgang and Buyken, Anette}}, issn = {{2072-6643}}, journal = {{Nutrients}}, title = {{{Dietary Patterns in Primary School are of Prospective Relevance for the Development of Body Composition in Two German Pediatric Populations}}}, doi = {{10.3390/nu10101442}}, year = {{2018}}, } @article{27740, author = {{Penczynski, Katharina and Remer, Thomas and Herder, Christian and Kalhoff, Hermann and Rienks, Johanna and Markgraf, Daniel and Roden, Michael and Buyken, Anette}}, issn = {{2072-6643}}, journal = {{Nutrients}}, title = {{{Habitual Flavonoid Intake from Fruit and Vegetables during Adolescence and Serum Lipid Levels in Early Adulthood: A Prospective Analysis}}}, doi = {{10.3390/nu10040488}}, year = {{2018}}, } @article{27027, author = {{Bühlmeier, Judith and Harris, Carla and Koletzko, Sibylle and Lehmann, Irina and Bauer, Carl-Peter and Schikowski, Tamara and von Berg, Andrea and Berdel, Dietrich and Heinrich, Joachim and Hebebrand, Johannes and Föcker, Manuel and Standl, Marie and Libuda, Lars}}, issn = {{2072-6643}}, journal = {{Nutrients}}, title = {{{Dietary Acid Load and Mental Health Outcomes in Children and Adolescents: Results from the GINIplus and LISA Birth Cohort Studies}}}, doi = {{10.3390/nu10050582}}, year = {{2018}}, } @article{26927, author = {{Diederichs, Tanja and Herder, C and Roßbach, S and Roden, M and Wudy, SA and Nöthlings, U and Alexy, U and Buyken, Anette}}, issn = {{2072-6643}}, journal = {{Nutrients}}, number = {{6}}, title = {{{Carbohydrates from Sources with a Higher Glycemic Index during Adolescence: Is Evening Rather than Morning Intake Relevant for Risk Markers of Type 2 Diabetes in Young Adulthood?}}}, doi = {{10.3390/nu9060591}}, volume = {{9}}, year = {{2017}}, } @article{27754, author = {{Harris, Carla and Buyken, Anette and Koletzko, Sibylle and von Berg, Andrea and Berdel, Dietrich and Schikowski, Tamara and Koletzko, Berthold and Heinrich, Joachim and Standl, Marie}}, issn = {{2072-6643}}, journal = {{Nutrients}}, title = {{{Dietary Fatty Acids and Changes in Blood Lipids during Adolescence: The Role of Substituting Nutrient Intakes}}}, doi = {{10.3390/nu9020127}}, year = {{2017}}, } @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{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}}, }