@article{35311,
  author       = {{Jansen, K and Tempes, J and Drozdowska, A and Gutmann, M and Falkenstein, M and Buyken, Anette and Libuda, Lars and Rudolf, H and Lücke, T and Kersting, M}},
  issn         = {{0954-3007}},
  journal      = {{Eur J Clin Nutr}},
  number       = {{5}},
  pages        = {{779}},
  title        = {{{Correction: Short-term effects of carbohydrates differing in glycemic index (GI) consumed at lunch on children's cognitive function in a randomized crossover study.}}},
  volume       = {{76}},
  year         = {{2022}},
}

@article{35307,
  author       = {{Vinoy, S and Goletzke, J and Rakhshandehroo, M and Schweitzer, L and Flourakis, M and Körner, A and Alexy, U and van Schothorst, EM and Ceriello, A and Zakrzewski-Fruer, JK and Buyken, Anette}},
  issn         = {{1436-6207}},
  journal      = {{Eur J Nutr}},
  title        = {{{Health relevance of lowering postprandial glycaemia in the paediatric population through diet': results from a multistakeholder workshop.}}},
  year         = {{2022}},
}

@article{35754,
  author       = {{Stutz, Bianca and Buyken, Anette and Schadow, A.M. and Jankovic, N. and Alexy, U. and Krueger, B.}},
  issn         = {{0195-6663}},
  journal      = {{Appetite}},
  keywords     = {{Nutrition and Dietetics, General Psychology}},
  publisher    = {{Elsevier BV}},
  title        = {{{Associations of chronotype and social jetlag with eating jetlag and their changes among German students during the first COVID-19 lockdown. The Chronotype and Nutrition study}}},
  doi          = {{10.1016/j.appet.2022.106333}},
  volume       = {{180}},
  year         = {{2022}},
}

@article{35310,
  author       = {{Goletzke, J and Weber, KS and Kössler, T and Zaharia, OP and Bódis, K and Müssig, K and Szendroedi, J and Burkart, V and Stutz, Bianca and Nöthlings, U and Buyken, Anette and Roden, M and Group, GDS}},
  issn         = {{0939-4753}},
  journal      = {{Nutr Metab Cardiovasc Dis}},
  number       = {{10}},
  pages        = {{2310--2320}},
  title        = {{{Relative validity of a glycemic index extended food-frequency questionnaire.}}},
  volume       = {{32}},
  year         = {{2022}},
}

@article{45809,
  abstract     = {{<jats:title>Abstract</jats:title><jats:p>To summarize current knowledge and gaps regarding the role of postprandial glycaemic response in the paediatric population, a workshop was organized in June 2021 by the European branch of the International Life Science Institute (ILSI). This virtual event comprised of talks given by experts followed by in-depth discussions in breakout sessions with workshop participants. The main pre-specified topics addressed by the workshop organizing committee to the invited speakers and the workshop participants were: (1) the role of glycaemic responses for paediatric health, based on mechanistic insights from animal and human data, and long-term evidence from observational and intervention studies in paediatric populations, and (2) changes in metabolism and changes in dietary needs from infancy to adolescence. Each talk as well as the discussions were summarised, including the main identified research gaps. The workshop led to the consensus on the crucial role on health of postprandial glycaemic response in paediatric population. However, a lack of scientific data has been identified regarding detailed glucose and insulin profiles in response to foods commonly consumed by paediatric populations, as well as a lack of long-term evidence including the need for suitable predictors during childhood and adolescence to anticipate health effects during adulthood.
</jats:p>}},
  author       = {{Vinoy, Sophie and Goletzke, Janina and Rakhshandehroo, Maryam and Schweitzer, Lisa and Flourakis, Matthieu and Körner, Antje and Alexy, Ute and van Schothorst, Evert M. and Ceriello, Antonio and Zakrzewski-Fruer, Julia K. and Buyken, Anette}},
  issn         = {{1436-6207}},
  journal      = {{European Journal of Nutrition}},
  keywords     = {{Nutrition and Dietetics, Medicine (miscellaneous)}},
  number       = {{3}},
  pages        = {{1093--1107}},
  publisher    = {{Springer Science and Business Media LLC}},
  title        = {{{Health relevance of lowering postprandial glycaemia in the paediatric population through diet’: results from a multistakeholder workshop}}},
  doi          = {{10.1007/s00394-022-03047-y}},
  volume       = {{62}},
  year         = {{2022}},
}

@article{45808,
  author       = {{Schadow, Alena M. and Revheim, Ingrid and Spielau, Ulrike and Dierkes, Jutta and Schwingshackl, Lukas and Frank, Jan and Hodgson, Jonathan M. and Moreira-Rosário, André and Seal, Chris J. and Buyken, Anette and Rosendahl-Riise, Hanne}},
  issn         = {{2161-8313}},
  journal      = {{Advances in Nutrition}},
  keywords     = {{Nutrition and Dietetics, Medicine (miscellaneous), Food Science}},
  number       = {{1}},
  pages        = {{30--43}},
  publisher    = {{Elsevier BV}},
  title        = {{{The Effect of Regular Consumption of Reformulated Breads on Glycemic Control: A Systematic Review and Meta-Analysis of Randomized Clinical Trials}}},
  doi          = {{10.1016/j.advnut.2022.10.008}},
  volume       = {{14}},
  year         = {{2022}},
}

@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{27007,
  abstract     = {{<jats:title>Abstract</jats:title><jats:sec>
                <jats:title>Purpose</jats:title>
                <jats:p>To examine the association between fructose intake in adolescence and fatty liver indices (hepatic steatosis index (HSI), fatty liver index (FLI)) in young adulthood.</jats:p>
              </jats:sec><jats:sec>
                <jats:title>Methods</jats:title>
                <jats:p>Overall, 246 participants of the Dortmund Nutritional and Anthropometric Longitudinally Designed (DONALD) study who had a fasting blood sample in adulthood (18–36 years), at least two 3-day weighed dietary records for calculating fructose intakes and other fructose-containing sugars (total (TS), free (FS), added sugar (AS)) as well as two complete 24-h urine samples for calculating sugar excretion (fructose excretion (FE), fructose + sucrose excretion (FE + SE)) in adolescence (males: 9.5–16.5 years; females: 8.5–15.5 years) were analysed using multivariable linear regression analyses.</jats:p>
              </jats:sec><jats:sec>
                <jats:title>Results</jats:title>
                <jats:p>On the level of dietary intake, no prospective associations were observed between adolescent fructose intake and both adult fatty liver indices, whereas higher FS intakes were associated with lower levels of HSI (<jats:italic>P</jats:italic><jats:sub>trend</jats:sub> = 0.02) and FLI (<jats:italic>P</jats:italic><jats:sub>trend</jats:sub> = 0.03). On the urinary excretion level, however, a higher FE (P<jats:sub>trend</jats:sub> = 0.03) and FE + SE (<jats:italic>P</jats:italic><jats:sub>trend</jats:sub> = 0.01) in adolescence were prospectively related to higher adult FLI values. No associations were observed between adolescent sugar excretion and adult HSI.</jats:p>
              </jats:sec><jats:sec>
                <jats:title>Conclusion</jats:title>
                <jats:p>The present study does not provide unambiguous support for a detrimental impact of adolescent fructose intake on adult liver health. Nonetheless, further examinations estimating exposure by means of urinary excretion as well as dietary intake levels appear warranted.</jats:p>
              </jats:sec>}},
  author       = {{Perrar, Ines and Buyken, Anette and Penczynski, Katharina J. and Remer, Thomas and Kuhnle, Gunter G. and Herder, Christian and Roden, Michael and Della Corte, Karen and Nöthlings, Ute and Alexy, Ute}},
  issn         = {{1436-6207}},
  journal      = {{European Journal of Nutrition}},
  pages        = {{3029--3041}},
  title        = {{{Relevance of fructose intake in adolescence for fatty liver indices in young adulthood}}},
  doi          = {{10.1007/s00394-020-02463-2}},
  year         = {{2021}},
}

@article{27014,
  abstract     = {{<jats:p><jats:bold>Purpose:</jats:bold> To examine the prospective relevance of dietary sugar intake (based on dietary data as well as urinary excretion data) in adolescent years for insulin sensitivity and biomarkers of inflammation in young adulthood.</jats:p><jats:p><jats:bold>Methods:</jats:bold> Overall 254 participants of the DONALD study who had at least two 3-day weighed dietary records for calculating intakes of fructose, glucose, sucrose, total, free, added sugars, total sugars from sugar-sweetened beverages (SSB), juice, and sweets/sugar or at least two complete 24 h urine samples (<jats:italic>n</jats:italic> = 221) for calculating sugar excretion (urinary fructose and urinary fructose + sucrose) in adolescence (females: 9–15 years, males: 10–16 years) and a fasting blood sample in adulthood (18–36 years), were included in multivariable linear regression analyses assessing their prospective associations with adult homeostasis model assessment insulin sensitivity (HOMA2-%S) and a pro-inflammatory score (based on CRP, IL-6, IL-18, leptin, chemerin, adiponectin).</jats:p><jats:p><jats:bold>Results:</jats:bold> On the dietary intake level, no prospective associations were observed between adolescent fructose, sucrose, glucose, added, free, total sugar, or total sugar from SSB, juice or sweets/sugar intake and adult HOMA2-%S (<jats:italic>p</jats:italic> &amp;gt; 0.01). On the urinary level, however, higher excreted fructose levels were associated with improved adult HOMA2-%S (<jats:italic>p</jats:italic> = 0.008) among females only. No associations were observed between dietary or urinary sugars and the adult pro-inflammatory score (<jats:italic>p</jats:italic> &amp;gt; 0.01).</jats:p><jats:p><jats:bold>Conclusion:</jats:bold> The present study did not provide support that dietary sugar consumed in adolescence is associated with adult insulin sensitivity. The one potential exception was the moderate dietary consumption of fructose, which showed a beneficial association with adult fasting insulin and insulin sensitivity.</jats:p>}},
  author       = {{Della Corte, Karen A. and Penczynski, Katharina and Kuhnle, Gunter and Perrar, Ines and Herder, Christian and Roden, Michael and Wudy, Stefan A. and Remer, Thomas and Alexy, Ute and Buyken, Anette}},
  issn         = {{2296-861X}},
  journal      = {{Frontiers in Nutrition}},
  title        = {{{The Prospective Association of Dietary Sugar Intake in Adolescence With Risk Markers of Type 2 Diabetes in Young Adulthood}}},
  doi          = {{10.3389/fnut.2020.615684}},
  year         = {{2021}},
}

@article{27114,
  abstract     = {{<jats:title>Abstract</jats:title><jats:sec>
              <jats:title>Background/objectives</jats:title>
              <jats:p>Adolescence is a critical period for both the development of overweight and the transition toward a later chronotype, often accompanied by an increase in social jetlag. This study assessed whether changes in chronotype and social jetlag, are linked to changes in body composition during adolescence.</jats:p>
            </jats:sec><jats:sec>
              <jats:title>Subjects/methods</jats:title>
              <jats:p>We used data from the DONALD open cohort study, collected between 2014 and 2019, from 213 adolescents (9–17 years at baseline, 45% females) having at least two measures of chronotype and anthropometry (<jats:italic>N</jats:italic> = 572). Chronotype was assessed with the Munich Chronotype Questionnaire and defined as: midpoint of sleep corrected for sleep-debt (MSFsc) accumulated over the week (later MSFsc represents later chronotype). Social jetlag (SJL) defines the difference between midpoint of sleep during week and weekend. Calculations for Fat Free Mass Index (FFMI [kg/m<jats:sup>2</jats:sup>)]) and Fat Mass Index (FMI) [kg/m<jats:sup>2</jats:sup>)]) were based on body fat percentage, weight, and height. To analyze the associations, we used linear mixed-effect regression models. Finally, the total cohort was split into three biologically relevant age groups (cut-off set at &lt;12 years, ≥12 to ≤15 years and &gt;15 years).</jats:p>
            </jats:sec><jats:sec>
              <jats:title>Results</jats:title>
              <jats:p>Median follow-up was 2.1 years. Overall, change toward a later chronotype was significantly related with an increase in FMI (ß: 0.05, 95% CI: 0.01–0.08). A 1 h increase in social jetlag predicted an increase in BMI-SDS of 0.08 SDS units (95% CI: 0.01–0.14) and in FMI of 0.04 kg/m2 (95% CI: 0.003–0.08). Associations were stronger for the age group ≥12 to ≤15 years (<jats:italic>p</jats:italic> for interaction: &lt;0.001). No relationship was found with FFMI.</jats:p>
            </jats:sec><jats:sec>
              <jats:title>Conclusions</jats:title>
              <jats:p>Changes in MSFsc and SJL during adolescence were associated with concurrent changes in BMI-SDS and FMI. The age ≥12 to ≤15 years appears to be a sensitive period in which chronobiological changes were clearly associated with increasing body fatness.</jats:p>
            </jats:sec>}},
  author       = {{Jankovic, Nicole and Schmitting, Sarah and Krüger, Bettina and Nöthlings, Ute and Buyken, Anette E. and Alexy, Ute}},
  issn         = {{0954-3007}},
  journal      = {{European Journal of Clinical Nutrition}},
  title        = {{{Changes in chronotype and social jetlag during adolescence and their association with concurrent changes in BMI-SDS and body composition, in the DONALD Study}}},
  doi          = {{10.1038/s41430-021-01024-y}},
  year         = {{2021}},
}

@article{27746,
  author       = {{Zhang, Xiao and Gong, Yunhui and Della Corte, Karen and Yu, Dianke and Xue, Hongmei and Shan, Shufang and Tian, Guo and Liang, Yi and Zhang, Jieyi and He, Fang and Yang, Dagang and Zhou, Rong and Bao, Wei and Buyken, Anette and Cheng, Guo}},
  issn         = {{0261-5614}},
  journal      = {{Clinical Nutrition}},
  pages        = {{2791--2799}},
  title        = {{{Relevance of dietary glycemic index, glycemic load and fiber intake before and during pregnancy for the risk of gestational diabetes mellitus and maternal glucose homeostasis}}},
  doi          = {{10.1016/j.clnu.2021.03.041}},
  year         = {{2021}},
}

@article{27790,
  author       = {{Nyasordzi, Juliana and Conrad, Johanna and Goletzke, Janina and Ludwig-Walz, Helena and Herder, Christian and Roden, Michael and Wudy, Stefan A. and Hua, Yifan and Remer, Thomas and Buyken, Anette}},
  issn         = {{0939-4753}},
  journal      = {{Nutrition, Metabolism and Cardiovascular Diseases}},
  pages        = {{2109--2121}},
  title        = {{{Early life factors and their relevance for markers of cardiometabolic risk in early adulthood}}},
  doi          = {{10.1016/j.numecd.2021.03.024}},
  year         = {{2021}},
}

@article{27793,
  abstract     = {{<jats:title>ABSTRACT</jats:title>
               <jats:sec>
                  <jats:title>Background</jats:title>
                  <jats:p>Reliable tables of glycemic indexes (GIs) and glycemic loads (GLs) are critical to research examining the relationship between glycemic qualities of carbohydrate in foods, diets, and health. In the 12 years since the last edition of the tables, a large amount of new data has become available.</jats:p>
               </jats:sec>
               <jats:sec>
                  <jats:title>Objectives</jats:title>
                  <jats:p>To systematically review and tabulate published and unpublished sources of reliable GI values, including an assessment of the reliability of the data.</jats:p>
               </jats:sec>
               <jats:sec>
                  <jats:title>Methods</jats:title>
                  <jats:p>This edition of the tables lists over 4000 items, a 61% increase in the number of entries compared to the 2008 edition. The data have been separated into 2 lists. The first represents more precise values derived using the methodology recommended by the International Standards Organization (∼2100 items). The second list contains values determined using less robust methods, including using limited numbers of healthy subjects or with a large SEM (∼1900 food items).</jats:p>
               </jats:sec>
               <jats:sec>
                  <jats:title>Results</jats:title>
                  <jats:p>Dairy products, legumes, pasta, and fruits were usually low-GI foods (≤55 on the 100-point glucose scale) and had consistent values around the world. Cereals and cereal products, however, including whole-grain or whole-meal versions, showed wide variation in GI values, presumably arising from variations in manufacturing methods. Breads, breakfast cereals, rice, savory snack products, and regional foods were available in high-, medium-, and low-GI versions. Most varieties of potato were high-GI foods, but specific low-GI varieties have now been identified.</jats:p>
               </jats:sec>
               <jats:sec>
                  <jats:title>Conclusions</jats:title>
                  <jats:p>The availability of new data on the GIs of foods will facilitate wider research and application of the twin concepts of GI and GL. Although the 2021 edition of the tables improves the quality and quantity of GI data available for research and clinical practice, GI testing of regional foods remains a priority. This systematic review was registered in PROSPERO as #171204.</jats:p>
               </jats:sec>}},
  author       = {{Atkinson, Fiona S and Brand-Miller, Jennie C and Foster-Powell, Kaye and Buyken, Anette and Goletzke, Janina}},
  issn         = {{0002-9165}},
  journal      = {{The American Journal of Clinical Nutrition}},
  pages        = {{1625--1632}},
  title        = {{{International tables of glycemic index and glycemic load values 2021: a systematic review}}},
  doi          = {{10.1093/ajcn/nqab233}},
  year         = {{2021}},
}

@article{33008,
  author       = {{Ludwig-Walz, Helena and Nyasordzi, Juliana and Weber, Katharina S. and Buyken, Anette and Kroke, Anja}},
  issn         = {{0939-4753}},
  journal      = {{Nutrition, Metabolism and Cardiovascular Diseases}},
  keywords     = {{Cardiology and Cardiovascular Medicine, Nutrition and Dietetics, Endocrinology, Diabetes and Metabolism, Medicine (miscellaneous)}},
  number       = {{4}},
  pages        = {{833--852}},
  publisher    = {{Elsevier BV}},
  title        = {{{Maternal pregnancy weight or gestational weight gain and offspring's blood pressure: A systematic review}}},
  doi          = {{10.1016/j.numecd.2021.11.011}},
  volume       = {{32}},
  year         = {{2021}},
}

@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{46078,
  abstract     = {{<jats:title>Abstract</jats:title><jats:sec>
                <jats:title>Aim</jats:title>
                <jats:p>To identify and summarize the evidence for the effect of health-oriented leadership interventions on health and well-being outcomes at the employee level following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses statement (Moher et al. 2009).</jats:p>
              </jats:sec><jats:sec>
                <jats:title>Subject and Methods</jats:title>
                <jats:p>A systematic search of relevant studies was conducted in multiple databases. Randomized controlled trials (RCTs), cluster-randomized controlled trials (cRCTs) and controlled before–after studies (CBAs) were included based on the following criteria: interventions that addressed supervisors, to raise awareness for the importance of health issues, teach mindfulness practices for conscious awareness, reduce stress and promote resources at the level of individual behavior, and evaluated the effect on at least one outcome of psychomental stress, absenteeism and well-being on the employee level.</jats:p>
              </jats:sec><jats:sec>
                <jats:title>Results</jats:title>
                <jats:p>Of 6126 publications retrieved, ten studies were identified for analysis. Significant effects of leadership training were reported on exhaustion tendency, self-reported sickness absence, work-related sickness absence and job satisfaction in studies comparing health-oriented training programs to no intervention. Studies comparing health-oriented leadership training to other  training did not report significant effects. Risk of bias was judged to be high in seven studies and unclear in three studies.</jats:p>
              </jats:sec><jats:sec>
                <jats:title>Conclusion</jats:title>
                <jats:p>Evidence for the effectiveness of health-oriented leadership interventions on employees’ stress, absenteeism or well-being is judged to be low, clearly indicating the need for more and higher-quality research.</jats:p>
              </jats:sec>}},
  author       = {{Dannheim, Indra and Ludwig-Walz, Helena and Buyken, Anette and Grimm, Valerie and Kroke, Anja}},
  issn         = {{2198-1833}},
  journal      = {{Journal of Public Health}},
  keywords     = {{Public Health, Environmental and Occupational Health}},
  number       = {{12}},
  pages        = {{2777--2789}},
  publisher    = {{Springer Science and Business Media LLC}},
  title        = {{{Effectiveness of health-oriented leadership interventions for improving health and wellbeing of employees: a systematic review}}},
  doi          = {{10.1007/s10389-021-01664-1}},
  volume       = {{30}},
  year         = {{2021}},
}

@article{28011,
  author       = {{Brand-Miller, Jennie and Buyken, Anette}},
  issn         = {{1078-8956}},
  journal      = {{Nature Medicine}},
  pages        = {{828--830}},
  title        = {{{Mapping postprandial responses sets the scene for targeted dietary advice}}},
  doi          = {{10.1038/s41591-020-0909-1}},
  year         = {{2020}},
}

@article{27013,
  abstract     = {{<jats:title>Abstract</jats:title><jats:p>Flavonoids are suggested to reduce disease risk. Since dietary habits are acquired during early life, describing age and time trends of flavonoid intake and major food sources are important for monitoring and disease prevention in later life. We aimed to describe total flavonoid intake and food sources and to investigate age and time trends of flavonoid intake in 3–18-year-olds, from the Dortmund Nutritional and Anthropometric Longitudinally Designed study from 1985 to 2016. Intake was assessed annually using 3-d weighed food records (WFR). Flavonoid values were assigned using the United States Department of Agriculture database. Foods contributing to intake were determined. Age and time trends in total flavonoid and isoflavone density were analysed by sex with PROC MIXED. In total, 1312 children completed 10 758 WFR. Across all ages, daily mean total flavonoid density was lower in boys compared with girls (134 <jats:italic>v</jats:italic>. 146 mg/4184 kJ) and no difference in median isoflavone density (0·04 mg/4184 kJ per d) was found. The top five foods contributing to total flavonoid intake were apple with peel (15·0/17·1 %), strawberries (5·9/6·1 %), chocolate spread (3·9/3·5 %), orange juice (3·5/3·4 %) and pasta (3·5/3·4 %) for boys and girls, respectively. Overall, in boys, total flavonoid density decreased over the course of age and time. In girls, there was no association with age or time. In both sexes, isoflavone density followed a U-shaped age trend with no change over time. From a public health perspective, the overall observed downwards trend of flavonoid intake in boys deserves attention. Future initiatives should be tailored at maintaining a high flavonoid density as children age, specifically among boys.</jats:p>}},
  author       = {{Rienks, Johanna and Penczynski, Katharina J. and Schmitting, Sarah and Buyken, Anette and Nöthlings, Ute}},
  issn         = {{0007-1145}},
  journal      = {{British Journal of Nutrition}},
  pages        = {{1198--1206}},
  title        = {{{Dietary flavonoids among children and adolescents in the Dortmund Nutritional and Anthropometric Longitudinally Designed (DONALD) study: intake, food sources and trends from 1985 until 2016}}},
  doi          = {{10.1017/s000711452000183x}},
  year         = {{2020}},
}

@article{27795,
  author       = {{Kupriyanova, Yuliya and Zaharia, Oana Patricia and Bobrov, Pavel and Karusheva, Yanislava and Burkart, Volker and Szendroedi, Julia and Hwang, Jong-Hee and Roden, Michael and Roden, M. and Al-Hasani, H. and Burkart, V. and Buyken, Anette and Geerling, G. and Hwang, J.H. and Herder, C. and Icks, A. and Jandeleit-Dahm, K. and Kahl, S. and Kotzka, J. and Kuss, O. and Lammert, E. and Trenkamp, S. and Rathmann, W. and Szendroedi, J. and Ziegler, D.}},
  issn         = {{0168-8278}},
  journal      = {{Journal of Hepatology}},
  pages        = {{1028--1037}},
  title        = {{{Early changes in hepatic energy metabolism and lipid content in recent-onset type 1 and 2 diabetes mellitus}}},
  doi          = {{10.1016/j.jhep.2020.11.030}},
  year         = {{2020}},
}

@article{27797,
  abstract     = {{<jats:title>Abstract</jats:title>
               <jats:sec>
                  <jats:title>Objective</jats:title>
                  <jats:p>To provide a systematic overview of world dietary sugar and sugar-sweetened beverage (SSB) intake trends in children and adolescents.</jats:p>
               </jats:sec>
               <jats:sec>
                  <jats:title>Data Sources</jats:title>
                  <jats:p>Medline, Embase, and the Cochrane Central Register of Controlled Trials in the Cochrane Library were searched through January 2019 to identify longitudinal follow-up studies with time-trend data and repeated cross-sectional studies.</jats:p>
               </jats:sec>
               <jats:sec>
                  <jats:title>Data Extraction</jats:title>
                  <jats:p>Data from studies reporting ≥ 2 measurements (sugars, SSB, or sweets/candy) over ≥ 2 years and included ≥ 20 healthy, normal- or overweight children or adolescents aged 1–19 years.</jats:p>
               </jats:sec>
               <jats:sec>
                  <jats:title>Data Analysis</jats:title>
                  <jats:p>Data from 43 articles (n = 4 prospective cohort studies; n = 39 repeated cross-sectional studies) from 15 countries (n = 8 European countries plus Australia, Canada, China, South Korea, Mexico, Russia, and the United States) are presented narratively. According to the risk of bias in nonrandomized studies of interventions tool, 34 studies were judged to have a moderate risk of bias, and 5 to have a serious risk of bias.</jats:p>
               </jats:sec>
               <jats:sec>
                  <jats:title>Conclusions</jats:title>
                  <jats:p>Consumption among US children and adolescents increased substantially in the decades preceding 2000, followed by a faster and continued decline. As a whole, other international intake trends did not reveal drastic increases and decreases in SSB and dietary sugars; they tended to change only slightly across 3 decades.</jats:p>
               </jats:sec>}},
  author       = {{Della Corte, Karen and Fife, Jessica and Gardner, Alexis and Murphy, Britta L and Kleis, Linda and Della Corte, Dennis and Schwingshackl, Lukas and LeCheminant, James D and Buyken, Anette}},
  issn         = {{0029-6643}},
  journal      = {{Nutrition Reviews}},
  pages        = {{274--288}},
  title        = {{{World trends in sugar-sweetened beverage and dietary sugar intakes in children and adolescents: a systematic review}}},
  doi          = {{10.1093/nutrit/nuaa070}},
  year         = {{2020}},
}

