@article{60182, author = {{Perrar, I and Hohoff, E and Lesani, A and Schmitting, S and Libuda, Lars and Krüger, Bettina and Stutz, Bianca and Nöthlings, U and Buyken, Anette and Alexy, U and Jankovic, N}}, issn = {{1436-6207}}, journal = {{Eur J Nutr}}, number = {{4}}, pages = {{165}}, title = {{{Circadian eating patterns track from infancy to pre- and primary school-age, but are not prospectively associated with body composition in childhood - Results of the DONALD cohort study.}}}, volume = {{64}}, year = {{2025}}, } @article{60187, author = {{Revheim, I and Sabir, Z and Dierkes, J and Buyken, Anette and Landberg, R and Alten, I and Spielau, U and Rosendahl-Riise, H}}, issn = {{1436-6207}}, journal = {{Eur J Nutr}}, number = {{5}}, pages = {{197}}, title = {{{Bread, wholegrain consumption and weight change from middle to late adulthood: a prospective cohort study. }}}, volume = {{64}}, year = {{2025}}, } @article{62899, abstract = {{Abstract Purpose This protocol outlines the rigorous process for developing the new German guideline on dietary carbohydrate intake and its impact on health-related outcomes, building on a substantial body of evidence regarding carbohydrate quantity and quality. Methods A professional guideline panel has been established, and research questions have been formulated a-priori. The novel methodological approach follows a structured process and adheres to established recommendations for guidelines. Results Umbrella reviews of systematic reviews with meta-analyses of randomized controlled trials or prospective observational studies on carbohydrate quantity and quality in relation to health-related outcomes will be conducted. Relevant aspects of carbohydrate intake include total carbohydrates, dietary sugars, starch, the dietary glycaemic index, the dietary insulin index, dietary glycaemic load, dietary insulin load, dietary fibre, and whole grains. The prioritized outcomes include body weight-related outcomes, type 2 diabetes, dyslipidemia, elevated blood pressure, cardiovascular diseases, cancer, and dental caries and periodontal diseases. The literature search will be conducted in MEDLINE and Epistemonikos starting from 2015, as older reports are likely covered or superseded by more recent ones. The most comprehensive systematic review with meta-analysis with the highest methodological quality standards (according to a modified version of AMSTAR 2) will be selected for each specific association or effect. The certainty of evidence will be rated using the GRADE approach. The guideline development will follow the Evidence-to-Decision (EtD) framework. Conclusions This methodological protocol is in line with international standards and provides transparent framework for the guideline on dietary carbohydrate intake and health-related outcomes of the Germany Nutrition Society. }}, author = {{Schlesinger, Sabrina and Conrad, Johanna and Amini, Anna Maria and Buyken, Anette and Egert, Sarah and Haardt, Julia and Kalotai, Nicole and Kroke, Anja and Schwingshackl, Lukas}}, issn = {{1436-6207}}, journal = {{European Journal of Nutrition}}, number = {{5}}, publisher = {{Springer Science and Business Media LLC}}, title = {{{Dietary carbohydrate intake and health-related outcomes: a protocol for the evidence evaluation methodology for the new guideline on dietary carbohydrate intake of the German nutrition society}}}, doi = {{10.1007/s00394-025-03744-4}}, volume = {{64}}, year = {{2025}}, } @article{62898, abstract = {{Abstract Purpose This umbrella review aimed to investigate the evidence for an association of dietary intake of total protein as well as animal and plant protein with the incidence of coronary heart disease (CHD), stroke and total cardiovascular diseases (CVD). Methods PubMed, Embase and Cochrane Database were systematically searched for systematic reviews (SRs) of prospective studies with or without meta-analysis (MA) published between January 2012 and April 2024. Methodological quality, outcome-specific certainty of evidence, and overall certainty of evidence were assessed using established tools and predefined criteria. Results Ten SRs were considered eligible for the umbrella review; all were based on prospective cohort studies, and six conducted a MA. Dietary intakes of total, animal and plant protein were not associated with the risk of CHD or stroke. For CHD, the overall certainty of evidence for the absence of an association was “probable” for total, animal and plant protein. For stroke and total CVD, the overall certainty of evidence was rated as “possible” for the absence of an association with the intake of total protein and plant protein and insufficient for animal protein intake. Conclusion Given that most SRs on dietary protein intake did not indicate an association, it seems that protein intake plays no major role in the development of CVD. This investigation was registered at PROSPERO as CRD42018082395. }}, author = {{Egert, Sarah and Amini, Anna M. and Klug, Lea and Kalotai, Nicole and Haardt, Julia and Boeing, Heiner and Buyken, Anette and Kroke, Anja and Lorkowski, Stefan and Louis, Sandrine and Nimptsch, Katharina and Schulze, Matthias B. and Schwingshackl, Lukas and Siener, Roswitha and Stangl, Gabriele I. and Zittermann, Armin and Watzl, Bernhard and Ellinger, Sabine}}, issn = {{1436-6207}}, journal = {{European Journal of Nutrition}}, number = {{6}}, publisher = {{Springer Science and Business Media LLC}}, title = {{{Protein intake and cardiovascular diseases: an umbrella review of systematic reviews for the evidence-based guideline on protein intake of the German Nutrition Society}}}, doi = {{10.1007/s00394-025-03746-2}}, volume = {{64}}, year = {{2025}}, } @article{54424, abstract = {{Abstract Purpose It has been proposed that a higher habitual protein intake may increase cancer risk, possibly via upregulated insulin-like growth factor signalling. Since a systematic evaluation of human studies on protein intake and cancer risk based on a standardised assessment of systematic reviews (SRs) is lacking, we carried out an umbrella review of SRs on protein intake in relation to risks of different types of cancer. Methods Following a pre-specified protocol (PROSPERO: CRD42018082395), we retrieved SRs on protein intake and cancer risk published before January 22th 2024, and assessed the methodological quality and outcome-specific certainty of the evidence using a modified version of AMSTAR 2 and NutriGrade, respectively. The overall certainty of evidence was rated according to predefined criteria. Results Ten SRs were identified, of which eight included meta-analyses. Higher total protein intake was not associated with risks of breast, prostate, colorectal, ovarian, or pancreatic cancer incidence. The methodological quality of the included SRs ranged from critically low (kidney cancer), low (pancreatic, ovarian and prostate cancer) and moderate (breast and prostate cancer) to high (colorectal cancer). The outcome-specific certainty of the evidence underlying the reported findings on protein intake and cancer risk ranged from very low (pancreatic, ovarian and prostate cancer) to low (colorectal, ovarian, prostate, and breast cancer). Animal and plant protein intakes were not associated with cancer risks either at a low (breast and prostate cancer) or very low (pancreatic and prostate cancer) outcome-specific certainty of the evidence. Overall, the evidence for the lack of an association between protein intake and (i) colorectal cancer risk and (ii) breast cancer risk was rated as possible. By contrast, the evidence underlying the other reported results was rated as insufficient. Conclusion The present findings suggest that higher total protein intake may not be associated with the risk of colorectal and breast cancer, while conclusions on protein intake in relation to risks of other types of cancer are restricted due to insufficient evidence. }}, author = {{Kühn, Tilman and Kalotai, Nicole and Amini, Anna M. and Haardt, Julia and Lehmann, Andreas and Schmidt, Annemarie and Buyken, Anette and Egert, Sarah and Ellinger, Sabine and Kroke, Anja and Lorkowski, Stefan and Louis, Sandrine and Schulze, Matthias B. and Schwingshackl, Lukas and Siener, Roswitha and Stangl, Gabriele I. and Watzl, Bernhard and Zittermann, Armin and Nimptsch, Katharina}}, issn = {{1436-6207}}, journal = {{European Journal of Nutrition}}, publisher = {{Springer Science and Business Media LLC}}, title = {{{Protein intake and cancer: an umbrella review of systematic reviews for the evidence-based guideline of the German Nutrition Society}}}, doi = {{10.1007/s00394-024-03380-4}}, year = {{2024}}, } @article{54421, abstract = {{Abstract Introduction This umbrella review aimed to investigate the evidence of an effect of dietary intake of total protein, animal and plant protein on blood pressure (BP), and hypertension (PROSPERO: CRD42018082395). Methods PubMed, Embase and Cochrane Database were systematically searched for systematic reviews (SRs) of prospective studies with or without meta-analysis published between 05/2007 and 10/2022. The methodological quality and outcome-specific certainty of evidence were assessed by the AMSTAR 2 and NutriGrade tools, followed by an assessment of the overall certainty of evidence. SRs investigating specific protein sources are described in this review, but not included in the assessment of the overall certainty of evidence. Results Sixteen SRs were considered eligible for the umbrella review. Ten of the SRs investigated total protein intake, six animal protein, six plant protein and four animal vs. plant protein. The majority of the SRs reported no associations or effects of total, animal and plant protein on BP (all “possible” evidence), whereby the uncertainty regarding the effects on BP was particularly high for plant protein. Two SRs addressing milk-derived protein showed a reduction in BP; in contrast, SRs investigating soy protein found no effect on BP. The outcome-specific certainty of evidence of the SRs was mostly rated as low. Discussion/conclusion This umbrella review showed uncertainties whether there are any effects on BP from the intake of total protein, or animal or plant proteins, specifically. Based on data from two SRs with milk protein, it cannot be excluded that certain types of protein could favourably influence BP. }}, author = {{Boeing, Heiner and Amini, Anna M. and Haardt, Julia and Schmidt, Annemarie and Bischoff-Ferrari, Heike A. and Buyken, Anette and Egert, Sarah and Ellinger, Sabine and Kroke, Anja and Lorkowski, Stefan and Louis, Sandrine and Nimptsch, Katharina and Schulze, Matthias B. and Schutkowski, Alexandra and Schwingshackl, Lukas and Siener, Roswitha and Zittermann, Armin and Watzl, Bernhard and Stangl, Gabriele I.}}, issn = {{1436-6207}}, journal = {{European Journal of Nutrition}}, publisher = {{Springer Science and Business Media LLC}}, title = {{{Dietary protein and blood pressure: an umbrella review of systematic reviews and evaluation of the evidence}}}, doi = {{10.1007/s00394-024-03336-8}}, year = {{2024}}, } @article{54423, abstract = {{Abstract Purpose Glycemic response to the same meal depends on daytime and alignment of consumption with the inner clock, which has not been examined by individual chronotype yet. This study examined whether the 2-h postprandial and 24-h glycemic response to a meal with high glycemic index (GI) differ when consumed early or late in the day among students with early or late chronotype. Methods From a screening of 327 students aged 18–25 years, those with early (n = 22) or late (n = 23) chronotype participated in a 7-day randomized controlled cross-over intervention study. After a 3-day observational phase, standardized meals were provided on run-in/washout (days 4 and 6) and intervention (days 5 and 7), on which participants received a high GI meal (GI = 72) in the morning (7 a.m.) or in the evening (8 p.m.). All other meals had a medium GI. Continuous glucose monitoring was used to measure 2-h postprandial and 24-h glycemic responses and their variability. Results Among students with early chronotype 2-h postprandial glucose responses to the high GI meal were higher in the evening than in the morning (iAUC: 234 (± 92) vs. 195 (± 91) (mmol/L) × min, p = 0.042). Likewise, mean and lowest 2-h postprandial glucose values were higher when the high GI meal was consumed in the evening (p < 0.001; p = 0.017). 24-h glycemic responses were similar irrespective of meal time. Participants with late chronotype consuming a high GI meal in the morning or evening showed similar 2-h postprandial (iAUC: 211 (± 110) vs. 207 (± 95) (mmol/L) × min, p = 0.9) and 24-h glycemic responses at both daytimes. Conclusions Diurnal differences in response to a high GI meal are confined to those young adults with early chronotype, whilst those with a late chronotype seem vulnerable to both very early and late high GI meals. Registered at clinicaltrials.gov (NCT04298645; 22/01/2020). }}, author = {{Stutz, Bianca and Krueger, Bettina and Goletzke, Janina and Jankovic, Nicole and Alexy, Ute and Herder, Christian and Dierkes, Jutta and Berg-Beckhoff, Gabriele and Jakobsmeyer, Rasmus and Reinsberger, Claus and Buyken, Anette}}, issn = {{1436-6207}}, journal = {{European Journal of Nutrition}}, publisher = {{Springer Science and Business Media LLC}}, title = {{{Glycemic response to meals with a high glycemic index differs between morning and evening: a randomized cross-over controlled trial among students with early or late chronotype}}}, doi = {{10.1007/s00394-024-03372-4}}, year = {{2024}}, } @article{53787, abstract = {{Abstract Purpose Glycemic response to the same meal depends on daytime and alignment of consumption with the inner clock, which has not been examined by individual chronotype yet. This study examined whether the 2-h postprandial and 24-h glycemic response to a meal with high glycemic index (GI) differ when consumed early or late in the day among students with early or late chronotype. Methods From a screening of 327 students aged 18–25 years, those with early (n = 22) or late (n = 23) chronotype participated in a 7-day randomized controlled cross-over intervention study. After a 3-day observational phase, standardized meals were provided on run-in/washout (days 4 and 6) and intervention (days 5 and 7), on which participants received a high GI meal (GI = 72) in the morning (7 a.m.) or in the evening (8 p.m.). All other meals had a medium GI. Continuous glucose monitoring was used to measure 2-h postprandial and 24-h glycemic responses and their variability. Results Among students with early chronotype 2-h postprandial glucose responses to the high GI meal were higher in the evening than in the morning (iAUC: 234 (± 92) vs. 195 (± 91) (mmol/L) × min, p = 0.042). Likewise, mean and lowest 2-h postprandial glucose values were higher when the high GI meal was consumed in the evening (p < 0.001; p = 0.017). 24-h glycemic responses were similar irrespective of meal time. Participants with late chronotype consuming a high GI meal in the morning or evening showed similar 2-h postprandial (iAUC: 211 (± 110) vs. 207 (± 95) (mmol/L) × min, p = 0.9) and 24-h glycemic responses at both daytimes. Conclusions Diurnal differences in response to a high GI meal are confined to those young adults with early chronotype, whilst those with a late chronotype seem vulnerable to both very early and late high GI meals. Registered at clinicaltrials.gov (NCT04298645; 22/01/2020). }}, author = {{Stutz, Bianca and Krueger, Bettina and Goletzke, Janina and Jankovic, Nicole and Alexy, Ute and Herder, Christian and Dierkes, Jutta and Berg-Beckhoff, Gabriele and Jakobsmeyer, Rasmus and Reinsberger, Claus and Buyken, Anette E.}}, issn = {{1436-6207}}, journal = {{European Journal of Nutrition}}, publisher = {{Springer Science and Business Media LLC}}, title = {{{Glycemic response to meals with a high glycemic index differs between morning and evening: a randomized cross-over controlled trial among students with early or late chronotype}}}, doi = {{10.1007/s00394-024-03372-4}}, year = {{2024}}, } @article{48374, abstract = {{Abstract Purpose Protein-rich foods show heterogeneous associations with the risk of type 2 diabetes (T2D) and it remains unclear whether habitual protein intake is related to T2D risk. We carried out an umbrella review of systematic reviews (SR) of randomised trials and/or cohort studies on protein intake in relation to risks of T2D. Methods Following a pre-specified protocol (PROSPERO: CRD42018082395), we retrieved SRs on protein intake and T2D risk published between July 1st 2009 and May 22nd 2022, and assessed the methodological quality and outcome-specific certainty of the evidence using a modified version of AMSTAR 2 and NutriGrade, respectively. The overall certainty of evidence was rated according to predefined criteria. Results Eight SRs were identified of which six contained meta-analyses. The majority of SRs on total protein intake had moderate or high methodological quality and moderate outcome-specific certainty of evidence according to NutriGrade, however, the latter was low for the majority of SRs on animal and plant protein. Six of the eight SRs reported risk increases with both total and animal protein. According to one SR, total protein intake in studies was ~ 21 energy percentage (%E) in the highest intake category and 15%E in the lowest intake category. Relative Risks comparing high versus low intake in most recent SRs ranged from 1.09 (two SRs, 95% CIs 1.02–1.15 and 1.06–1.13) to 1.11 (1.05–1.16) for total protein (between 8 and 12 cohort studies included) and from 1.13 (1.08–1.19) to 1.19 (two SRs, 1.11–1.28 and 1.11–1.28) (8–9 cohort studies) for animal protein. However, SRs on RCTs examining major glycaemic traits (HbA1c, fasting glucose, fasting insulin) do not support a clear biological link with T2D risk. For plant protein, some recent SRs pointed towards risk decreases and non-linear associations, however, the majority did not support an association with T2D risk. Conclusion Higher total protein intake was possibly associated with higher T2D risk, while there is insufficient evidence for a risk increase with higher intakes of animal protein and a risk decrease with plant protein intake. Given that most SRs on plant protein did not indicate an association, there is possibly a lack of an effect. }}, author = {{Schulze, Matthias B. and Haardt, Julia and Amini, Anna M. and Kalotai, Nicole and Lehmann, Andreas and Schmidt, Annemarie and Buyken, Anette and Egert, Sarah and Ellinger, Sabine and Kroke, Anja and Kühn, Tilman and Louis, Sandrine and Nimptsch, Katharina and Schwingshackl, Lukas and Siener, Roswitha and Zittermann, Armin and Watzl, Bernhard and Lorkowski, Stefan}}, issn = {{1436-6207}}, journal = {{European Journal of Nutrition}}, keywords = {{Nutrition and Dietetics, Medicine (miscellaneous)}}, publisher = {{Springer Science and Business Media LLC}}, title = {{{Protein intake and type 2 diabetes mellitus: an umbrella review of systematic reviews for the evidence-based guideline for protein intake of the German Nutrition Society}}}, doi = {{10.1007/s00394-023-03234-5}}, year = {{2023}}, } @article{48373, abstract = {{Abstract Purpose This umbrella review aimed to assess whether dietary protein intake with regard to quantitative (higher vs. lower dietary protein intake) and qualitative considerations (total, plant-based or animal-based protein intake) affects body weight (BW), fat mass (FM) and waist circumference (WC). Methods A systematic literature search was conducted in PubMed, Embase and Cochrane Database of Systematic Reviews for systematic reviews (SRs) with and without meta-analyses of prospective studies published between 04 October 2007 and 04 January 2022. Methodological quality and outcome-specific certainty of evidence of the retrieved SRs were assessed by using AMSTAR 2 and NutriGrade, respectively, in order to rate the overall certainty of evidence using predefined criteria. Results Thirty-three SRs were included in this umbrella review; 29 were based on randomised controlled trials, a few included cohort studies. In studies without energy restriction, a high-protein diet did not modulate BW, FM and WC in adults in general (all “possible” evidence); for older adults, overall certainty of evidence was “insufficient” for all parameters. Under hypoenergetic diets, a high-protein diet mostly decreased BW and FM, but evidence was “insufficient” due to low methodological quality. Evidence regarding an influence of the protein type on BW, FM and WC was “insufficient”. Conclusion “Possible” evidence exists that the amount of protein does not affect BW, FM and WC in adults under isoenergetic conditions. Its impact on the reduction in BW and FM under hypoenergetic conditions remains unclear; evidence for an influence of protein type on BW, FM and WC is “insufficient”. }}, author = {{Ellinger, Sabine and Amini, Anna M. and Haardt, Julia and Lehmann, Andreas and Schmidt, Annemarie and Bischoff-Ferrari, Heike A. and Buyken, Anette and Kroke, Anja and Kühn, Tilman and Louis, Sandrine and Lorkowski, Stefan and Nimptsch, Katharina and Schulze, Matthias B. and Schwingshackl, Lukas and Siener, Roswitha and Stangl, Gabriele I. and Volkert, Dorothee and Zittermann, Armin and Watzl, Bernhard and Egert, Sarah}}, issn = {{1436-6207}}, journal = {{European Journal of Nutrition}}, keywords = {{Nutrition and Dietetics, Medicine (miscellaneous)}}, publisher = {{Springer Science and Business Media LLC}}, title = {{{Protein intake and body weight, fat mass and waist circumference: an umbrella review of systematic reviews for the evidence-based guideline on protein intake of the German Nutrition Society}}}, doi = {{10.1007/s00394-023-03220-x}}, year = {{2023}}, } @article{48456, abstract = {{Abstract Purpose Our aim was to assess alignment in timing of ‘highest caloric intake’ with individual chronotype and its association with body composition in adolescents. Methods We used repeatedly collected data from n = 196 adolescents (age 9–16 years, providing N = 401 yearly questionnaires) of the DONALD open cohort study. Chronotype was assessed by the Munich Chronotype Questionnaire from which midpoint of sleep (MSFsc) was derived. A sex- and age-specific diet-chrono-alignment score (DCAS) was calculated as the difference in hours between the chronotype-specific median timing of highest caloric intake of the studied population and the individual timing of ‘highest caloric intake’ or vice versa. Repeated-measures regression models were applied to study cross-sectional and longitudinal associations between the DCAS and body composition, e.g., Fat Mass Index (FMI) or Fat Free Mass Index (FFMI). Results DCAS ranged from −6:42 h to + 8:01 h and was not associated with body composition. Among adolescents with a later chronotype (N = 201) a 1 h increase in DCAS (later consumption of ‘highest caloric intake’ in comparison to the median intake of that group), increased FFMI by 1.92 kg/m2 (95% CI: 0.15, 3.69, p value = 0.04) over a median follow-up of 0.94 year. Conclusion Alignment of energy intake with individual chronotype appears beneficial for FFMI among those with a late chronotype. }}, author = {{Jankovic, Nicole and Schmitting, Sarah and Stutz, Bianca and Krüger, Bettina and Buyken, Anette and Alexy, Ute}}, issn = {{1436-6207}}, journal = {{European Journal of Nutrition}}, keywords = {{Nutrition and Dietetics, Medicine (miscellaneous)}}, publisher = {{Springer Science and Business Media LLC}}, title = {{{Alignment between timing of ‘highest caloric intake’ and chronotype in relation to body composition during adolescence: the DONALD Study}}}, doi = {{10.1007/s00394-023-03259-w}}, year = {{2023}}, } @article{33009, abstract = {{Abstract Purpose The present work aimed to delineate (i) a revised protocol according to recent methodological developments in evidence generation, to (ii) describe its interpretation, the assessment of the overall certainty of evidence and to (iii) outline an Evidence to Decision framework for deriving an evidence-based guideline on quantitative and qualitative aspects of dietary protein intake. Methods A methodological protocol to systematically investigate the association between dietary protein intake and several health outcomes and for deriving dietary protein intake recommendations for the primary prevention of various non-communicable diseases in the general adult population was developed. Results The developed methodological protocol relies on umbrella reviews including systematic reviews with or without meta-analyses. Systematic literature searches in three databases will be performed for each health-related outcome. The methodological quality of all selected systematic reviews will be evaluated using a modified version of AMSTAR 2, and the outcome-specific certainty of evidence for systematic reviews with or without meta-analysis will be assessed with NutriGrade. The general outline of the Evidence to Decision framework foresees that recommendations in the derived guideline will be given based on the overall certainty of evidence as well as on additional criteria such as sustainability. Conclusion The methodological protocol permits a systematic evaluation of published systematic reviews on dietary protein intake and its association with selected health-related outcomes. An Evidence to Decision framework will be the basis for the overall conclusions and the resulting recommendations for dietary protein intake. }}, author = {{Kroke, Anja and Schmidt, Annemarie and Amini, Anna M. and Kalotai, Nicole and Lehmann, Andreas and Haardt, Julia and Bauer, Jürgen M. and Bischoff-Ferrari, Heike A. and Boeing, Heiner and Egert, Sarah and Ellinger, Sabine and Kühn, Tilman and Louis, Sandrine and Lorkowski, Stefan and Nimptsch, Katharina and Remer, Thomas and Schulze, Matthias B. and Siener, Roswitha and Stangl, Gabriele I. and Volkert, Dorothee and Zittermann, Armin and Buyken, Anette E. and Watzl, Bernhard and Schwingshackl, Lukas}}, issn = {{1436-6207}}, journal = {{European Journal of Nutrition}}, keywords = {{Nutrition and Dietetics, Medicine (miscellaneous)}}, number = {{4}}, pages = {{2091--2101}}, publisher = {{Springer Science and Business Media LLC}}, title = {{{Dietary protein intake and health-related outcomes: a methodological protocol for the evidence evaluation and the outline of an evidence to decision framework underlying the evidence-based guideline of the German Nutrition Society}}}, doi = {{10.1007/s00394-021-02789-5}}, volume = {{61}}, year = {{2022}}, } @article{33383, author = {{Bühlmeier, Judith and Frölich, Stefanie and Ludwig, Christine and Knoll-Pientka, Nadja and Schmidt, Börge and Föcker, Manuel and Libuda, Lars}}, issn = {{1436-6207}}, journal = {{European Journal of Nutrition}}, keywords = {{Nutrition and Dietetics, Medicine (miscellaneous)}}, number = {{6}}, pages = {{3307--3308}}, publisher = {{Springer Science and Business Media LLC}}, title = {{{Correction to: Changes in patterns of eating habits and food intake during the first German COVID-19 lockdown: results of a cross-sectional online survey}}}, doi = {{10.1007/s00394-022-02952-6}}, volume = {{61}}, year = {{2022}}, } @article{32328, abstract = {{Abstract Purpose The COVID-19 pandemic and public measures have a direct impact on the nutrition situation; studies show changes in food consumption, eating behavior or body weight but complex pattern analyses of changes rarely exist. Methods During the first German lockdown, a web-based survey was conducted among adults. It included 33 questions about changes in food intake, eating habits and physical activity, as well as anthropometrics and sociodemographic factors. Patterns of change were calculated based on changes in food intake and eating habits using two-step cluster analysis. To identify influencing factors for assignment to the patterns of change, binary logistic regression analyses were performed. Results Data from 2103 participants (81% female, 40 ± 14 years) were considered for analysis. Increased stockpiling, cooking, and variation in preparation was reported by 50–70%. The constant pattern (C-P, 36%) reported little change besides the above. The health-oriented pattern (HO-P; 37%) reported eating more healthy foods, avoiding unhealthy foods, and eating less and less frequently. The emotional-driven pattern (ED-P; 28%) exhibits higher influence of emotions on eating behavior, less avoidance of unhealthy foods, and increased consumption of sweets, pastries, and alcohol. The odds of changing eating behavior either to HO-P or ED-P were higher in women, people with migration background, younger participants, and increased with BMI categories. Conclusion Both, the ED-P and HO-P, exhibit distinctive reactions in eating habits and food intake when dealing with a distressing experience. In subgroups, these may lead to disturbances in eating behavior and increase the risk for eating disorders and obesity. }}, author = {{Bühlmeier, Judith and Frölich, Stefanie and Ludwig, Christine and Knoll-Pientka, Nadja and Schmidt, Börge and Föcker, Manuel and Libuda, Lars}}, issn = {{1436-6207}}, journal = {{European Journal of Nutrition}}, keywords = {{Nutrition and Dietetics, Medicine (miscellaneous)}}, publisher = {{Springer Science and Business Media LLC}}, title = {{{Changes in patterns of eating habits and food intake during the first German COVID-19 lockdown: results of a cross-sectional online survey}}}, doi = {{10.1007/s00394-022-02919-7}}, year = {{2022}}, } @article{33235, abstract = {{Abstract Purpose We aimed to investigate whether parental and siblings’ sugar-sweetened beverage (SSB) intake had prospective impact on children’s SSB consumption, and the potential sex difference in these associations. Methods This study included a total of 904 children and their parents enrolled from 2004 to 2011 China Health and Nutrition Survey (CHNS) cohort study. SSB consumption information was estimated using a short dietary questionnaire and total energy intake was assessed with three-day 24-h dietary assessments at recruitment and follow-up surveys. Multivariate logistic or linear regression analyses were used to assess the association for SSB consumption between parents, siblings and children after adjusting for age, body mass index (BMI) z-score, household income and parental educational level. Results In this study, a majority (87.6%) of children consumed SSB. Among them, the median consumption of SSB was 70.3 ml/day per capita and 205.4 ml/day per consumer. Parental SSB consumption was relevant to children’s SSB consumption, and this association was more pronounced in boys than in girls. Meanwhile, fathers seemed to have a stronger impact on whether children consume SSB than mothers which was reflected by lower P and higher OR. Additionally, children’s SSB intake was prospectively associated with their older siblings’ SSB consumption (Pfor trend < 0.03). Conclusions Parental and older siblings’ SSB consumption was relevant to children’s SSB intake. Particularly, boys were more susceptible to parental impact than girls, and fathers seemed to have a greater influence on children than mothers. }}, author = {{Liu, Xue-Ting and Xiong, Jing-Yuan and Xu, Yu-Jie and Zhao, Li and Libuda, Lars and Cheng, Guo}}, issn = {{1436-6207}}, journal = {{European Journal of Nutrition}}, keywords = {{Nutrition and Dietetics, Medicine (miscellaneous)}}, publisher = {{Springer Science and Business Media LLC}}, title = {{{Prospective association of family members’ sugar-sweetened beverages intake with children’s sugar-sweetened beverages consumption in China}}}, doi = {{10.1007/s00394-022-02971-3}}, 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{45809, abstract = {{AbstractTo 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. }}, 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{28879, abstract = {{Abstract Purpose 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. Methods A randomized, 2 × 2 crossover intervention study was conducted at a comprehensive school with 5th and 6th grade students. Participants (n = 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. Results 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. Conclusion 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. Clinical trial registration German Clinical Trials Register (DRKS00013597); date of registration: 16/04/2018, retrospectively registered. }}, author = {{Drozdowska, Alina and Sinningen, Kathrin and Falkenstein, Michael and Rudolf, Henrik and Libuda, Lars and Buyken, Anette E. and Lücke, Thomas and Kersting, Mathilde}}, issn = {{1436-6207}}, journal = {{European Journal of Nutrition}}, 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}}, year = {{2021}}, } @article{27007, abstract = {{Abstract Purpose To examine the association between fructose intake in adolescence and fatty liver indices (hepatic steatosis index (HSI), fatty liver index (FLI)) in young adulthood. Methods 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. Results 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 (Ptrend = 0.02) and FLI (Ptrend = 0.03). On the urinary excretion level, however, a higher FE (Ptrend = 0.03) and FE + SE (Ptrend = 0.01) in adolescence were prospectively related to higher adult FLI values. No associations were observed between adolescent sugar excretion and adult HSI. Conclusion 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. }}, 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{35303, abstract = {{Abstract Purpose 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. Methods A randomized, 2 × 2 crossover intervention study was conducted at a comprehensive school with 5th and 6th grade students. Participants (n = 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. Results 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. Conclusion 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. Clinical trial registration German Clinical Trials Register (DRKS00013597); date of registration: 16/04/2018, retrospectively registered. }}, 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}}, }