@article{54421,
  abstract     = {{<jats:title>Abstract</jats:title><jats:sec>
              <jats:title>Introduction</jats:title>
              <jats:p>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).</jats:p>
            </jats:sec><jats:sec>
              <jats:title>Methods</jats:title>
              <jats:p>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.</jats:p>
            </jats:sec><jats:sec>
              <jats:title>Results</jats:title>
              <jats:p>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.</jats:p>
            </jats:sec><jats:sec>
              <jats:title>Discussion/conclusion</jats:title>
              <jats:p>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.</jats:p>
            </jats:sec>}},
  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     = {{<jats:title>Abstract</jats:title><jats:sec>
              <jats:title>Purpose</jats:title>
              <jats:p>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.</jats:p>
            </jats:sec><jats:sec>
              <jats:title>Methods</jats:title>
              <jats:p>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.</jats:p>
            </jats:sec><jats:sec>
              <jats:title>Results</jats:title>
              <jats:p>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 &lt; 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.</jats:p>
            </jats:sec><jats:sec>
              <jats:title>Conclusions</jats:title>
              <jats:p>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).</jats:p>
            </jats:sec>}},
  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{54420,
  author       = {{Merz, Benedikt and Temme, Elisabeth and Alexiou, Hélène and Beulens, Joline Wilhelma Johanna and Buyken, Anette and Bohn, Torsten and Ducrot, Pauline and Falquet, Marie-Noëlle and Solano, Marta García and Haidar, Hanna and Infanger, Esther and Kühnelt, Charlotte and Rodríguez-Artalejo, Fernando and Sarda, Barthélémy and Steenbergen, Elly and Vandevijvere, Stefanie and Julia, Chantal}},
  issn         = {{2662-1355}},
  journal      = {{Nature Food}},
  number       = {{2}},
  pages        = {{102--110}},
  publisher    = {{Springer Science and Business Media LLC}},
  title        = {{{Nutri-Score 2023 update}}},
  doi          = {{10.1038/s43016-024-00920-3}},
  volume       = {{5}},
  year         = {{2024}},
}

@article{54926,
  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         = {{1436-6215}},
  journal      = {{European Journal of Nutrition}},
  publisher    = {{Springer}},
  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{54927,
  author       = {{Stutz, Bianca and Goletzke, Janina and Krueger, Bettina and Jankovic, Nicole and Alexy, Ute and Herder, Christian and Jakobsmeyer, Rasmus and Reinsberger, Claus and Buyken, Anette E.}},
  journal      = {{Appetite}},
  pages        = {{107569}},
  publisher    = {{Elsevier}},
  title        = {{{Association between glucose dips and the feeling of hunger in a dietary intervention study among students with early and late chronotype-secondary analysis of a randomized cross-over nutrition trial}}},
  doi          = {{10.1016/j.appet.2024.107569}},
  volume       = {{200}},
  year         = {{2024}},
}

@article{60176,
  abstract     = {{<jats:title>Abstract</jats:title><jats:sec><jats:title>Aim</jats:title><jats:p>To investigate the associations of the Dietary Approaches to Stop Hypertension (DASH) score with subcutaneous (SAT) and visceral (VAT) adipose tissue volume and hepatic lipid content (HLC) in people with diabetes and to examine whether changes in the DASH diet were associated with changes in these outcomes.</jats:p></jats:sec><jats:sec><jats:title>Methods</jats:title><jats:p>In total, 335 participants with recent‐onset type 1 diabetes (T1D) and type 2 diabetes (T2D) from the German Diabetes Study were included in the cross‐sectional analysis, and 111 participants in the analysis of changes during the 5‐year follow‐up. Associations between the DASH score and VAT, SAT and HLC and their changes were investigated using multivariable linear regression models by diabetes type. The proportion mediated by changes in potential mediators was determined using mediation analysis.</jats:p></jats:sec><jats:sec><jats:title>Results</jats:title><jats:p>A higher baseline DASH score was associated with lower HLC, especially in people with T2D (per 5 points: −1.5% [−2.7%; −0.3%]). Over 5 years, a 5‐point increase in the DASH score was associated with decreased VAT in people with T2D (−514 [−800; −228] cm<jats:sup>3</jats:sup>). Similar, but imprecise, associations were observed for VAT changes in people with T1D (−403 [−861; 55] cm<jats:sup>3</jats:sup>) and for HLC in people with T2D (−1.3% [−2.8%; 0.3%]). Body mass index and waist circumference changes explained 8%‐48% of the associations between DASH and VAT changes in both groups. In people with T2D, adipose tissue insulin resistance index (Adipo‐IR) changes explained 47% of the association between DASH and HLC changes.</jats:p></jats:sec><jats:sec><jats:title>Conclusions</jats:title><jats:p>A shift to a DASH‐like diet was associated with favourable VAT and HLC changes, which were partly explained by changes in anthropometric measures and Adipo‐IR.</jats:p></jats:sec>}},
  author       = {{Schaefer, Edyta and Lang, Alexander and Kupriyanova, Yuliya and Bódis, Kálmán B. and Weber, Katharina S. and Buyken, Anette and Barbaresko, Janett and Kössler, Theresa and Kahl, Sabine and Zaharia, Oana‐Patricia and Szendroedi, Julia and Herder, Christian and Schrauwen‐Hinderling, Vera B. and Wagner, Robert and Kuss, Oliver and Roden, Michael and Schlesinger, Sabrina}},
  issn         = {{1462-8902}},
  journal      = {{Diabetes, Obesity and Metabolism}},
  number       = {{10}},
  pages        = {{4281--4292}},
  publisher    = {{Wiley}},
  title        = {{{Adherence to the Dietary Approaches to Stop Hypertension (DASH) diet is associated with lower visceral and hepatic lipid content in recent‐onset type 1 diabetes and type 2 diabetes}}},
  doi          = {{10.1111/dom.15772}},
  volume       = {{26}},
  year         = {{2024}},
}

@article{57429,
  author       = {{Krueger, Bettina and Stutz, Bianca and Jakobsmeyer, Rasmus and Reinsberger, Claus and Buyken, Anette E.}},
  issn         = {{0742-0528}},
  journal      = {{Chronobiology International}},
  pages        = {{1--10}},
  publisher    = {{Informa UK Limited}},
  title        = {{{Relevance of high glycaemic index breakfast for heart rate variability among collegiate students with early and late chronotypes}}},
  doi          = {{10.1080/07420528.2024.2428203}},
  year         = {{2024}},
}

@inproceedings{48377,
  author       = {{Weber, Katharina S. and Schlesinger, Sabrina and Lang, Alexander and Straßburger, Klaus and Maalmi, Haifa and Zaharia, Oana P. and Goletzke, Janina and Buyken, Anette and Trenkamp, Sandra and Wagner, Robert and Lieb, Wolfgang and Roden, Michael and Herder, Christian}},
  booktitle    = {{Diabetologie und Stoffwechsel}},
  issn         = {{1861-9010}},
  publisher    = {{Georg Thieme Verlag}},
  title        = {{{Plant-based dietary patterns and cardiometabolic risk factors in subgroups of individuals with diabetes}}},
  doi          = {{10.1055/s-0043-1767936}},
  year         = {{2023}},
}

@article{48374,
  abstract     = {{<jats:title>Abstract</jats:title><jats:sec>
              <jats:title>Purpose</jats:title>
              <jats:p>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.</jats:p>
            </jats:sec><jats:sec>
              <jats:title>Methods</jats:title>
              <jats:p>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.</jats:p>
            </jats:sec><jats:sec>
              <jats:title>Results</jats:title>
              <jats:p>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 (HbA<jats:sub>1c</jats:sub>, 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.</jats:p>
            </jats:sec><jats:sec>
              <jats:title>Conclusion</jats:title>
              <jats:p>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.</jats:p>
            </jats:sec>}},
  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     = {{<jats:title>Abstract</jats:title><jats:sec>
              <jats:title>Purpose</jats:title>
              <jats:p>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).</jats:p>
            </jats:sec><jats:sec>
              <jats:title>Methods</jats:title>
              <jats:p>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.</jats:p>
            </jats:sec><jats:sec>
              <jats:title>Results</jats:title>
              <jats:p>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”.</jats:p>
            </jats:sec><jats:sec>
              <jats:title>Conclusion</jats:title>
              <jats:p>“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”.</jats:p>
            </jats:sec>}},
  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     = {{<jats:title>Abstract</jats:title><jats:sec>
              <jats:title>Purpose</jats:title>
              <jats:p>Our aim was to assess alignment in timing of ‘highest caloric intake’ with individual chronotype and its association with body composition in adolescents.</jats:p>
            </jats:sec><jats:sec>
              <jats:title>Methods</jats:title>
              <jats:p>We used repeatedly collected data from <jats:italic>n</jats:italic> = 196 adolescents (age 9–16 years, providing <jats:italic>N</jats:italic> = 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).</jats:p>
            </jats:sec><jats:sec>
              <jats:title>Results</jats:title>
              <jats:p>DCAS ranged from −6:42 h to + 8:01 h and was not associated with body composition. Among adolescents with a later chronotype (<jats:italic>N</jats:italic> = 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/m<jats:sup>2</jats:sup> (95% CI: 0.15, 3.69, <jats:italic>p</jats:italic> value = 0.04) over a median follow-up of 0.94 year.</jats:p>
            </jats:sec><jats:sec>
              <jats:title>Conclusion</jats:title>
              <jats:p>Alignment of energy intake with individual chronotype appears beneficial for FFMI among those with a late chronotype.</jats:p>
            </jats:sec>}},
  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}},
}

@inbook{50061,
  author       = {{Schlegel-Matthies, Kirsten}},
  booktitle    = {{Nachdenken über Lehrerinnen- und Lehrerbildung. Anregungen zur Weiterentwicklung der Pädagogischen Hochschulen in der deutschsprachigen Schweiz. Aus Anlass des 20-Jahre-Jubiläums der Pädagogischen Hochschule Luzern}},
  editor       = {{Tremp, Peter}},
  pages        = {{31 -- 34}},
  publisher    = {{Pädagogische Hochschule Luzern}},
  title        = {{{Zwischen Überwältigung und Beliebigkeit - Wertorientierung im Unterricht als Aufgabe der Lehrpersonenbildung}}},
  year         = {{2023}},
}

@article{50352,
  author       = {{Kolbaum, AE and Jung, C and Jaeger, A and Libuda, Lars and Lindtner, O}},
  issn         = {{0278-6915}},
  journal      = {{Food Chem Toxicol}},
  pages        = {{114404}},
  title        = {{{Assessment of long-term dietary cadmium exposure in children in Germany: Does consideration of data from total diet studies reduce uncertainties from food monitoring programmes?}}},
  volume       = {{184}},
  year         = {{2023}},
}

@techreport{50741,
  abstract     = {{Zitieren als: 
Wissenschaftlicher Beirat für Agrarpolitik, Ernährung und gesundheitlichen Verbraucher-
schutz beim BMEL (2023): Neue Sorgfaltspflichten für Unternehmen des Agrar- und
Ernährungssektors: Empfehlungen zu aktuellen Gesetzesentwicklungen. Gutachten. Berlin.}},
  author       = {{Spiller, Achim and Nieberg, Hiltrud and Renner, Britta and Balmann, Alfons and Birna, Regina and Bosy-Westphal, Anja and Buyken, Anette and Döring, Thomas and Feindt, Peter and Götz, Kai-Uwe and Linseisen, Jakob and Nöthlings, Ute and Martínes, José and Pischetsrieder, Monika and Voget-Kleschin, Lieske and Weingarten, Peter and Wesseler, Justus  and Wieck, Christine}},
  publisher    = {{Wissenschaftlicher Beirat für Agrarpolitik, Ernährung und gesundheitlichen Verbraucherschutz beim BMEL}},
  title        = {{{Neue Sorgfaltspflichten für Unternehmen des Agrar- und Ernährungssektors: Empfehlungen zu aktuellen Gesetzesentwicklungen}}},
  year         = {{2023}},
}

@article{55331,
  author       = {{Bünning, Jenny and Kortendiek, Beate and Radermacher, Clara and Schmidt, Uta C.}},
  journal      = {{Journal Netzwerk Frauen- und Geschlechterforschung NRW}},
  number       = {{53}},
  publisher    = {{LibreCat University}},
  title        = {{{Journal Netzwerk Frauen- und Geschlechterforschung}}},
  doi          = {{10.17185/DUEPUBLICO/81359}},
  volume       = {{2023}},
  year         = {{2023}},
}

@article{36505,
  abstract     = {{<jats:p>Young adults with a later chronotype are vulnerable for a discrepancy in sleep rhythm between work- and free days, called social jet lag (SJL). This study analysed (i) chronotype/SJL association with visceral fat/skeletal muscle mass, (ii) the attribution to physical activity behaviour, and (iii) chronotype-specific changes in physical activity behaviour in young adults during the Covid-19 pandemic lockdown. Chronotype and SJL were derived from the Munich-Chrono-Type-Questionnaire in 320 German students (age 18–25 years) from September 2019 to January 2020, 156 of these participated in an online follow-up survey in June 2020. Body composition was assessed by bioimpedance analysis at baseline. Multivariable linear regression analyses were used to relate chronotype/SJL to body composition; the contribution of self-reported physical activity was tested by mediation analysis. At baseline, a later chronotype and a larger SJL were associated with a higher visceral fat mass (P&lt;0.05), this relation was notably mediated by the attention to physical activity (P&lt;0.05). Chronotype (P = 0.02) but not SJL (P = 0.87) was inversely associated with skeletal muscle mass. During the pandemic lockdown, chronotype hardly changed, but SJL was reduced. Timing and physical activity behaviour remained in most participants and changes were unrelated to chronotype (all P&gt;0.07). A later chronotype/higher SJL may increase the risk of a higher visceral fat mass even in this relatively healthy sample, which may be partly due to their physical activity behaviour. Despite a reduction in SJL during the pandemic lockdown, later chronotypes did not change their physical activity behaviour more than earlier chronotypes.</jats:p>}},
  author       = {{Krueger, Betina and Stutz, Bianca and Jankovic, Nicole and Alexy, Ute and Kilanowski, Anna and Libuda, Lars and Buyken, Anette E.}},
  issn         = {{1932-6203}},
  journal      = {{PLOS ONE}},
  keywords     = {{Multidisciplinary}},
  number       = {{1}},
  publisher    = {{Public Library of Science (PLoS)}},
  title        = {{{The association of chronotype and social jet lag with body composition in German students: The role of physical activity behaviour and the impact of the pandemic lockdown}}},
  doi          = {{10.1371/journal.pone.0279620}},
  volume       = {{18}},
  year         = {{2023}},
}

@article{41456,
  abstract     = {{<jats:title>Abstract</jats:title><jats:sec>
              <jats:title>Background</jats:title>
              <jats:p>The German total diet study (TDS)—BfR MEAL Study—established its food list in 2016 based on food consumption data of children (0.5–&lt;5 years) and adults (14–80 years). The list consists of 356 foods selected for analysis in order to ensure ≥90% coverage of the diet. Recently, new food consumption data for children (0.5–&lt;6 and 6–&lt;12 years) in Germany became available, which raised the opportunity to evaluate the applicability of the MEAL food list 2016 on new data.</jats:p>
            </jats:sec><jats:sec>
              <jats:title>Objective</jats:title>
              <jats:p>We tested the hypotheses that the MEAL food list 2016 also covers ≥90% of the diet of the new collected food consumption data, and that the selection of foods from younger children and adults was sufficient to also cover the middle age group (6–&lt;12 years). Strategies for updating the existing food list were assessed.</jats:p>
            </jats:sec><jats:sec>
              <jats:title>Methods</jats:title>
              <jats:p>Three approaches evaluated the reusability and potential adjustment strategies of the existing food list. Approach 1 applied the existing food list to new food consumption data. Approach 2 allowed the extension of the existing food list to improve coverage of food consumption. Approach 3 set up a new food list based on the new data.</jats:p>
            </jats:sec><jats:sec>
              <jats:title>Results</jats:title>
              <jats:p>The MEAL food list 2016 covered 94% of the overall diet of the new collected food consumption data. The diet of the middle age group was sufficiently covered with 91%. However, coverage on main food group or population subgroup level was &lt;90% in some cases. Approach 3 most accurately identified relevant modifications to the existing food list. 94% of the MEAL food list 2016 could be re-used and 51 new foods were identified as potentially relevant.</jats:p>
            </jats:sec><jats:sec>
              <jats:title>Significance</jats:title>
              <jats:p>The results suggest that a high investment in the coverage of a TDS food list will lower the effort and the resources to keep data updated in the long-term.</jats:p>
            </jats:sec><jats:sec>
              <jats:title>Impact</jats:title>
              <jats:p>There is no established approach to update a TDS food list. This study provides comparative approaches to handle newly collected food consumption data for follow-on TDS activities. The results provide useful information for institutions planning or updating a TDS. Furthermore, new food consumption data for children in Germany recently became available and are here presented for the first time.</jats:p>
            </jats:sec>}},
  author       = {{Kolbaum, Anna Elena and Ptok, Sebastian and Jung, Christian and Libuda, Lars and Lindtner, Oliver}},
  issn         = {{1559-0631}},
  journal      = {{Journal of Exposure Science &amp; Environmental Epidemiology}},
  keywords     = {{Public Health, Environmental and Occupational Health, Pollution, Toxicology, Epidemiology}},
  publisher    = {{Springer Science and Business Media LLC}},
  title        = {{{Reusability of Germany´s total diet study food list upon availability of new food consumption data—comparison of three update strategies}}},
  doi          = {{10.1038/s41370-023-00522-4}},
  year         = {{2023}},
}

@article{44477,
  author       = {{Küster, Christine and Klünder, Nina and Wagenknecht, Inga}},
  issn         = {{2626-0913}},
  journal      = {{Hauswirtschaft und Wissenschaft}},
  pages        = {{1--12}},
  publisher    = {{Deutsche Gesellschaft für Hauswirtschaft e.V.}},
  title        = {{{Haushaltswissenschaft – Eine Diskussionsgrundlage}}},
  doi          = {{  10.23782/HUW_09_2023}},
  volume       = {{71}},
  year         = {{2023}},
}

@book{44524,
  editor       = {{Meier-Gräwe, Uta and Praetorius, Ina and Tecklenburg, Feline}},
  isbn         = {{9783847425922}},
  pages        = {{307}},
  publisher    = {{Verlag Barbara Budrich}},
  title        = {{{Wirtschaft neu ausrichten. Care-Initiativen in Deutschland, Österreich und der Schweiz.}}},
  year         = {{2023}},
}

@inbook{45606,
  author       = {{Freymuth, Nina}},
  booktitle    = {{Diskriminierungsprozesse und Teilhabeperspektiven - Herausforderungen für die Praxis der Inklusion. Ausgewählte Master-Thesen 2018-2022 des Masterstudiengangs "Soziale Inklusion: Gesundheit und Bildung" der Evangelischen Hochschule Rheinland-Westfalen-Lippe}},
  editor       = {{Balz, HHans-Jürgen and Huneke, Annika and Kuhlmann, Carola and Römisch, Kathrin}},
  pages        = {{22--33}},
  title        = {{{Alternative für alle? Inklusionsspezifische Analyse der AfD und ihrer Wähler*innen}}},
  year         = {{2023}},
}

