@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{27572,
  abstract     = {{<jats:p> Zusammenfassung. Genetische Varianten beeinflussen die Gewichtsregulation und die Entwicklung von Essstörungen. Zunächst haben familienbasierte, sogenannte formalgenetische Studien den erblichen Anteil an der Gewichtsregulation und an der Ätiologie von Essstörungen beleuchtet. In einer Vielzahl von Studien zeigten sich sowohl für die Varianz des Körpergewichts als auch für die Entstehung von Essstörungen Erblichkeitsschätzer (Heritabilitätsraten) von über 50 %. Mit diesem Wissen begab man sich in den 90er-Jahren des letzten Jahrhunderts auf die Suche nach den zugrundeliegenden Genen (genauer: genetischen Varianten), die das Körpergewicht, das Essverhalten oder beide Phänotypen auf Grundlage geteilter Mechanismen beeinflussen. Zunächst wurden Kandidatengenstudien durchgeführt. Dabei untersuchte man auf Grundlage unterschiedlicher, v. a. aber pathophysiologisch plausibler Überlegungen Gene mit hoher Relevanz für die untersuchten Phänotypen. Dieser Ansatz war für Essstörungen nicht sehr erfolgreich, für die Gewichtsregulation konnte eine Handvoll Gene identifiziert werden. Verbunden mit großen methodischen Fortschritten in der genetischen Forschung und v. a. der Etablierung sogenannter genomweiter Assoziationsstudien (GWAS) Anfang der 2000er-Jahre konnten bislang über 1000 Varianten/Genorte detektiert werden, die das Körpergewicht beeinflussen. Für die Essstörung Anorexia nervosa (AN) sind aktuell acht solcher Genorte beschrieben. Diese Ergebnisse, aber auch aktuelle Ansätze zu phänotypübergreifenden Analysen lassen Einblicke in die komplexe Regulation des Körpergewichtes zu und haben zudem unerwartete Pathomechanismen für AN aufgezeigt. </jats:p>}},
  author       = {{Hirtz, Raphael and Zheng, Yiran and Rajcsanyi, Luisa S. and Libuda, Lars and Antel, Jochen and Peters, Triinu and Hebebrand, Johannes and Hinney, Anke}},
  issn         = {{1422-4917}},
  journal      = {{Zeitschrift für Kinder- und Jugendpsychiatrie und Psychotherapie}},
  title        = {{{Ebenen der genetischen Analyse komplexer Phänotypen am Beispiel                     der Anorexia nervosa und der Varianz des Körpergewichts}}},
  doi          = {{10.1024/1422-4917/a000829}},
  year         = {{2021}},
}

@article{27573,
  abstract     = {{<jats:p> Zusammenfassung. Einleitung: Klassische ernährungsepidemiologische Studien (Beobachtungsstudien und randomisierte Interventionsstudien) zeigen, dass die Ernährung ein wichtiger Ansatzpunkt für die Prävention und Therapie psychischer Störungen sein könnte. Diese Studientypen haben allerdings Limitationen, die bei der Ergebnisinterpretation berücksichtigt werden müssen. In dieser narrativen übersichtsarbeit wird beschrieben, wie genetische Studien ein Bindeglied darstellen können, um einen Zusammenhang zwischen Ernährung und psychischen Störungen herzustellen. Methodik: Im Artikel werden verschiedene Ansätze genetischer phänotypübergreifender Analysen sowie Beispiele für deren Anwendungen in der ernährungspsychiatrischen Forschung beschrieben. Darüber hinaus werden spezifische Voraussetzungen sowie Stärken und Schwächen diskutiert. Ergebnisse: Als Methoden genetischer phänotypübergreifender Analysen sind im Rahmen ernährungspsychiatrischer Forschung bislang genetische Korrelationsanalysen, Look-up-Analysen sowie Mendelsche Randomisierungsstudien (MR-Studien) eingesetzt worden. Genetische Korrelationsanalysen und Look-up-Analysen geben erste Hinweise auf mögliche genetische überlappungen zwischen einer psychischen Störung und einem Stoffwechselweg und/oder der Versorgung mit einem spezifischen Nährstoff. MR-Studien sind weitergehende Detailanalysen mit dem Ziel, Kausalzusammenhänge zu identifizieren, beinhalten allerdings sehr spezifische Grundvoraussetzungen für ihre Durchführung. Schlussfolgerung: Genetische phänotypübergreifende Analysen sind eine sinnvolle Ergänzung der klassischen Ernährungsepidemiologie. Insbesondere signifikante Ergebnisse von MR-Studien sind eine wichtige Grundlage zur Entwicklung geeigneter Ernährungsinterventionen, die in nachfolgenden randomisiert kontrollierten Interventionsstudien mit deutlich erhöhter Erfolgsaussicht getestet werden können. Sie sind somit wichtige Instrumente einer effizienten ernährungspsychiatrischen Forschung. </jats:p>}},
  author       = {{Libuda, Lars and Hebebrand, Johannes and Föcker, Manuel and Peters, Triinu and Hinney, Anke}},
  issn         = {{1422-4917}},
  journal      = {{Zeitschrift für Kinder- und Jugendpsychiatrie und Psychotherapie}},
  pages        = {{1--10}},
  title        = {{{Ernährungseffekten auf der Spur – Wie die Genetik helfen kann,                     Zusammenhänge zwischen Ernährung und seelischer Gesundheit                     aufzudecken}}},
  doi          = {{10.1024/1422-4917/a000807}},
  year         = {{2021}},
}

@article{27574,
  abstract     = {{<jats:p>In adults with major depressive disorder (MDD), a dysfunction between the hypothalamus-pituitary-adrenal (HPA) and the hypothalamus-pituitary-thyroid (HPT) axis has been shown, but the interaction of both axes has not yet been studied in adolescent major depressive disorder (MDD). Data from 273 adolescents diagnosed with MDD from two single center cross-sectional studies were used for analysis. Serum levels of thyrotropin (TSH), free levothyroxine (fT4), and cortisol were determined as indicators of basal HPT and HPA axis functioning and compared to that of adolescent controls by t-tests. Quantile regression was employed in the sample of adolescents with MDD to investigate the relationship between both axes in the normal as well as the pathological range of cortisol levels, considering confounders of both axes. In adolescent MDD, cortisol levels and TSH levels were significantly elevated in comparison to controls (<jats:italic>p</jats:italic> = &amp;lt;.001, <jats:italic>d</jats:italic> = 1.35, large effect size, and <jats:italic>p</jats:italic> = &amp;lt;.001, <jats:italic>d</jats:italic> = 0.79, moderate effect size, respectively). There was a positive linear relationship between TSH and cortisol (<jats:italic>p</jats:italic> = .003, <jats:italic>d</jats:italic> = 0.25, small effect size) at the median of cortisol levels (50<jats:sup>th</jats:sup> percentile). However, no relationship between TSH and cortisol was found in hypercortisolemia (cortisol levels at the 97.5<jats:sup>th</jats:sup> percentile). These findings imply that HPT and HPA axis dysfunction is common in adolescents with MDD and that function of both axes is only loosely related. Moreover, the regulation of the HPA and HPT axis are likely subjected to age-related maturational adjustments since findings of this study differ from those reported in adults.</jats:p>}},
  author       = {{Hirtz, Raphael and Libuda, Lars and Hinney, Anke and Föcker, Manuel and Bühlmeier, Judith and Antel, Jochen and Holterhus, Paul-Martin and Kulle, Alexandra and Kiewert, Cordula and Hebebrand, Johannes and Grasemann, Corinna}},
  issn         = {{1664-2392}},
  journal      = {{Frontiers in Endocrinology}},
  title        = {{{Lack of Evidence for a Relationship Between the Hypothalamus-Pituitary-Adrenal and the Hypothalamus-Pituitary-Thyroid Axis in Adolescent Depression}}},
  doi          = {{10.3389/fendo.2021.662243}},
  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{26719,
  abstract     = {{<jats:title>Abstract</jats:title><jats:p>The interaction of acute exercise and the central nervous system evokes increasing interest in interdisciplinary research fields of neuroscience. Novel approaches allow to monitor large-scale brain networks from mobile electroencephalography (EEG) applying graph theory, but it is yet uncertain whether brain graphs extracted after exercise are reliable. We therefore aimed to investigate brain graph reliability extracted from resting state EEG data before and after submaximal exercise twice within one week in male participants. To obtain graph measures, we extracted global small-world-index (SWI), clustering coefficient (CC) and characteristic path length (PL) based on weighted phase leg index (wPLI) and spectral coherence (Coh) calculation. For reliability analysis, Intraclass-Correlation-Coefficient (ICC) and Coefficient of Variation (CoV) were computed for graph measures before (REST) and after POST) exercise. Overall results revealed poor to excellent measures at PRE and good to excellent ICCs at POST in the theta, alpha-1 and alpha-2, beta-1 and beta-2 frequency band. Based on bootstrap-analysis, a positive effect of exercise on reliability of wPLI based measures was observed, while exercise induced a negative effect on reliability of Coh-based graph measures. Findings indicate that brain graphs are a reliable tool to analyze brain networks in exercise contexts, which might be related to the neuroregulating effect of exercise inducing functional connections within the connectome. Relative and absolute reliability demonstrated good to excellent reliability after exercise. Chosen graph measures may not only allow analysis of acute, but also longitudinal studies in exercise-scientific contexts.
</jats:p>}},
  author       = {{Büchel, Daniel and Lehmann, Tim and Sandbakk, Øyvind and Baumeister, Jochen}},
  issn         = {{2045-2322}},
  journal      = {{Scientific Reports}},
  title        = {{{EEG-derived brain graphs are reliable measures for exploring exercise-induced changes in brain networks}}},
  doi          = {{10.1038/s41598-021-00371-x}},
  year         = {{2021}},
}

@article{32453,
  abstract     = {{<jats:sec><jats:title>Context:</jats:title><jats:p> Only 55% of the athletes return to competitive sports after an anterior cruciate ligament (ACL) injury. Athletes younger than 25 years who return to sports have a second injury rate of 23%. There may be a mismatch between rehabilitation contents and the demands an athlete faces after returning to sports. Current return-to-sports (RTS) tests utilize closed and predictable motor skills; however, demands on the field are different. Neurocognitive functions are essential to manage dynamic sport situations and may fluctuate after peripheral injuries. Most RTS and rehabilitation paradigms appear to lack this aspect, which might be linked to increased risk of second injury. </jats:p></jats:sec><jats:sec><jats:title>Objective:</jats:title><jats:p> This systematic and scoping review aims to map existing evidence about neurocognitive and neurophysiological functions in athletes, which could be linked to ACL injury in an integrated fashion and bring an extensive perspective to assessment and rehabilitation approaches. </jats:p></jats:sec><jats:sec><jats:title>Data Sources:</jats:title><jats:p> PubMed and Cochrane databases were searched to identify relevant studies published between 2005 and 2020 using the keywords ACL, brain, cortical, neuroplasticity, cognitive, cognition, neurocognition, and athletes. </jats:p></jats:sec><jats:sec><jats:title>Study Selection:</jats:title><jats:p> Studies investigating either neurocognitive or neurophysiological functions in athletes and linking these to ACL injury regardless of their design and technique were included. </jats:p></jats:sec><jats:sec><jats:title>Study Design:</jats:title><jats:p> Systematic review. </jats:p></jats:sec><jats:sec><jats:title>Level of Evidence:</jats:title><jats:p> Level 3. </jats:p></jats:sec><jats:sec><jats:title>Data Extraction:</jats:title><jats:p> The demographic, temporal, neurological, and behavioral data revealing possible injury-related aspects were extracted and summarized. </jats:p></jats:sec><jats:sec><jats:title>Results:</jats:title><jats:p> A total of 16 studies were included in this review. Deficits in different neurocognitive domains and changes in neurophysiological functions could be a predisposing risk factor for, or a consequence caused by, ACL injuries. </jats:p></jats:sec><jats:sec><jats:title>Conclusion:</jats:title><jats:p> Clinicians should view ACL injuries not only as a musculoskeletal but also as a neural lesion with neurocognitive and neurophysiological aspects. Rehabilitation and RTS paradigms should consider these changes for assessment and interventions after injury. </jats:p></jats:sec>}},
  author       = {{Piskin, Daghan and Benjaminse, Anne and Dimitrakis, Panagiotis and Gokeler, Alli}},
  issn         = {{1941-7381}},
  journal      = {{Sports Health: A Multidisciplinary Approach}},
  keywords     = {{Physical Therapy, Sports Therapy and Rehabilitation, Orthopedics and Sports Medicine}},
  number       = {{4}},
  pages        = {{549--555}},
  publisher    = {{SAGE Publications}},
  title        = {{{Neurocognitive and Neurophysiological Functions Related to ACL Injury: A Framework for Neurocognitive Approaches in Rehabilitation and Return-to-Sports Tests}}},
  doi          = {{10.1177/19417381211029265}},
  volume       = {{14}},
  year         = {{2021}},
}

@article{32451,
  abstract     = {{<jats:p>Athletes in team sports have to quickly visually perceive actions of opponents and teammates while executing their own movements. These continuous actions are performed under time pressure and may contribute to a non-contact ACL injury. However, ACL injury screening and prevention programmes are primarily based on standardised movements in a predictable environment. The sports environment provides much greater cognitive demand because athletes must attend their attention to numerous external stimuli and inhibit impulsive actions. Any deficit or delay in attentional processing may contribute to an inability to correct potential errors in complex coordination, resulting in knee positions that increase the ACL injury risk. In this viewpoint, we advocate that ACL injury screening should include the sports specific neurocognitive demands.</jats:p>}},
  author       = {{Gokeler, Alli and Benjaminse, Anne and Della Villa, Francesco and Tosarelli, Fillippo and Verhagen, Evert and Baumeister, Jochen}},
  issn         = {{2055-7647}},
  journal      = {{BMJ Open Sport &amp; Exercise Medicine}},
  keywords     = {{Physical Therapy, Sports Therapy and Rehabilitation, Orthopedics and Sports Medicine}},
  number       = {{2}},
  publisher    = {{BMJ}},
  title        = {{{Anterior cruciate ligament injury mechanisms through a neurocognition lens: implications for injury screening}}},
  doi          = {{10.1136/bmjsem-2021-001091}},
  volume       = {{7}},
  year         = {{2021}},
}

@article{32454,
  author       = {{Dingenen, Bart and Billiet, Bart and De Baets, Liesbet and Bellemans, Johan and Truijen, Jan and Gokeler, Alli}},
  issn         = {{1466-853X}},
  journal      = {{Physical Therapy in Sport}},
  keywords     = {{Physical Therapy, Sports Therapy and Rehabilitation, Orthopedics and Sports Medicine, General Medicine}},
  pages        = {{68--76}},
  publisher    = {{Elsevier BV}},
  title        = {{{Rehabilitation strategies of Flemish physical therapists before and after anterior cruciate ligament reconstruction: An online survey}}},
  doi          = {{10.1016/j.ptsp.2021.02.003}},
  volume       = {{49}},
  year         = {{2021}},
}

@article{32450,
  author       = {{Sherman, David A. and Lehmann, Tim and Baumeister, Jochen and Grooms, Dustin R. and Norte, Grant E.}},
  issn         = {{0014-4819}},
  journal      = {{Experimental Brain Research}},
  keywords     = {{General Neuroscience}},
  number       = {{2}},
  pages        = {{407--420}},
  publisher    = {{Springer Science and Business Media LLC}},
  title        = {{{Somatosensory perturbations influence cortical activity associated with single-limb balance performance}}},
  doi          = {{10.1007/s00221-021-06260-z}},
  volume       = {{240}},
  year         = {{2021}},
}

@article{32452,
  author       = {{Singh, Harjiv and Gokeler, Alli and Benjaminse, Anne}},
  issn         = {{2159-2896}},
  journal      = {{International Journal of Sports Physical Therapy}},
  keywords     = {{General Earth and Planetary Sciences, General Environmental Science}},
  number       = {{6}},
  publisher    = {{International Journal of Sports Physical Therapy}},
  title        = {{{Effective Attentional Focus Strategies after Anterior Cruciate Ligament Reconstruction: A Commentary}}},
  doi          = {{10.26603/001c.29848}},
  volume       = {{16}},
  year         = {{2021}},
}

@article{34481,
  abstract     = {{<jats:p><jats:bold>Background:</jats:bold> Differential learning (DL) is a motor learning method characterized by high amounts of variability during practice and is claimed to provide the learner with a higher learning rate than other methods. However, some controversy surrounds DL theory, and to date, no overview exists that compares the effects of DL to other motor learning methods.</jats:p><jats:p><jats:bold>Objective:</jats:bold> To evaluate the effectiveness of DL in comparison to other motor learning methods in the acquisition and retention phase.</jats:p><jats:p><jats:bold>Design:</jats:bold> Systematic review and exploratory meta-analysis.</jats:p><jats:p><jats:bold>Methods:</jats:bold> PubMed (MEDLINE), Web of Science, and Google Scholar were searched until February 3, 2020. To be included, (1) studies had to be experiments where the DL group was compared to a control group engaged in a different motor learning method (lack of practice was not eligible), (2) studies had to describe the effects on one or more measures of performance in a skill or movement task, and (3) the study report had to be published as a full paper in a journal or as a book chapter.</jats:p><jats:p><jats:bold>Results:</jats:bold> Twenty-seven studies encompassing 31 experiments were included. Overall heterogeneity for the acquisition phase (post-pre; <jats:italic>I</jats:italic><jats:sup>2</jats:sup> = 77%) as well as for the retention phase (retention-pre; <jats:italic>I</jats:italic><jats:sup>2</jats:sup> = 79%) was large, and risk of bias was high. The meta-analysis showed an overall small effect size of 0.26 [0.10, 0.42] in the acquisition phase for participants in the DL group compared to other motor learning methods. In the retention phase, an overall medium effect size of 0.61 [0.30, 0.91] was observed for participants in the DL group compared to other motor learning methods.</jats:p><jats:p><jats:bold>Discussion/Conclusion:</jats:bold> Given the large amount of heterogeneity, limited number of studies, low sample sizes, low statistical power, possible publication bias, and high risk of bias in general, inferences about the effectiveness of DL would be premature. Even though DL shows potential to result in greater average improvements between pre- and post/retention test compared to non-variability-based motor learning methods, more high-quality research is needed before issuing such a statement. For robust comparisons on the relative effectiveness of DL to different variability-based motor learning methods, scarce and inconclusive evidence was found.</jats:p>}},
  author       = {{Tassignon, Bruno and Verschueren, Jo and Baeyens, Jean-Pierre and Benjaminse, Anne and Gokeler, Alli and Serrien, Ben and Clijsen, Ron}},
  issn         = {{1664-1078}},
  journal      = {{Frontiers in Psychology}},
  keywords     = {{General Psychology}},
  publisher    = {{Frontiers Media SA}},
  title        = {{{An Exploratory Meta-Analytic Review on the Empirical Evidence of Differential Learning as an Enhanced Motor Learning Method}}},
  doi          = {{10.3389/fpsyg.2021.533033}},
  volume       = {{12}},
  year         = {{2021}},
}

@article{34479,
  abstract     = {{<jats:sec><jats:title>Background:</jats:title><jats:p> The incidence of anterior cruciate ligament (ACL) injuries is commonly reported as an annual incidence rate. There is relatively little information about the seasonal aspects of these injuries. The aim of the current study was to analyze the distribution of ACL injuries during the season in nonprofessional soccer, handball, and basketball based on a retrospective analysis of a hospital-based registry. </jats:p></jats:sec><jats:sec><jats:title>Hypothesis:</jats:title><jats:p> ACL injuries in soccer, handball, and basketball were more common within the first 2 months of the season in comparison with the rest of the year. </jats:p></jats:sec><jats:sec><jats:title>Study Design:</jats:title><jats:p> Case series. </jats:p></jats:sec><jats:sec><jats:title>Level of Evidence:</jats:title><jats:p> Level 4. </jats:p></jats:sec><jats:sec><jats:title>Methods:</jats:title><jats:p> Injury occurrence during the calendar year was divided into 6 periods of 2 months, with segment 1 (S1) representing the first 2 months of the season. For soccer, S1 corresponded to September and October. The season started 1 month later for handball and basketball, so S1 represented October and November. Chi-square tests were used to analyze the distribution of ACL injuries among segments according to gender, age, sports, and injury mechanism (contact/noncontact). </jats:p></jats:sec><jats:sec><jats:title>Results:</jats:title><jats:p> A total of 371 ACL injuries were included (soccer, 258, handball, 56, basketball, 57). Overall, the distribution of ACL injuries was not uniform across the segments ( P &lt; 0.01). Almost one-third of the ACL injuries occurred in S1 (n = 104; 28%). Significant differences could be observed according to sports ( P &lt; 0.01). There were fewer ACL injuries in S2 for soccer compared with basketball ( P &lt; 0.05). In S5, there were significantly more ACL injuries in soccer compared with handball and basketball ( P &lt; 0.05). </jats:p></jats:sec><jats:sec><jats:title>Conclusion:</jats:title><jats:p> A high occurrence of ACL injuries was reported immediately within the first 2 months of the season in nonprofessional soccer, handball, and basketball sports. </jats:p></jats:sec><jats:sec><jats:title>Clinical Relevance:</jats:title><jats:p> These findings indicate that ACL injury prevention programs should be started in the preseason period to allow for gradual increases of load. </jats:p></jats:sec>}},
  author       = {{Mouton, Caroline and Gokeler, Alli and Urhausen, Anouk and Nührenbörger, Christian and Seil, Romain}},
  issn         = {{1941-7381}},
  journal      = {{Sports Health: A Multidisciplinary Approach}},
  keywords     = {{Physical Therapy, Sports Therapy and Rehabilitation, Orthopedics and Sports Medicine}},
  number       = {{2}},
  pages        = {{183--187}},
  publisher    = {{SAGE Publications}},
  title        = {{{High Incidence of Anterior Cruciate Ligament Injuries Within the First 2 Months of the Season in Amateur Team Ball Sports}}},
  doi          = {{10.1177/19417381211014140}},
  volume       = {{14}},
  year         = {{2021}},
}

@article{34476,
  author       = {{Rambaud, Alexandre JM and Neri, Thomas and Dingenen, Bart and Parker, David and Servien, Elvire and Gokeler, Alli and Edouard, Pascal}},
  issn         = {{1877-0657}},
  journal      = {{Annals of Physical and Rehabilitation Medicine}},
  keywords     = {{Rehabilitation, Orthopedics and Sports Medicine}},
  number       = {{4}},
  publisher    = {{Elsevier BV}},
  title        = {{{The modifying factors that help improve anterior cruciate ligament reconstruction rehabilitation: A narrative review}}},
  doi          = {{10.1016/j.rehab.2021.101601}},
  volume       = {{65}},
  year         = {{2021}},
}

@article{26117,
  author       = {{Büchel, Daniel and Lehmann, Tim and Ullrich, Sarah and Cockcroft, John and Louw, Quinette and Baumeister, Jochen}},
  journal      = {{Experimental Brain Research}},
  number       = {{1193-1202}},
  title        = {{{Stance leg and surface stability modulate cortical activity during human single leg stance}}},
  volume       = {{239}},
  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}},
}

