@article{48486,
  abstract     = {{<jats:title>Abstract</jats:title><jats:sec><jats:title>Introduction</jats:title><jats:p>In Europe, most Internet searches for school‐related tasks are situated at home, where parents can support adolescents. Although the frequency (quantity) of parental support has already been analyzed, a research gap exists concerning the quality of parental support in adolescents' information‐related Internet use. The quality of parental support in the field of homework involvement is known to be a predictor of adolescents' learning motivation and academic achievement, often discussed with regard to self‐determination theory (SDT) in terms of autonomy support, structure, emotional support, and control. These categories were adapted in this study to analyze parents' support in adolescents' Internet searching activities.</jats:p></jats:sec><jats:sec><jats:title>Methods</jats:title><jats:p>Using a mixed‐methods approach, we combined quantitative questionnaires and qualitative observations to analyze joint information‐related Internet uses. Therefore, 243 parent–adolescent dyads were surveyed and six parent–adolescent dyads were observed by videography in 2019/2020 in Germany. The adolescents were 11 years old, on average.</jats:p></jats:sec><jats:sec><jats:title>Results</jats:title><jats:p>The parents rated all qualities higher than the adolescents. Emotional support was rated highest by both groups, whereas structure was rated lowest. Adolescents' and parents' view on parental support differ. The qualitative study revealed parents' often interfering behavior, whereas emotional support was low. Further, the active role of adolescents was highlighted in both quantitative and qualitative data.</jats:p></jats:sec><jats:sec><jats:title>Conclusions</jats:title><jats:p>By combining quantitative and qualitative approaches, we demonstrated a fruitful application of SDT in analyzing the quality of parental support during adolescents' Internet searches at home and shed light on the co‐construction of joint Internet searches.</jats:p></jats:sec>}},
  author       = {{Kurock, Ricarda and Teichert, Jeannine and Meister, Dorothee M. and Gerhardts, Lara and Buhl, Heike M. and Bonanati, Sabrina}},
  issn         = {{0140-1971}},
  journal      = {{Journal of Adolescence}},
  keywords     = {{Psychiatry and Mental health, Developmental and Educational Psychology, Social Psychology, Pediatrics, Perinatology and Child Health}},
  number       = {{3}},
  pages        = {{566--579}},
  publisher    = {{Wiley}},
  title        = {{{A mixed‐methods study of the quality of parental support during adolescents' information‐related Internet use as a co‐construction process}}},
  doi          = {{http://dx.doi.org/10.1002/jad.12264}},
  volume       = {{96}},
  year         = {{2024}},
}

@article{33382,
  author       = {{Hirtz, Raphael and Libuda, Lars and Hinney, Anke and Föcker, Manuel and Bühlmeier, Judith and Holterhus, Paul-Martin and Kulle, Alexandra and Kiewert, Cordula and Kuhnert, Ronny and Cohrdes, Caroline and Peters, Triinu and Hebebrand, Johannes and Grasemann, Corinna}},
  issn         = {{0165-0327}},
  journal      = {{Journal of Affective Disorders}},
  keywords     = {{Psychiatry and Mental health, Clinical Psychology}},
  pages        = {{103--112}},
  publisher    = {{Elsevier BV}},
  title        = {{{Age at menarche relates to depression in adolescent girls: Comparing a clinical sample to the general pediatric population}}},
  doi          = {{10.1016/j.jad.2022.08.092}},
  volume       = {{318}},
  year         = {{2022}},
}

@article{32326,
  abstract     = {{<jats:title>Abstract</jats:title><jats:p>Genetic factors are relevant for both eating disorders and body weight regulation. A recent genome-wide association study (GWAS) for anorexia nervosa (AN) detected eight genome-wide significant chromosomal loci. One of these loci, rs10747478, was also genome-wide and significantly associated with body mass index (BMI). The nearest coding gene is the Polypyrimidine Tract Binding Protein 2 gene (<jats:italic>PTBP2</jats:italic>). To detect mutations in <jats:italic>PTBP2</jats:italic>, Sanger sequencing of the coding region was performed in 192 female patients with AN (acute or recovered) and 191 children or adolescents with (extreme) obesity. Twenty-five variants were identified. Twenty-three of these were predicted to be pathogenic or functionally relevant in at least one in silico tool. Two novel synonymous variants (p.Ala77Ala and p.Asp195Asp), one intronic SNP (rs188987764), and the intronic deletion (rs561340981) located in the highly conserved region of <jats:italic>PTBP2</jats:italic> may have functional consequences. Ten of 20 genes interacting with <jats:italic>PTBP2</jats:italic> were studied for their impact on body weight regulation based on either previous functional studies or GWAS hits for body weight or BMI. In a GWAS for BMI (Pulit et al. 2018), the number of genome-wide significant associations at the <jats:italic>PTBP2</jats:italic> locus was different between males (60 variants) and females (two variants, one of these also significant in males). More than 65% of these 61 variants showed differences in the effect size pertaining to BMI between sexes (absolute value of <jats:italic>Z</jats:italic>-score &gt;2, two-sided <jats:italic>p</jats:italic> &lt; 0.05). One LD block overlapping 5′UTR and all coding regions of <jats:italic>PTBP2</jats:italic> comprises 56 significant variants in males. The analysis based on sex-stratified BMI GWAS summary statistics implies that <jats:italic>PTBP2</jats:italic> may have a more pronounced effect on body weight regulation in males than in females.</jats:p>}},
  author       = {{Zheng, Yiran and Rajcsanyi, Luisa Sophie and Herpertz-Dahlmann, Beate and Seitz, Jochen and de Zwaan, Martina and Herzog, Wolfgang and Ehrlich, Stefan and Zipfel, Stephan and Giel, Katrin and Egberts, Karin and Burghardt, Roland and Föcker, Manuel and Al-Lahham, Saad and Peters, Triinu and Libuda, Lars and Antel, Jochen and Hebebrand, Johannes and Hinney, Anke}},
  issn         = {{2158-3188}},
  journal      = {{Translational Psychiatry}},
  keywords     = {{Biological Psychiatry, Cellular and Molecular Neuroscience, Psychiatry and Mental health}},
  number       = {{1}},
  publisher    = {{Springer Science and Business Media LLC}},
  title        = {{{PTBP2 – a gene with relevance for both Anorexia nervosa and body weight regulation}}},
  doi          = {{10.1038/s41398-022-02018-5}},
  volume       = {{12}},
  year         = {{2022}},
}

@article{32327,
  abstract     = {{<jats:title>Abstract</jats:title><jats:p>There is preliminary evidence that adrenal steroids other than cortisol may be valuable biomarkers for major depressive disorder (MDD). So far, studies have been conducted in adults only, and conclusions are limited, mainly due to small sample sizes. Therefore, the present study assessed whether adrenal steroids serve as biomarkers for adolescent MDD. In 261 depressed adolescents (170 females) treated at a single psychiatric hospital, serum adrenal steroids (progesterone, 17-hydroxyprogesterone, 21-deoxycortisol, 11-deoxycortisol, cortisol, cortisone, deoxycorticosterone, corticosterone) were determined by liquid chromatography-tandem mass spectrometry. Findings were compared to that of an age- and sex-matched reference cohort (<jats:italic>N</jats:italic> = 255) by nonparametric analysis of variance. Nonparametric receiver operating characteristics (ROC) analyses were conducted to evaluate the diagnostic performance of single steroids and steroid ratios to classify depression status. Sensitivity analyses considered important confounders of adrenal functioning, and ROC results were verified by cross-validation. Compared to the reference cohort, levels of deoxycorticosterone and 21-deoxycortisol were decreased (<jats:italic>P</jats:italic> &lt; 0.001). All other glucocorticoid- and mineralocorticoid-related steroids were increased (<jats:italic>P</jats:italic> &lt; 0.001). The corticosterone to deoxycorticosterone ratio evidenced excellent classification characteristics, especially in females (AUC: 0.957; sensitivity: 0.902; specificity: 0.891). The adrenal steroid metabolome qualifies as a bio-readout reflecting adolescent MDD by a distinct steroid pattern that indicates dysfunction of the hypothalamus–pituitary–adrenal axis. Moreover, the corticosterone to deoxycorticosterone ratio may prospectively qualify to contribute to precision medicine in psychiatry by identifying those patients who might benefit from antiglucocorticoid treatment or those at risk for recurrence when adrenal dysfunction has not resolved.</jats:p>}},
  author       = {{Hirtz, Raphael and Libuda, Lars and Hinney, Anke and Föcker, Manuel and Bühlmeier, Judith and Holterhus, Paul-Martin and Kulle, Alexandra and Kiewert, Cordula and Hauffa, Berthold P. and Hebebrand, Johannes and Grasemann, Corinna}},
  issn         = {{2158-3188}},
  journal      = {{Translational Psychiatry}},
  keywords     = {{Biological Psychiatry, Cellular and Molecular Neuroscience, Psychiatry and Mental health}},
  number       = {{1}},
  publisher    = {{Springer Science and Business Media LLC}},
  title        = {{{The adrenal steroid profile in adolescent depression: a valuable bio-readout?}}},
  doi          = {{10.1038/s41398-022-01966-2}},
  volume       = {{12}},
  year         = {{2022}},
}

@article{33986,
  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}},
  keywords     = {{Psychiatry and Mental health, Clinical Psychology, General Medicine, Pediatrics, Perinatology and Child Health}},
  number       = {{3}},
  pages        = {{175--185}},
  publisher    = {{Hogrefe Publishing Group}},
  title        = {{{Ebenen der genetischen Analyse komplexer Phänotypen am Beispiel                     der Anorexia nervosa und der Varianz des Körpergewichts}}},
  doi          = {{10.1024/1422-4917/a000829}},
  volume       = {{50}},
  year         = {{2021}},
}

@article{32434,
  abstract     = {{<jats:p>Whereas initial findings have already identified cortical patterns accompanying proprioceptive deficiencies in patients after anterior cruciate ligament reconstruction (ACLR), little is known about compensatory sensorimotor mechanisms for re-establishing postural control. Therefore, the aim of the present study was to explore leg dependent patterns of cortical contributions to postural control in patients 6 weeks following ACLR. A total of 12 patients after ACLR (25.1 ± 3.2 years, 178.1 ± 9.7 cm, 77.5 ± 14.4 kg) and another 12 gender, age, and activity matched healthy controls participated in this study. All subjects performed 10 × 30 s. single leg stances on each leg, equipped with 64-channel mobile electroencephalography (EEG). Postural stability was quantified by area of sway and sway velocity. Estimations of the weighted phase lag index were conducted as a cortical measure of functional connectivity. The findings showed significant group × leg interactions for increased functional connectivity in the anterior cruciate ligament (ACL) injured leg, predominantly including fronto−parietal [<jats:italic>F</jats:italic><jats:sub>(1, 22)</jats:sub> = 8.41, <jats:italic>p</jats:italic> ≤ 0.008, η<jats:sup>2</jats:sup> = 0.28], fronto−occipital [<jats:italic>F</jats:italic><jats:sub>(1, 22)</jats:sub> = 4.43, <jats:italic>p</jats:italic> ≤ 0.047, η<jats:sup>2</jats:sup> = 0.17], parieto−motor [<jats:italic>F</jats:italic><jats:sub>(1, 22)</jats:sub> = 10.30, <jats:italic>p</jats:italic> ≤ 0.004, η<jats:sup>2</jats:sup> = 0.32], occipito−motor [<jats:italic>F</jats:italic><jats:sub>(1, 22)</jats:sub> = 5.21, <jats:italic>p</jats:italic> ≤ 0.032, η<jats:sup>2</jats:sup> = 0.19], and occipito−parietal [<jats:italic>F</jats:italic><jats:sub>(1, 22)</jats:sub> = 4.60, <jats:italic>p</jats:italic> ≤ 0.043, η<jats:sup>2</jats:sup> = 0.17] intra−hemispherical connections in the contralateral hemisphere and occipito−motor [<jats:italic>F</jats:italic><jats:sub>(1, 22)</jats:sub> = 7.33, <jats:italic>p</jats:italic> ≤ 0.013, η<jats:sup>2</jats:sup> = 0.25] on the ipsilateral hemisphere to the injured leg. Higher functional connectivity in patients after ACLR, attained by increased emphasis of functional connections incorporating the somatosensory and visual areas, may serve as a compensatory mechanism to control postural stability of the injured leg in the early phase of rehabilitation. These preliminary results may help to develop new neurophysiological assessments for detecting functional deficiencies after ACLR in the future.</jats:p>}},
  author       = {{Lehmann, Tim and Büchel, Daniel and Mouton, Caroline and Gokeler, Alli and Seil, Romain and Baumeister, Jochen}},
  issn         = {{1662-5161}},
  journal      = {{Frontiers in Human Neuroscience}},
  keywords     = {{Behavioral Neuroscience, Biological Psychiatry, Psychiatry and Mental health, Neurology, Neuropsychology and Physiological Psychology}},
  publisher    = {{Frontiers Media SA}},
  title        = {{{Functional Cortical Connectivity Related to Postural Control in Patients Six Weeks After Anterior Cruciate Ligament Reconstruction}}},
  doi          = {{10.3389/fnhum.2021.655116}},
  volume       = {{15}},
  year         = {{2021}},
}

