scholarly journals Research Review: Neuropsychological functioning in young anorexia nervosa: A meta‐analysis

Author(s):  
Kristin Stedal ◽  
Ronny Scherer ◽  
Stephen Touyz ◽  
Phillipa Hay ◽  
Catherine Broomfield
Author(s):  
Kristin Stedal ◽  
Catherine Broomfield ◽  
Phillipa Hay ◽  
Stephen Touyz ◽  
Ronny Scherer

Author(s):  
Jochen Seitz ◽  
Katharina Bühren ◽  
Georg G. von Polier ◽  
Nicole Heussen ◽  
Beate Herpertz-Dahlmann ◽  
...  

Objective: Acute anorexia nervosa (AN) leads to reduced gray (GM) and white matter (WM) volume in the brain, which however improves again upon restoration of weight. Yet little is known about the extent and clinical correlates of these brain changes, nor do we know much about the time-course and completeness of their recovery. Methods: We conducted a meta-analysis and a qualitative review of all magnetic resonance imaging studies involving volume analyses of the brain in both acute and recovered AN. Results: We identified structural neuroimaging studies with a total of 214 acute AN patients and 177 weight-recovered AN patients. In acute AN, GM was reduced by 5.6% and WM by 3.8% compared to healthy controls (HC). Short-term weight recovery 2–5 months after admission resulted in restitution of about half of the GM aberrations and almost full WM recovery. After 2–8 years of remission GM and WM were nearly normalized, and differences to HC (GM: –1.0%, WM: –0.7%) were no longer significant, although small residual changes could not be ruled out. In the qualitative review some studies found GM volume loss to be associated with cognitive deficits and clinical prognosis. Conclusions: GM and WM were strongly reduced in acute AN. The completeness of brain volume rehabilitation remained equivocal.


2013 ◽  
Vol 17 (5) ◽  
pp. 341-347 ◽  
Author(s):  
Wytske A. Kylstra ◽  
Justine A. Aaronson ◽  
Winni F. Hofman ◽  
Ben A. Schmand

2020 ◽  
Vol 2 (7) ◽  
pp. 42-58
Author(s):  
Rosny Maidin

This systematic review article focuses on Vygotsky’s Sociocultural approach in the context of early childhood education which focuses on the teaching of learning and development that can be achieved through the sociocultural environment of students. This article is built by conducting previous studies or literature highlights to obtain information related to Vygotsky's sociocultural approach which refers to aspects of teaching-learning and student development. Meanwhile, this article reporting method uses optional reporting items for systematic study and Meta-Analysis (PRISMA) or Systematic Literature Review (SLR) article adapted for current research review while using two main databases namely Scopus and Web of Science. Thus, this search effort has resulted in a total of 26 articles that have been systematically censored and analyzed and then the survey successfully formulated the six main themes contained in Vygotsky's sociocultural approach namely, Social theme, Language theme, Process theme, Meaningful learning theme, Constructor theme- knowledge, and Artifacts. In total, further analysis of the six themes has resulted in five sub-themes. The findings of this study have delved deeper into sociocultural from Vygotsky’s perspective as a basis for child development.


Author(s):  
Peter S. Curtis ◽  
Kerrie Mengersen ◽  
Marc J. Lajeunesse ◽  
Hannah R. Rothstein ◽  
Gavin B. Stewart

This chapter discusses the data extraction process, meta-analysis database, and critical appraisal of data. The efficient and accurate extraction of data from primary studies is an important component of successful research reviews. It is one of the most time-consuming parts of a research review and should be approached with the goal of repeatability and transparency of results. Careful definition of the research question and identification of the effect size metric(s) to be used are prerequisites to efficient data extraction. The extraction spreadsheet may simply be appended to a growing database stored in a single spreadsheet (also known as “flat file database”) (e.g., Microsoft Excel, Lotus, Quattro Pro), but it may be advantageous to develop relational databases (e.g., by using Microsoft Access, Paradox or dBase software), particularly for large or complex data. During the process of data extraction the investigator also has an opportunity for critical appraisal of data quality. One approach to quantitative assessment of study quality has been the use of numerical scales in which points are assigned to specific elements of the study and summed to produce an overall quality score.


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