Research Review: Neuropsychological functioning in young anorexia nervosa: A meta-analysis

被引:16
作者
Stedal, Kristin [1 ]
Scherer, Ronny [2 ]
Touyz, Stephen [3 ]
Hay, Phillipa [4 ]
Broomfield, Catherine [3 ]
机构
[1] Univ Oslo, Reg Dept Eating Disorders, Div Mental Hlth & Addict, Hosp Oslo Ulleval, Oslo, Norway
[2] Univ Oslo, Ctr Educ Measurement, Fac Educ Sci, Univ Oslo CEMO, Oslo, Norway
[3] Univ Sydney, Fac Sci, Sch Psychol, Sydney, NSW, Australia
[4] Western Sydney Univ, Translat Hlth Res Inst, Penrith, NSW, Australia
关键词
Anorexia nervosa; eating disorder; neuropsychology; meta-analysis; machine learning; EATING-DISORDERS; EXECUTIVE FUNCTIONS; PERFORMANCE; ADOLESCENTS; PREVALENCE; DIVERSITY; COHERENCE; CHILDREN; CULTURE; TRENDS;
D O I
10.1111/jcpp.13562
中图分类号
B844 [发展心理学(人类心理学)];
学科分类号
040202 ;
摘要
Background Cognitive inflexibility and compulsive behaviours are commonly observed in patients with anorexia nervosa (AN) and are often considered to be caused by impairments in executive functioning and visuospatial processing. Despite an increasing number of young individuals presenting with AN, there is a lack of meta-analytic evidence on the neuropsychological functioning in this population. Our primary aim was to review and synthesize the differences in neuropsychological test performance between young people with AN and healthy controls, and to explore potential moderators. Methods A database search following PRISMA guidelines of MEDLINE, PsycINFO, ISI Web of Science and Epistemonikos was conducted. Hedges' g served as an effect size indicating the standardized mean differences. We utilized mixed-effects meta-regression and machine learning meta-analyses to identify relevant moderators. Results Sixteen studies met the inclusion criteria with a total of 1333 participants (665 with AN) and 59 effect sizes. Random-effects meta-analyses demonstrated a small and insignificant difference between young individuals with AN and controls (g over bar = -0.144, 95% CI [-0.328, 0.041]) in overall neuropsychological functioning. However, the difference was significant for the cognitive domains of memory, working memory and visuospatial abilities. Moderator and machine-learning analyses revealed a stronger negative effect in older participants and moderator effects of country and assessment quality. Conclusions Our findings highlight the significant impact of age on neuropsychological test performance in patients with AN. There is a need for a more widespread inclusion of potentially confounding variables in primary studies as well as instruments specifically targeted at younger populations.
引用
收藏
页码:616 / 625
页数:10
相关论文
共 57 条
[1]   Research Review: Neuropsychological test performance in pediatric obsessive-compulsive disorder - a meta-analysis [J].
Abramovitch, Amitai ;
Abramowitz, Jonathan S. ;
Mittelman, Andrew ;
Stark, Abigail ;
Ramsey, Kesley ;
Geller, Daniel A. .
JOURNAL OF CHILD PSYCHOLOGY AND PSYCHIATRY, 2015, 56 (08) :837-847
[2]  
[Anonymous], 2000, Diagnostic and statistical manual of mental disorders: DSM-5, V4th, DOI [10.1176/appi.books.9780890425596, DOI 10.1176/APPI.BOOKS.9780890425596]
[3]   OPERATING CHARACTERISTICS OF A BANK CORRELATION TEST FOR PUBLICATION BIAS [J].
BEGG, CB ;
MAZUMDAR, M .
BIOMETRICS, 1994, 50 (04) :1088-1101
[4]  
Bernstein J.H., 1990, NEUROMETHODS, P311, DOI [DOI 10.1385/0-89603-133-0:311, 10.1385/0896031330, DOI 10.1385/0896031330]
[5]   A Developmental Perspective on Executive Function [J].
Best, John R. ;
Miller, Patricia H. .
CHILD DEVELOPMENT, 2010, 81 (06) :1641-1660
[6]  
Borenstein M., 2009, Introduction to meta-analysis
[7]   The Neuropsychological Profile of Severe and Enduring Anorexia Nervosa: A Systematic Review [J].
Broomfield, Catherine ;
Stedal, Kristin ;
Touyz, Stephen .
FRONTIERS IN PSYCHOLOGY, 2021, 12
[8]   Executive functioning and central coherence in anorexia nervosa: Pilot investigation of a neurocognitive endophenotype [J].
Brown, Melanie ;
Loeb, Katharine L. ;
McGrath, Robert E. ;
Tiersky, Lana ;
Zucker, Nancy ;
Carlin, Amanda .
EUROPEAN EATING DISORDERS REVIEW, 2018, 26 (05) :489-498
[9]  
Cheung MWL, 2015, Meta-Analysis: A Structural Equation Modeling Approach, P1, DOI 10.1002/9781118957813
[10]  
Cribari-Neto F, 2010, J STAT SOFTW, V34, P1