The relationships between rumination and core executive functions: A meta-analysis

2016 ◽  
Vol 34 (1) ◽  
pp. 37-50 ◽  
Author(s):  
Yingkai Yang ◽  
Songfeng Cao ◽  
Grant S. Shields ◽  
Zhaojun Teng ◽  
Yanling Liu
Keyword(s):  
Executive Functions ◽  
Meta Analysis ◽  
Core Executive

Examining the effects of household chaos on child executive functions: A meta-analysis.

2020 ◽  
Author(s):  
Krysta Andrews ◽  
Leslie Atkinson ◽  
Madeleine Harris ◽  
Andrea Gonzalez
Keyword(s):  
Executive Functions ◽  
Meta Analysis ◽  
Household Chaos

The relationship between rumination and executive functions: A meta-analysis

2017 ◽  
Vol 17 (2) ◽  
pp. 23-52 ◽  
Author(s):  
Sergiu P. Vălenaș ◽  
◽  
Aurora Szentágotai-Tătar ◽  
◽  
Keyword(s):  
Executive Functions ◽  
Meta Analysis ◽  
The Relationship

Executive functions in children with heart disease: a systematic review and meta-analysis

2021 ◽  
pp. 1-9
Author(s):  
William M. Jackson ◽  
Nicholas Davis ◽  
Johanna Calderon ◽  
Jennifer J. Lee ◽  
Nicole Feirsen ◽  
...  
Keyword(s):  
Systematic Review ◽  
Executive Functions ◽  
Data Extraction ◽  
Meta Analysis ◽  
Executive Dysfunction ◽  
Cochrane Library ◽  
Planning Problem ◽  
Healthy Controls ◽  
Cross Sectional ◽  
Increased Risk

Abstract Context: People with CHD are at increased risk for executive functioning deficits. Meta-analyses of these measures in CHD patients compared to healthy controls have not been reported. Objective: To examine differences in executive functions in individuals with CHD compared to healthy controls. Data sources: We performed a systematic review of publications from 1 January, 1986 to 15 June, 2020 indexed in PubMed, CINAHL, EMBASE, PsycInfo, Web of Science, and the Cochrane Library. Study selection: Inclusion criteria were (1) studies containing at least one executive function measure; (2) participants were over the age of three. Data extraction: Data extraction and quality assessment were performed independently by two authors. We used a shifting unit-of-analysis approach and pooled data using a random effects model. Results: The search yielded 61,217 results. Twenty-eight studies met criteria. A total of 7789 people with CHD were compared with 8187 healthy controls. We found the following standardised mean differences: −0.628 (−0.726, −0.531) for cognitive flexibility and set shifting, −0.469 (−0.606, −0.333) for inhibition, −0.369 (−0.466, −0.273) for working memory, −0.334 (−0.546, −0.121) for planning/problem solving, −0.361 (−0.576, −0.147) for summary measures, and −0.444 (−0.614, −0.274) for reporter-based measures (p < 0.001). Limitations: Our analysis consisted of cross-sectional and observational studies. We could not quantify the effect of collinearity. Conclusions: Individuals with CHD appear to have at least moderate deficits in executive functions. Given the growing population of people with CHD, more attention should be devoted to identifying executive dysfunction in this vulnerable group.

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