Keyword search (4,163 papers available)

"Functions" Keyword-tagged Publications:

Title Authors PubMed ID
1 Auditory Training for Everyday Functioning in Later Life Li KZH; Campos J; Pichora-Fuller MK; 41036263
PSYCHOLOGY
2 Functions of Informal Subgroups in Relation to Work Groups and Group Effectiveness Sidorenkov AV; Borokhovski EF; 40459704
CONCORDIA
3 Correlations of pilot trainees brainwave dynamics with subjective performance evaluations: insights from EEG microstate analysis Zhao M; Law A; Su C; Jennings S; Bourgon A; Jia W; Larose MH; Bowness D; Zeng Y; 40109507
ENCS
4 Attention, working memory, and inhibitory control in aging: Comparing amateur singers, instrumentalists, and active controls Joyal M; Sicard A; Penhune V; Jackson PL; Tremblay P; 39367878
PSYCHOLOGY
5 Comparative Analysis of the Functions Work Groups and Informal Subgroups Carry out in Relation to their Members: The Essence, Conditions of Implementation, Effects, and Dysfunctions Sidorenkov AV; Borokhovski EF; 38492193
CONCORDIA
6 Childhood hyperactivity, eating behaviours, and executive functions: Their association with the development of eating-disorder symptoms in adolescence Dufour R; Breton É; Morin AJS; Côté SM; Dubois L; Vitaro F; Boivin M; Tremblay RE; Booij L; 37833803
PSYCHOLOGY
7 Theory of mind development: State of the science and future directions. Poulin-Dubois D 32859285
PSYCHOLOGY
8 Diagonalization of the finite Hilbert transform on two adjacent intervals: the Riemann-Hilbert approach Bertola M; Blackstone E; Katsevich A; Tovbis A; 32684912
MATHSTATS
9 Effects of Dance/Movement Training vs. Aerobic Exercise Training on cognition, physical fitness and quality of life in older adults: A randomized controlled trial. Esmail A, Vrinceanu T, Lussier M, Predovan D, Berryman N, Houle J, Karelis A, Grenier S, Minh Vu TT, Villalpando JM, Bherer L 31987547
PERFORM

 

Title:Childhood hyperactivity, eating behaviours, and executive functions: Their association with the development of eating-disorder symptoms in adolescence
Authors:Dufour RBreton ÉMorin AJSCôté SMDubois LVitaro FBoivin MTremblay REBooij L
Link:https://pubmed.ncbi.nlm.nih.gov/37833803/
DOI:10.1186/s40337-023-00902-z
Publication:Journal of eating disorders
Keywords:AdolescenceChildhood eatingEating disordersExecutive functionsHyperactivity
PMID:37833803 Category: Date Added:2023-10-14
Dept Affiliation: PSYCHOLOGY

Description:

Background: Cross-sectional studies have shown that hyperactivity and impaired executive functioning are associated with symptoms of eating disorders in adolescence and adulthood. Whether hyperactivity and executive functions in early life can prospectively predict the emergence of eating disorder symptoms in adolescence remains unknown. The present study relies on a longitudinal design to investigate how hyperactivity at age 3, eating behaviours at age 3.5 and cognition at ages 3-6 were associated with the development of eating-disorder symptoms from 12 to 20 years old.

Methods: Using archival data collected since 1997 from the Quebec Longitudinal Study of Child Development cohort (N = 2, 223), we used Latent Curve Models to analyse predictors of youth's trajectories of eating-disorder symptoms at four timepoints.

Results: A quadratic (curvilinear) trajectory of eating-disorder symptoms was found to be most representative of the data. Higher hyperactivity at age 3 was associated with higher levels of eating-disorder symptoms at age 12, and this association was partially mediated by higher levels of overeating and cognitive inflexibility in childhood. Cognitive inflexibility in childhood also mediated the association between hyperactivity at age 3 and increases in eating-disorder symptoms during adolescence. Furthermore, working memory was indirectly related to eating-disorder symptoms via the mediational role of cognitive flexibility.

Conclusions: Hyperactivity, overeating, cognitive inflexibility, and working memory early in life might precede the onset of eating-disorder symptoms in adolescence. Early behavioural and cognitive screening may help to identify children who are most at risk for eating disorders. This, in turn, could guide preventive interventions.





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