Hostname: page-component-586b7cd67f-rdxmf Total loading time: 0 Render date: 2024-11-22T12:50:10.987Z Has data issue: false hasContentIssue false
  • English
  • Français

Understanding of the prevalence of depression in a sample of gifted children by identifying the developmental trajectory of risk and protective factors

Published online by Cambridge University Press:  13 August 2021

L. Vaivre-Douret  and
S. Hamdioui
L. Vaivre-Douret*
Affiliation:
Division of Medicine Paris Descartes, Université de Paris, Faculty of Health, Paris, France University of Paris-Saclay, UVSQ, Villejuif, National Institute of health and Medical Research (INSERM UMR 1018-CESP), Paris, France (Institut Universitaire de France, IUF), University Institute of France, Paris, France Department of Child Psychiatry, Assistante Publique-Hôpitaux de Paris (AP-HP. Centre), Necker-Enfants Malades University hospital, Paris, France Department of Endocrinology, IMAGINE Institute, Necker-Enfants Malades Université de Paris, Paris, France
S. Hamdioui
Affiliation:
University of Paris-Saclay, UVSQ, Villejuif, National Institute of health and Medical Research (INSERM UMR 1018-CESP), Paris, France Faculty of Society and Humanity, Division of Psychology, Université de Paris, Paris, France
*
*Corresponding author.

Abstract

Core share and HTML view are not available for this content. However, as you have access to this content, a full PDF is available via the ‘Save PDF’ action button.
Introduction

Developmental studies in infancy remain rare. Studies measuring depressive symptoms in gifted children are contradictory, considering more anxiety or depression than in non-gifted children. Furthermore, questionnaires or anxiety scales are used without taking into account all aspects of mood disorders and thus, rarely depression scales have been conducted.

Objectives

To refine the developmental trajectory of depression in a national sample of French gifted children by identification of the specific risk and protective factors.

Methods

A self-reported depression scale MDI-C (Multiscore-Depression-Inventory-for-Children) were sent to families to be administered to their gifted children from preschool to high school, aged from 4 to 20 years-old (IQ >125) looking for help from gifted associations. A larger wave of data collection on different aspects of child and family history was collected (pregnancy, term and delivery mode, neonatal period, psychomotor development, health, schooling, interpersonal relationships with family and friends, personality, parental socio-economic status).

Results

438 children (> 130) were eligible. Regarding anamnestic fields, Exploratory-Factor-Analysis highlighted six predictive factors of depression with eigenvalues from 1.09 to 3.17. Major factors explaining 62.96% of total variance are: Factor-1 “motor skills disorder” (14.53%). Factor-2 “positive family relationships” (14.04%). Factor-3 “positive social relationships with peers” (14.02%). Factor-4 “integration of social codes” (11.23%). Factor-6 “Learning disabilities and rehabilitation” (10.1%).

Conclusions

Our findings highlight specifics risk factors of depression in the field of learning disabilities or social cognition, while a good quality of social relationships since childhood seems to be a preventive factor.

Disclosure

No significant relationships.

Keywords

DepressionGifted childrenMotor skills disorderLearning disabilitiesSocial relationship
Type
Abstract
Information
European Psychiatry , Volume 64 , Special Issue S1: Abstracts of the 29th European Congress of Psychiatry , April 2021 , pp. S86 - S87
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited.
Copyright
© The Author(s), 2021. Published by Cambridge University Press on behalf of the European Psychiatric Association
Submit a response

Comments

No Comments have been published for this article.