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

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 o...

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Autores principales: Vaivre-Douret, L., Hamdioui, S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cambridge University Press 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9471223/
http://dx.doi.org/10.1192/j.eurpsy.2021.257
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author Vaivre-Douret, L.
Hamdioui, S.
author_facet Vaivre-Douret, L.
Hamdioui, S.
author_sort Vaivre-Douret, L.
collection PubMed
description 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.
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spelling pubmed-94712232022-09-29 Understanding of the prevalence of depression in a sample of gifted children by identifying the developmental trajectory of risk and protective factors Vaivre-Douret, L. Hamdioui, S. Eur Psychiatry Abstract 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. Cambridge University Press 2021-08-13 /pmc/articles/PMC9471223/ http://dx.doi.org/10.1192/j.eurpsy.2021.257 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/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.
spellingShingle Abstract
Vaivre-Douret, L.
Hamdioui, S.
Understanding of the prevalence of depression in a sample of gifted children by identifying the developmental trajectory of risk and protective factors
title Understanding of the prevalence of depression in a sample of gifted children by identifying the developmental trajectory of risk and protective factors
title_full Understanding of the prevalence of depression in a sample of gifted children by identifying the developmental trajectory of risk and protective factors
title_fullStr Understanding of the prevalence of depression in a sample of gifted children by identifying the developmental trajectory of risk and protective factors
title_full_unstemmed Understanding of the prevalence of depression in a sample of gifted children by identifying the developmental trajectory of risk and protective factors
title_short Understanding of the prevalence of depression in a sample of gifted children by identifying the developmental trajectory of risk and protective factors
title_sort understanding of the prevalence of depression in a sample of gifted children by identifying the developmental trajectory of risk and protective factors
topic Abstract
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9471223/
http://dx.doi.org/10.1192/j.eurpsy.2021.257
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