The Quality of Mother–Child Feeding Interactions Predicts Psychopathological Symptoms in Offspring and Mothers Seven Years Later: A Longitudinal Study on the General Population

Author:

Cimino Silvia1,Andrei Federica2,De Pascalis Leonardo2ORCID,Trombini Elena2,Tambelli Renata1,Cerniglia Luca3ORCID

Affiliation:

1. Department of Dynamic and Clinical Psychology, Sapienza University of Rome, 00161 Rome, Italy

2. Department of Psychology “Renzo Canestrari”, Alma Mater Studiorum, University of Bologna, 40126 Bologna, Italy

3. Faculty of Psychology, International Telematic University Uninettuno, 00186 Rome, Italy

Abstract

The increased risk of internalizing and externalizing symptoms in children has been observed in the presence of maternal psychopathology. This study aimed to investigate a potential pathway involving the quality of early interactions between mothers and their children. A sample of 150 mother–child dyads underwent assessment when the children were 3 years old and around the age of 10. Video recordings of feeding exchanges between mothers and children were analyzed to evaluate the quality of mother–child interactions. Maternal psychopathology and child internalizing and externalizing symptoms were measured through self-report and report-form measures completed by mothers. The quality of mother–child feeding interactions at three years of age significantly differentiated (p < 0.001), eight years later, between mothers at high and low psychopathological risk and between children exhibiting clinical and subclinical internalizing symptoms. Clinically relevant child symptoms were notably more prevalent when the mother–child interaction quality at three years of age was maladaptive, particularly in the context of concurrent high maternal psychopathological risk. The study findings underscore the importance of focusing on the early quality of mother–child feeding interactions to identify potential situations of maternal and child clinical risk for the development of psychopathological symptoms and to guide preemptive measures and policies.

Publisher

MDPI AG

Subject

General Medicine

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3