Computationally derived parent-child interaction patterns and oxytocin in children with and without OCD

IF 4.8 2区 医学 Q1 PSYCHIATRY Journal of Anxiety Disorders Pub Date : 2025-03-03 DOI:10.1016/j.janxdis.2025.102996
Anna-Rosa Cecilie Mora-Jensen , Christine Lykke Thoustrup , Eli R. Lebowitz , Julie Hagstrøm , Linea Pretzmann , Nicoline Løcke Jepsen Korsbjerg , Emilie Damløv Thorsen , Valdemar Funch Uhre , Sofie Heidenheim Christensen , Camilla Uhre , Melanie Ritter , Kerstin J. Plessen , Anne Katrine Pagsberg , Line Katrine Harder Clemmensen , Nicole Nadine Lønfeldt
{"title":"Computationally derived parent-child interaction patterns and oxytocin in children with and without OCD","authors":"Anna-Rosa Cecilie Mora-Jensen ,&nbsp;Christine Lykke Thoustrup ,&nbsp;Eli R. Lebowitz ,&nbsp;Julie Hagstrøm ,&nbsp;Linea Pretzmann ,&nbsp;Nicoline Løcke Jepsen Korsbjerg ,&nbsp;Emilie Damløv Thorsen ,&nbsp;Valdemar Funch Uhre ,&nbsp;Sofie Heidenheim Christensen ,&nbsp;Camilla Uhre ,&nbsp;Melanie Ritter ,&nbsp;Kerstin J. Plessen ,&nbsp;Anne Katrine Pagsberg ,&nbsp;Line Katrine Harder Clemmensen ,&nbsp;Nicole Nadine Lønfeldt","doi":"10.1016/j.janxdis.2025.102996","DOIUrl":null,"url":null,"abstract":"<div><h3>Background</h3><div>Parent-child interactive processes are important factors in pediatric OCD. Understanding biological mechanisms of parent-child interactive behaviors could help improve treatment of pediatric OCD. Oxytocin has been suggested as a biological mechanism in parent-child interactions. However, no studies in pediatric OCD exist. We used machine learning to discover latent patterns in parent-child interactive behaviors and explored associations with oxytocin in children with and without OCD.</div></div><div><h3>Methods</h3><div>We used parent and child salivary oxytocin levels measured with enzyme-linked immunosorbent assay (ELISA) and investigator-rated parent-child behaviors during a frustration task. Children with or without OCD and their parents – 107 mother-child and 62 father-child pairs were included. We used two machine learning techniques, principal component analysis and archetypal analysis, to generate data-driven, theory-agnostic behavioral variables, and regression to estimate their associations with oxytocin.</div></div><div><h3>Results</h3><div>Principal component and archetype analyses identified behavioral patterns describing the mother-child and father-child interactions. We found a positive association between child and mother oxytocin and the interaction patterns \"overinvolved interaction\" and \"emotional interaction\" and a negative association with \"distant interaction\". Additionally, mother oxytocin was positively associated with \"supportive interaction\" and \"varied-coping interaction\", and negatively associated with \"conflictual interaction\" and \"negative-low support interaction\". Father oxytocin was associated with “supportive interactions” only in the presence of child OCD.</div></div><div><h3>Conclusion</h3><div>Child and mother oxytocin appear related with mother-child interactive patterns. Fathers’ oxytocin was related with interaction patterns only in children with OCD. Our exploratory findings can be used to generate hypothesis for future research regarding the relationship between oxytocin and maladaptive family engagement in OCD and differences between mothers and fathers’ behaviors when the child has OCD.</div></div>","PeriodicalId":48390,"journal":{"name":"Journal of Anxiety Disorders","volume":"111 ","pages":"Article 102996"},"PeriodicalIF":4.8000,"publicationDate":"2025-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Anxiety Disorders","FirstCategoryId":"3","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0887618525000325","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"PSYCHIATRY","Score":null,"Total":0}
引用次数: 0

Abstract

Background

Parent-child interactive processes are important factors in pediatric OCD. Understanding biological mechanisms of parent-child interactive behaviors could help improve treatment of pediatric OCD. Oxytocin has been suggested as a biological mechanism in parent-child interactions. However, no studies in pediatric OCD exist. We used machine learning to discover latent patterns in parent-child interactive behaviors and explored associations with oxytocin in children with and without OCD.

Methods

We used parent and child salivary oxytocin levels measured with enzyme-linked immunosorbent assay (ELISA) and investigator-rated parent-child behaviors during a frustration task. Children with or without OCD and their parents – 107 mother-child and 62 father-child pairs were included. We used two machine learning techniques, principal component analysis and archetypal analysis, to generate data-driven, theory-agnostic behavioral variables, and regression to estimate their associations with oxytocin.

Results

Principal component and archetype analyses identified behavioral patterns describing the mother-child and father-child interactions. We found a positive association between child and mother oxytocin and the interaction patterns "overinvolved interaction" and "emotional interaction" and a negative association with "distant interaction". Additionally, mother oxytocin was positively associated with "supportive interaction" and "varied-coping interaction", and negatively associated with "conflictual interaction" and "negative-low support interaction". Father oxytocin was associated with “supportive interactions” only in the presence of child OCD.

Conclusion

Child and mother oxytocin appear related with mother-child interactive patterns. Fathers’ oxytocin was related with interaction patterns only in children with OCD. Our exploratory findings can be used to generate hypothesis for future research regarding the relationship between oxytocin and maladaptive family engagement in OCD and differences between mothers and fathers’ behaviors when the child has OCD.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
求助全文
约1分钟内获得全文 去求助
来源期刊
CiteScore
16.60
自引率
2.90%
发文量
95
期刊介绍: The Journal of Anxiety Disorders is an interdisciplinary journal that publishes research papers on all aspects of anxiety disorders for individuals of all age groups, including children, adolescents, adults, and the elderly. Manuscripts that focus on disorders previously classified as anxiety disorders such as obsessive-compulsive disorder and posttraumatic stress disorder, as well as the new category of illness anxiety disorder, are also within the scope of the journal. The research areas of focus include traditional, behavioral, cognitive, and biological assessment; diagnosis and classification; psychosocial and psychopharmacological treatment; genetics; epidemiology; and prevention. The journal welcomes theoretical and review articles that significantly contribute to current knowledge in the field. It is abstracted and indexed in various databases such as Elsevier, BIOBASE, PubMed/Medline, PsycINFO, BIOSIS Citation Index, BRS Data, Current Contents - Social & Behavioral Sciences, Pascal Francis, Scopus, and Google Scholar.
期刊最新文献
Find your rhythm and regulate: Breath-synced vibration feedback during breath-focused mindfulness reduces respiration variability in trauma-exposed adults What is the internal structure of intolerance of uncertainty? A network analysis approach "And then one day you find ten years have got behind you": Reflections on a Decade as Editor-in-Chief. Comparing structural models for internalizing pathology: Latent dimensions, classes, or a mix of both? Does intolerance of uncertainty predict child generalised anxiety? A longitudinal study
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1