The Impact of Emotion Network Density on Psychological Distress in Chinese Parents of Children with Autism: A Daily Diary Study.
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| Title: | The Impact of Emotion Network Density on Psychological Distress in Chinese Parents of Children with Autism: A Daily Diary Study. |
|---|---|
| Authors: | Wang, Hui (AUTHOR), Yan, Jia Julia (AUTHOR), Curtis, Shailey (AUTHOR), Zhao, Peiyuan (AUTHOR), Ma, Xinru (AUTHOR), Han, Zhuo Rachel (AUTHOR), Hu, Xiaoyi (AUTHOR) |
| Source: | Journal of Autism & Developmental Disorders. May2026, Vol. 56 Issue 5, p2048-2060. 13p. |
| Subjects: | Pearson correlation (Statistics), Psychological distress, Conceptual models, Data analysis, Research funding, Autism, Socioeconomic factors, Anxiety, Psychological adaptation, Structural equation modeling, Descriptive statistics, Longitudinal method, Psychology, Caregivers, Psychological stress, Statistics, Asperger's syndrome, Parents of children with disabilities, Data analysis software, Psychosocial factors, Mental depression, Regression analysis, Children |
| Geographic Terms: | China |
| Abstract: | Parents of children with autism often experience a wide range of emotions in their daily lives. However, previous research has primarily focused on average levels of emotional challenges, neglecting the significance of daily emotion dynamics that may underlie parental psychological functioning. This study adopted a dynamic network approach to examine the strength of temporal connections within and between various emotions—referred to as emotion network density—and further explore its impacts on parental psychological distress. Participants included 76 Chinese parents (M = 36.36 years, SD = 3.95 years; 58 mothers) of children with autism. Parents reported their psychological distress at baseline and then completed measures of daily emotions over a 14-day period. The densities of overall, positive, and negative emotion networks were estimated using the Multilevel Vector Auto-Regression model. The results indicated that higher densities of the overall and negative emotion networks were associated with increased stress, anxiety, and depressive symptoms in parents. Further analysis of network components showed that the in-strength of fear and guilt (i.e., their likelihood of being affected by other emotions) and the out-strength of anger and guilt (i.e., their capacity to influence other emotions) were positively related to parental psychological distress. However, neither the overall density of the positive emotion network nor its specific components showed a significant relationship with parental psychological distress. These findings highlight the importance of considering the daily dynamics of emotions, particularly negative emotions, from a network perspective to better understand the development of psychological distress in parents of children with autism. [ABSTRACT FROM AUTHOR] |
| Copyright of Journal of Autism & Developmental Disorders is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Psychology and Behavioral Sciences Collection |
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| Header | DbId: pbh DbLabel: Psychology and Behavioral Sciences Collection An: 193884040 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: The Impact of Emotion Network Density on Psychological Distress in Chinese Parents of Children with Autism: A Daily Diary Study. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Wang%2C+Hui%22">Wang, Hui</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Yan%2C+Jia+Julia%22">Yan, Jia Julia</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Curtis%2C+Shailey%22">Curtis, Shailey</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Zhao%2C+Peiyuan%22">Zhao, Peiyuan</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Ma%2C+Xinru%22">Ma, Xinru</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Han%2C+Zhuo+Rachel%22">Han, Zhuo Rachel</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Hu%2C+Xiaoyi%22">Hu, Xiaoyi</searchLink> (AUTHOR) – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Journal+of+Autism+%26+Developmental+Disorders%22">Journal of Autism & Developmental Disorders</searchLink>. May2026, Vol. 56 Issue 5, p2048-2060. 13p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Pearson+correlation+%28Statistics%29%22">Pearson correlation (Statistics)</searchLink><br /><searchLink fieldCode="DE" term="%22Psychological+distress%22">Psychological distress</searchLink><br /><searchLink fieldCode="DE" term="%22Conceptual+models%22">Conceptual models</searchLink><br /><searchLink fieldCode="DE" term="%22Data+analysis%22">Data analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Research+funding%22">Research funding</searchLink><br /><searchLink fieldCode="DE" term="%22Autism%22">Autism</searchLink><br /><searchLink fieldCode="DE" term="%22Socioeconomic+factors%22">Socioeconomic factors</searchLink><br /><searchLink fieldCode="DE" term="%22Anxiety%22">Anxiety</searchLink><br /><searchLink fieldCode="DE" term="%22Psychological+adaptation%22">Psychological adaptation</searchLink><br /><searchLink fieldCode="DE" term="%22Structural+equation+modeling%22">Structural equation modeling</searchLink><br /><searchLink fieldCode="DE" term="%22Descriptive+statistics%22">Descriptive statistics</searchLink><br /><searchLink fieldCode="DE" term="%22Longitudinal+method%22">Longitudinal method</searchLink><br /><searchLink fieldCode="DE" term="%22Psychology%22">Psychology</searchLink><br /><searchLink fieldCode="DE" term="%22Caregivers%22">Caregivers</searchLink><br /><searchLink fieldCode="DE" term="%22Psychological+stress%22">Psychological stress</searchLink><br /><searchLink fieldCode="DE" term="%22Statistics%22">Statistics</searchLink><br /><searchLink fieldCode="DE" term="%22Asperger's+syndrome%22">Asperger's syndrome</searchLink><br /><searchLink fieldCode="DE" term="%22Parents+of+children+with+disabilities%22">Parents of children with disabilities</searchLink><br /><searchLink fieldCode="DE" term="%22Data+analysis+software%22">Data analysis software</searchLink><br /><searchLink fieldCode="DE" term="%22Psychosocial+factors%22">Psychosocial factors</searchLink><br /><searchLink fieldCode="DE" term="%22Mental+depression%22">Mental depression</searchLink><br /><searchLink fieldCode="DE" term="%22Regression+analysis%22">Regression analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Children%22">Children</searchLink> – Name: SubjectGeographic Label: Geographic Terms Group: Su Data: <searchLink fieldCode="DE" term="%22China%22">China</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Parents of children with autism often experience a wide range of emotions in their daily lives. However, previous research has primarily focused on average levels of emotional challenges, neglecting the significance of daily emotion dynamics that may underlie parental psychological functioning. This study adopted a dynamic network approach to examine the strength of temporal connections within and between various emotions—referred to as emotion network density—and further explore its impacts on parental psychological distress. Participants included 76 Chinese parents (M = 36.36 years, SD = 3.95 years; 58 mothers) of children with autism. Parents reported their psychological distress at baseline and then completed measures of daily emotions over a 14-day period. The densities of overall, positive, and negative emotion networks were estimated using the Multilevel Vector Auto-Regression model. The results indicated that higher densities of the overall and negative emotion networks were associated with increased stress, anxiety, and depressive symptoms in parents. Further analysis of network components showed that the in-strength of fear and guilt (i.e., their likelihood of being affected by other emotions) and the out-strength of anger and guilt (i.e., their capacity to influence other emotions) were positively related to parental psychological distress. However, neither the overall density of the positive emotion network nor its specific components showed a significant relationship with parental psychological distress. These findings highlight the importance of considering the daily dynamics of emotions, particularly negative emotions, from a network perspective to better understand the development of psychological distress in parents of children with autism. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Journal of Autism & Developmental Disorders is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s10803-024-06674-y Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 13 StartPage: 2048 Subjects: – SubjectFull: Pearson correlation (Statistics) Type: general – SubjectFull: Psychological distress Type: general – SubjectFull: Conceptual models Type: general – SubjectFull: Data analysis Type: general – SubjectFull: Research funding Type: general – SubjectFull: Autism Type: general – SubjectFull: Socioeconomic factors Type: general – SubjectFull: Anxiety Type: general – SubjectFull: Psychological adaptation Type: general – SubjectFull: Structural equation modeling Type: general – SubjectFull: Descriptive statistics Type: general – SubjectFull: Longitudinal method Type: general – SubjectFull: Psychology Type: general – SubjectFull: Caregivers Type: general – SubjectFull: Psychological stress Type: general – SubjectFull: Statistics Type: general – SubjectFull: Asperger's syndrome Type: general – SubjectFull: Parents of children with disabilities Type: general – SubjectFull: Data analysis software Type: general – SubjectFull: Psychosocial factors Type: general – SubjectFull: Mental depression Type: general – SubjectFull: Regression analysis Type: general – SubjectFull: Children Type: general – SubjectFull: China Type: general Titles: – TitleFull: The Impact of Emotion Network Density on Psychological Distress in Chinese Parents of Children with Autism: A Daily Diary Study. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Wang, Hui – PersonEntity: Name: NameFull: Yan, Jia Julia – PersonEntity: Name: NameFull: Curtis, Shailey – PersonEntity: Name: NameFull: Zhao, Peiyuan – PersonEntity: Name: NameFull: Ma, Xinru – PersonEntity: Name: NameFull: Han, Zhuo Rachel – PersonEntity: Name: NameFull: Hu, Xiaoyi IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 05 Text: May2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 01623257 Numbering: – Type: volume Value: 56 – Type: issue Value: 5 Titles: – TitleFull: Journal of Autism & Developmental Disorders Type: main |
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