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Network Structure Reveals Clusters of Associations between Childhood Adversities and Development Outcomes

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Title: Network Structure Reveals Clusters of Associations between Childhood Adversities and Development Outcomes
Language: English
Authors: Sheridan, Margaret A. (ORCID 0000-0002-0745-4342), Shi, Feng (ORCID 0000-0001-5369-6695), Miller, Adam B. (ORCID 0000-0002-2380-1420), Salhi, Carmel, McLaughlin, Katie A. (ORCID 0000-0002-1362-2410)
Source: Developmental Science. Sep 2020 23(5).
Availability: Wiley. Available from: John Wiley & Sons, Inc. 111 River Street, Hoboken, NJ 07030. Tel: 800-835-6770; e-mail: cs-journals@wiley.com; Web site: https://www.wiley.com/en-us
Peer Reviewed: Y
Page Count: 16
Publication Date: 2020
Sponsoring Agency: National Institute of Mental Health (DHHS/NIH)
National Institute on Aging (DHHS/NIH)
Contract Number: MH103291
U24AG047867
Document Type: Journal Articles
Reports - Research
Descriptors: Child Development, Well Being, Child Health, Adolescents, Children, Stress Variables, At Risk Persons, Models, Psychopathology, Disadvantaged, Adolescent Development
DOI: 10.1111/desc.12934
ISSN: 1467-7687
Abstract: Exposure to childhood adversity is common and associated with a host of negative developmental outcomes. The most common approach used to examine the consequences of adversity exposure is a cumulative risk model. Recently, we have proposed a novel approach, the dimensional model of adversity and psychopathology (DMAP), where different dimensions of adversity are hypothesized to impact health and well-being through different pathways. We expect deprivation to primarily disrupt cognitive processing, whereas we expect threat to primarily alter emotional reactivity and automatic regulation. Recent hypothesis-driven approaches provide support for these differential associations of deprivation and threat on developmental outcomes. However, it is not clear whether these patterns would emerge using data-driven approaches. Here we use a network analytic approach to identify clusters of related adversity exposures and outcomes in an initial study (Study 1: N = 277 adolescents aged 16-17 years; 55.1% female) and a replication (Study 2: N = 262 children aged 8-16 years; 45.4% female). We statistically compare our observed clusters with our hypothesized DMAP model and a clustering we hypothesize would be the result of a cumulative stress model. In both samples we observed a network structure consistent with the DMAP model and statistically different than the hypothesized cumulative stress model. Future work seeking to identify in the pathways through which adversity impacts development should consider multiple dimensions of adversity.
Abstractor: As Provided
Notes: https://osf.io/43hfq
Entry Date: 2020
Accession Number: EJ1263698
Database: ERIC
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  Data: Network Structure Reveals Clusters of Associations between Childhood Adversities and Development Outcomes
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  Data: <searchLink fieldCode="AR" term="%22Sheridan%2C+Margaret+A%2E%22">Sheridan, Margaret A.</searchLink> (ORCID <externalLink term="https://orcid.org/0000-0002-0745-4342">0000-0002-0745-4342</externalLink>)<br /><searchLink fieldCode="AR" term="%22Shi%2C+Feng%22">Shi, Feng</searchLink> (ORCID <externalLink term="https://orcid.org/0000-0001-5369-6695">0000-0001-5369-6695</externalLink>)<br /><searchLink fieldCode="AR" term="%22Miller%2C+Adam+B%2E%22">Miller, Adam B.</searchLink> (ORCID <externalLink term="https://orcid.org/0000-0002-2380-1420">0000-0002-2380-1420</externalLink>)<br /><searchLink fieldCode="AR" term="%22Salhi%2C+Carmel%22">Salhi, Carmel</searchLink><br /><searchLink fieldCode="AR" term="%22McLaughlin%2C+Katie+A%2E%22">McLaughlin, Katie A.</searchLink> (ORCID <externalLink term="https://orcid.org/0000-0002-1362-2410">0000-0002-1362-2410</externalLink>)
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  Data: Wiley. Available from: John Wiley & Sons, Inc. 111 River Street, Hoboken, NJ 07030. Tel: 800-835-6770; e-mail: cs-journals@wiley.com; Web site: https://www.wiley.com/en-us
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  Data: National Institute of Mental Health (DHHS/NIH)<br />National Institute on Aging (DHHS/NIH)
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  Data: <searchLink fieldCode="DE" term="%22Child+Development%22">Child Development</searchLink><br /><searchLink fieldCode="DE" term="%22Well+Being%22">Well Being</searchLink><br /><searchLink fieldCode="DE" term="%22Child+Health%22">Child Health</searchLink><br /><searchLink fieldCode="DE" term="%22Adolescents%22">Adolescents</searchLink><br /><searchLink fieldCode="DE" term="%22Children%22">Children</searchLink><br /><searchLink fieldCode="DE" term="%22Stress+Variables%22">Stress Variables</searchLink><br /><searchLink fieldCode="DE" term="%22At+Risk+Persons%22">At Risk Persons</searchLink><br /><searchLink fieldCode="DE" term="%22Models%22">Models</searchLink><br /><searchLink fieldCode="DE" term="%22Psychopathology%22">Psychopathology</searchLink><br /><searchLink fieldCode="DE" term="%22Disadvantaged%22">Disadvantaged</searchLink><br /><searchLink fieldCode="DE" term="%22Adolescent+Development%22">Adolescent Development</searchLink>
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  Data: 10.1111/desc.12934
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  Data: Exposure to childhood adversity is common and associated with a host of negative developmental outcomes. The most common approach used to examine the consequences of adversity exposure is a cumulative risk model. Recently, we have proposed a novel approach, the dimensional model of adversity and psychopathology (DMAP), where different dimensions of adversity are hypothesized to impact health and well-being through different pathways. We expect deprivation to primarily disrupt cognitive processing, whereas we expect threat to primarily alter emotional reactivity and automatic regulation. Recent hypothesis-driven approaches provide support for these differential associations of deprivation and threat on developmental outcomes. However, it is not clear whether these patterns would emerge using data-driven approaches. Here we use a network analytic approach to identify clusters of related adversity exposures and outcomes in an initial study (Study 1: N = 277 adolescents aged 16-17 years; 55.1% female) and a replication (Study 2: N = 262 children aged 8-16 years; 45.4% female). We statistically compare our observed clusters with our hypothesized DMAP model and a clustering we hypothesize would be the result of a cumulative stress model. In both samples we observed a network structure consistent with the DMAP model and statistically different than the hypothesized cumulative stress model. Future work seeking to identify in the pathways through which adversity impacts development should consider multiple dimensions of adversity.
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  Data: https://osf.io/43hfq
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  Data: 2020
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      – TitleFull: Network Structure Reveals Clusters of Associations between Childhood Adversities and Development Outcomes
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