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 |
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| Language: | English |
| Authors: | Sheridan, Margaret A. (ORCID |
| 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 |
| 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. |
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| ISSN: | 1467-7687 |
| DOI: | 10.1111/desc.12934 |
