Differential associations of threat and deprivation with emotion regulation and cognitive control in adolescence
Open accessAbstract
Research on childhood adversity has traditionally focused on single types of adversity, which is limited because of high co-occurrence, or on the total number of adverse experiences, which assumes that diverse experiences influence development similarly. Identifying dimensions of environmental experience that are common to multiple types of adversity may be a more effective strategy. We examined the unique associations of two such dimensions (threat and cognitive deprivation) with automatic emotion regulation and cognitive control using a multivariate approach that simultaneously examined both dimensions of adversity. Data were drawn from a community sample of adolescents ( N = 287) with variability in exposure to violence, an indicator of threat, and poverty, which is associated with cognitive deprivation. Adolescents completed tasks measuring automatic emotion regulation and cognitive control in neutral and emotional contexts. Violence was associated with automatic emotion regulation deficits, but not cognitive control; poverty was associated with poor cognitive control, but not automatic emotion regulation. Both violence and poverty predicted poor inhibition in an emotional context. Utilizing an approach focused on either single types of adversity or cumulative risk obscured specificity in the associations of violence and poverty with emotional and cognitive outcomes. These findings suggest that different dimensions of childhood adversity have distinct influences on development and highlight the utility of a differentiated multivariate approach.
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Different forms of childhood trauma, abuse versus neglect, can have differential biological and neurofunctional impacts.
“different forms of CT, abuse versus neglect, can have differential biological and neurofunctional impacts (29–32)”
From Impact of Childhood Trauma on Executive Function in Adolescence—Mediating Functional Brain Networks and Prediction of High-Risk Drinking (2020) · cites this paper as [30]
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- Authors
- Lambert, H. K., King, K. M., Monahan, K. C., & McLaughlin, K. A.
- Affiliations
- University of Washington (US)
- University of Pittsburgh (US)
- Corresponding author
- Lambert, Hilary K.
- Venue
- Development and Psychopathology
- Publisher
- Cambridge University Press (CUP)
- Published
- 2016-07-18
- Volume
- 29
- Issue
- 3
- Pages
- 929-940
- ISSN
- 0954-5794 (ISSN-L)
- 1469-2198
- PMC
- PMC5243929
- OpenAlex
- W2485543562
- Cited by
- 267
- References
- 69
- Citations by year
- 2026: 31 · 2025: 34 · 2024: 39 · 2023: 32 · 2022: 36 · 2021: 28 · 2020: 35 · 2019: 24 · 2018: 3 · 2017: 3 · 2016: 2
- FWCI
- 14.27
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Development and Psychopathology (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- ResearchWorks at the University of Washington (University of Washington) (submittedVersion)
- Funders
- National Institute of Mental Health (K01MH092526, R01MH103291, R01MH106482)
- Topics
- Social Sciences › Psychology › Clinical Psychology › Child Abuse and Trauma
- Social Sciences › Psychology › Clinical Psychology › Child and Adolescent Psychosocial and Emotional Development
- Social Sciences › Psychology › Clinical Psychology › Resilience and Mental Health
- Keywords
- childhood adversity, threats, poverty, violence exposure, automatic emotion regulation, cognitive control, inhibition, emotional context, adolescence, cumulative risk
- MeSH terms
- Adolescent, Psychology, Adolescent, Cognition, Emotions, Female, Humans, Male, Poverty, Violence, Executive Function
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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