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Stinson EA, Sullivan RM, Navarro GY, Wallace AL, Larson CL, Lisdahl KM. Childhood adversity is associated with reduced BOLD response in inhibitory control regions amongst preadolescents from the ABCD study. Dev Cogn Neurosci 2024; 67:101378. [PMID: 38626611 PMCID: PMC11035055 DOI: 10.1016/j.dcn.2024.101378] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2023] [Revised: 03/10/2024] [Accepted: 04/08/2024] [Indexed: 04/18/2024] Open
Abstract
Adolescence is characterized by dynamic neurodevelopment, which poses opportunities for risk and resilience. Adverse childhood experiences (ACEs) confer additional risk to the developing brain, where ACEs have been associated with alterations in functional magnetic resonance imaging (fMRI) BOLD signaling in brain regions underlying inhibitory control. Socioenvironmental factors like the family environment may amplify or buffer against the neurodevelopmental risks associated with ACEs. Using baseline to Year 2 follow-up data from the Adolescent Brain Cognitive Development (ABCD) Study, the current study examined how ACEs relate to fMRI BOLD signaling during successful inhibition on the Stop Signal Task in regions associated with inhibitory control and examined whether family conflict levels moderated that relationship. Results showed that greater ACEs were associated with reduced BOLD response in the right opercular region of the inferior frontal gyrus and bilaterally in the pre-supplementary motor area, which are key regions underlying inhibitory control. Further, greater BOLD response was correlated with less impulsivity behaviorally, suggesting reduced activation may not be behaviorally adaptive at this age. No significant two or three-way interactions with family conflict levels or time were found. Findings highlight the continued utility of examining the relationship between ACEs and neurodevelopmental outcomes and the importance of intervention/prevention of ACES.
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Affiliation(s)
- Elizabeth A Stinson
- Department of Psychology, University of Wisconsin at Milwaukee, Milwaukee, WI 53201, United States
| | - Ryan M Sullivan
- Department of Psychology, University of Wisconsin at Milwaukee, Milwaukee, WI 53201, United States
| | - Gabriella Y Navarro
- Department of Psychology, University of Wisconsin at Milwaukee, Milwaukee, WI 53201, United States
| | - Alexander L Wallace
- Department of Psychiatry, University of California San Diego, La Jolla, CA 92093, United States
| | - Christine L Larson
- Department of Psychology, University of Wisconsin at Milwaukee, Milwaukee, WI 53201, United States
| | - Krista M Lisdahl
- Department of Psychology, University of Wisconsin at Milwaukee, Milwaukee, WI 53201, United States.
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2
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Sullivan ADW, Roubinov D, Noroña-Zhou AN, Bush NR. Do dyadic interventions impact biomarkers of child health? A state-of-the-science narrative review. Psychoneuroendocrinology 2024; 162:106949. [PMID: 38295654 DOI: 10.1016/j.psyneuen.2023.106949] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/30/2023] [Revised: 11/22/2023] [Accepted: 12/23/2023] [Indexed: 03/04/2024]
Abstract
BACKGROUND Early life adversity is related to numerous poor health outcomes in childhood; however, dyadic interventions that promote sensitive and responsive caregiving may protect children from the negative consequences of such exposures. To date, quasi-experimental and randomized controlled trials (RCTs) have examined the impact of dyadic interventions on a range of individual biomarkers in children, which may elucidate the relation between early stress exposure and transdiagnostic risk factors for prospective poor health. However, the content of interventions, analytic strategies, and findings vary widely across studies, obscuring key themes in the science and hindering policy and research efforts. METHODS We use a narrative approach to review findings from methodologically rigorous (predominantly RCT) studies of dyadic interventions' impacts on different biomarkers in children, including indicators of the hypothalamic-pituitary-adrenal (HPA) axis, parasympathetic (PNS) and sympathetic nervous systems (SNS), brain development, inflammation, and intracellular DNA processes. We contribute to this important area of inquiry through integrating findings across biological systems and identifying contextual and mechanistic factors to depict the current state of the field. RESULTS Evidence suggests dyadic interventions improved PNS functioning and advanced brain maturation. Some studies indicated interventions reduced hair cortisol concentrations, systemic inflammation, and resulted in differences in DNA methylation patterns. Findings did not support main effect-level change in salivary measures of HPA axis activity, SNS activity, or telomere length. Importantly, reviewed studies indicated significant heterogeneity in effects across biological systems, underscoring the importance of contextual factors (e.g., adversity subtype and severity) as potential moderators of effects. Further, findings suggested enhanced parenting behaviors may be a mechanism through which dyadic interventions operate on biomarkers. CONCLUSIONS We close with future policy and research directions, emphasizing the promise of biologically-informed dyadic interventions for understanding and ameliorating the effects of early adversity on transdiagnostic biomarkers of health.
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Affiliation(s)
- Alexandra D W Sullivan
- Department of Psychiatry and Behavioral Sciences, Center for Health and Community, Weill Institute for Neurosciences, University of California, San Francisco, USA.
| | - Danielle Roubinov
- Department of Psychiatry and Behavioral Sciences, Center for Health and Community, Weill Institute for Neurosciences, University of California, San Francisco, USA; Department of Psychiatry, University of North Carolina, Chapel Hill, USA
| | - Amanda N Noroña-Zhou
- Department of Psychiatry and Behavioral Sciences, Center for Health and Community, Weill Institute for Neurosciences, University of California, San Francisco, USA; Department of Pediatrics, Division of Developmental Medicine, UCSF, USA
| | - Nicole R Bush
- Department of Psychiatry and Behavioral Sciences, Center for Health and Community, Weill Institute for Neurosciences, University of California, San Francisco, USA; Department of Pediatrics, Division of Developmental Medicine, UCSF, USA.
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3
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Vander Ark DB. The Faces of ACEs: Case Studies for Teaching About Adverse Childhood Experiences. J Nurs Educ 2024; 63:269. [PMID: 38581711 DOI: 10.3928/01484834-20240207-11] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/08/2024]
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Espinosa Dice AL, Lawn RB, Ratanatharathorn A, Roberts AL, Denckla CA, Kim AH, de la Rosa PA, Zhu Y, VanderWeele TJ, Koenen KC. Childhood maltreatment and health in the UK Biobank: triangulation of outcome-wide and polygenic risk score analyses. BMC Med 2024; 22:135. [PMID: 38523269 PMCID: PMC10962116 DOI: 10.1186/s12916-024-03360-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/20/2023] [Accepted: 03/15/2024] [Indexed: 03/26/2024] Open
Abstract
BACKGROUND Childhood maltreatment is common globally and impacts morbidity, mortality, and well-being. Our understanding of its impact is constrained by key substantive and methodological limitations of extant research, including understudied physical health outcomes and bias due to unmeasured confounding. We address these limitations through a large-scale outcome-wide triangulation study. METHODS We performed two outcome-wide analyses (OWAs) in the UK Biobank. First, we examined the relationship between self-reported maltreatment exposure (number of maltreatment types, via Childhood Trauma Screener) and 414 outcomes in a sub-sample of 157,316 individuals using generalized linear models ("observational OWA"). Outcomes covered a broad range of health themes including health behaviors, cardiovascular disease, digestive health, socioeconomic status, and pain. Second, we examined the relationship between a polygenic risk score for maltreatment and 298 outcomes in a non-overlapping sample of 243,006 individuals ("genetic OWA"). We triangulated results across OWAs based on differing sources of bias. RESULTS Overall, 23.8% of the analytic sample for the observational OWA reported at least one maltreatment type. Of 298 outcomes examined in both OWAs, 25% were significant in both OWAs and concordant in the direction of association. Most of these were considered robust in the observational OWA according to sensitivity analyses and included outcomes such as marital separation (OR from observational OWA, ORo = 1.25 (95% CI: 1.21, 1.29); OR from genetic OWA, ORg = 1.06 (1.03, 1.08)), major diet changes due to illness (ORo = 1.27 (1.24, 1.29); ORg = 1.01 (1.00, 1.03)), certain intestinal diseases (ORo = 1.14 (1.10, 1.18); ORg = 1.03 (1.01, 1.06)), hearing difficulty with background noise (ORo = 1.11 (1.11, 1.12); ORg = 1.01 (1.00, 1.01)), knee arthrosis (ORo = 1.13 (1.09, 1.18); ORg = 1.03 (1.01, 1.05)), frequent sleeplessness (ORo = 1.21 (1.20, 1.23); ORg = 1.02 (1.01, 1.03)), and low household income (ORo = 1.28 (1.26, 1.31); ORg = 1.02 (1.01, 1.03)). Approximately 62% of results were significant in the observational OWA but not the genetic OWA, including numerous cardiovascular outcomes. Only 6 outcomes were significant in the genetic OWA and null in the observational OWA; these included diastolic blood pressure and glaucoma. No outcomes were statistically significant in opposite directions in the two analyses, and 11% were not significant in either OWA. CONCLUSIONS Our findings underscore the far-reaching negative effects of childhood maltreatment in later life and the utility of an outcome-wide triangulation design with sensitivity analyses for improving causal inference.
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Affiliation(s)
- Ana Lucia Espinosa Dice
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA.
| | - Rebecca B Lawn
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Andrew Ratanatharathorn
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Department of Epidemiology, Columbia University Mailman School of Public Health, New York City, NY, USA
| | - Andrea L Roberts
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Christy A Denckla
- Department of Social and Behavioral Sciences, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Ariel H Kim
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Department of Molecular and Cellular Biology, Harvard University, Cambridge, MA, USA
| | - Pedro A de la Rosa
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Institute for Culture and Society, University of Navarra, Pamplona, Spain
| | - Yiwen Zhu
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Tyler J VanderWeele
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Karestan C Koenen
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Department of Social and Behavioral Sciences, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Psychiatric Neurodevelopmental Genetics Unit, Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA
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McNicholas F, Twohig A. Trauma and warfare and clinicians' role. Pediatr Res 2024:10.1038/s41390-024-03124-4. [PMID: 38438556 DOI: 10.1038/s41390-024-03124-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/05/2024] [Accepted: 02/10/2024] [Indexed: 03/06/2024]
Affiliation(s)
- Fiona McNicholas
- Children's Health Ireland, Crumlin, Dublin, Ireland.
- Lucena CAMHS, Dublin, Ireland.
- School of Medicine and Medical Science, University College Dublin, Dublin, Ireland.
| | - Aoife Twohig
- Children's Health Ireland, Temple St, Dublin, Ireland
- School of Medicine, Trinity College, Dublin, Ireland
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Saba SK, Godwin J, Hong SH, Pan T, Chang Y, Brindle E, Herrenkohl TI. Associations between childhood maltreatment and physiological dysregulation in adulthood: Methodological decisions and implications. CHILD ABUSE & NEGLECT 2023; 144:106369. [PMID: 37494760 DOI: 10.1016/j.chiabu.2023.106369] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/05/2023] [Revised: 07/15/2023] [Accepted: 07/17/2023] [Indexed: 07/28/2023]
Abstract
BACKGROUND Childhood maltreatment is linked with health problems in adulthood. Theoretical models suggest that maltreatment leads to dysregulation in several bodily systems, and this has been corroborated using measures of physiological function (i.e., biomarkers). Methodological decisions involving the measurement of maltreatment and dimension reduction with respect to biomarkers (i.e., combining information across multiple measures) may influence research findings. OBJECTIVE The present study compares associations between childhood maltreatment and adult physiological dysregulation using multiple dimension reduction approaches and measures of maltreatment. PARTICIPANTS AND SETTING Participants were recruited, as children, to a prospective study of the correlates and consequences of childhood maltreatment. 253 participants were retained and provided biomarker data at midlife. Physiological dysregulation was operationalized with a conventional allostatic load approach and a novel statistical distance approach. METHODS Regression models were employed with allostatic load or statistical distance as the outcome and prospectively or retrospectively measured child maltreatment as the primary predictor. RESULTS When using allostatic load as the outcome, prospectively measured childhood maltreatment was positively associated with physiological dysregulation (b = 0.70, SE = 0.31, p = 0.02). When using statistical distance as the outcome, retrospectively measured childhood maltreatment was positively associated with physiological dysregulation (b = 0.69, SE = 0.19 p < 0.001). CONCLUSIONS We report a positive association between childhood maltreatment and physiological dysregulation at midlife. However, the significance and magnitude of effects varied with different maltreatment and physiological dysregulation measures. Further review of the methods used to study adult health conditions and their relation to childhood maltreatment is needed.
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Affiliation(s)
- Shaddy K Saba
- University of Southern California, Suzanne Dworak-Peck School of Social Work, 669 W. 34th St, Los Angeles, CA 90089, United States of America
| | - Jessica Godwin
- University of Washington, Center for Studies in Demography and Ecology, 206 Raitt Hall, Seattle, WA 98105, United States of America
| | - Sunghyun H Hong
- University of Michigan, School of Social Work, 1080 S. University Ave, Ann Arbor, MI 48109, United States of America
| | - Tiffany Pan
- University of Washington, Center for Studies in Demography and Ecology, 206 Raitt Hall, Seattle, WA 98105, United States of America
| | - Yujeong Chang
- University of Michigan, School of Social Work, 1080 S. University Ave, Ann Arbor, MI 48109, United States of America
| | - Eleanor Brindle
- PATH, 2201 Westlake Ave Suite 200, Seattle, WA 98121, United States of America
| | - Todd I Herrenkohl
- University of Michigan, School of Social Work, 1080 S. University Ave, Ann Arbor, MI 48109, United States of America.
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Rubens M, Bruenig D, Adams JAM, Suresh SM, Sathyanarayanan A, Haslam D, Shenk CE, Mathews B, Mehta D. Childhood maltreatment and DNA methylation: A systematic review. Neurosci Biobehav Rev 2023; 147:105079. [PMID: 36764637 DOI: 10.1016/j.neubiorev.2023.105079] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2022] [Revised: 01/15/2023] [Accepted: 02/04/2023] [Indexed: 02/11/2023]
Abstract
Child maltreatment (CM) encompasses sexual abuse, physical abuse, emotional abuse, neglect, and exposure to domestic and family violence. Epigenetic research investigating CM has focused on differential DNA methylation (DNAm) in genes associated with the stress response, but there has been limited evaluation of the specific effects of subtypes of CM. This systematic review of literature investigating DNAm associated with CM in non-clinical populations aimed to summarise the approaches currently used in research, how the type of maltreatment and age of exposure were encoded via methylation, and which genes have consistently been associated with CM. A total of fifty-four papers were eligible for review, including forty-one candidate gene studies, eight epigenome-wide association studies, and five studies with a mixed design. The ways in which the various forms of CM were conceptualised and measured varied between papers. Future studies would benefit from assessments that employ conceptually robust definitions of CM, and that capture important contextual information such as age of exposure and subtype of CM.
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Affiliation(s)
- Mackenzie Rubens
- Centre for Genomics and Personalised Health, Faculty of Health, Queensland University of Technology (QUT), Kelvin Grove, Queensland 4059, Australia; School of Biomedical Sciences, Faculty of Health, Queensland University of Technology (QUT), Kelvin Grove, Queensland 4059, Australia
| | - Dagmar Bruenig
- Centre for Genomics and Personalised Health, Faculty of Health, Queensland University of Technology (QUT), Kelvin Grove, Queensland 4059, Australia; School of Biomedical Sciences, Faculty of Health, Queensland University of Technology (QUT), Kelvin Grove, Queensland 4059, Australia
| | - Jessica A M Adams
- Centre for Genomics and Personalised Health, Faculty of Health, Queensland University of Technology (QUT), Kelvin Grove, Queensland 4059, Australia; School of Biomedical Sciences, Faculty of Health, Queensland University of Technology (QUT), Kelvin Grove, Queensland 4059, Australia
| | - Shruthi M Suresh
- Centre for Genomics and Personalised Health, Faculty of Health, Queensland University of Technology (QUT), Kelvin Grove, Queensland 4059, Australia; School of Biomedical Sciences, Faculty of Health, Queensland University of Technology (QUT), Kelvin Grove, Queensland 4059, Australia
| | - Anita Sathyanarayanan
- Centre for Genomics and Personalised Health, Faculty of Health, Queensland University of Technology (QUT), Kelvin Grove, Queensland 4059, Australia; School of Biomedical Sciences, Faculty of Health, Queensland University of Technology (QUT), Kelvin Grove, Queensland 4059, Australia
| | - Divna Haslam
- Australian Centre for Health Law Research, School of Law, Queensland University of Technology (QUT), Australia; Parenting and Family Support Centre, University of Queensland, Australia
| | - Chad E Shenk
- Department of Human Development and Family Studies, The Pennsylvania State University, USA; Department of Pediatrics, The Pennsylvania State University College of Medicine, USA
| | - Ben Mathews
- Australian Centre for Health Law Research, School of Law, Queensland University of Technology (QUT), Australia; Bloomberg School of Public Health, Johns Hopkins University, USA
| | - Divya Mehta
- Centre for Genomics and Personalised Health, Faculty of Health, Queensland University of Technology (QUT), Kelvin Grove, Queensland 4059, Australia; School of Biomedical Sciences, Faculty of Health, Queensland University of Technology (QUT), Kelvin Grove, Queensland 4059, Australia.
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