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Investigating multilevel pathways of developmental consequences of maltreatment

Published online by Cambridge University Press:  14 November 2018

Carrie E. DePasquale*
Affiliation:
Institute of Child Development, University of Minnesota–Twin Cities, Minneapolis, MN, USA
Elizabeth D. Handley
Affiliation:
Mt. Hope Family Center, University of Rochester, Rochester, MN, USA
Dante Cicchetti
Affiliation:
Institute of Child Development, University of Minnesota–Twin Cities, Minneapolis, MN, USA Mt. Hope Family Center, University of Rochester, Rochester, MN, USA
*
Author for correspondence: Carrie E. DePasquale, Institute of Child Development, University of Minnesota–Twin Cities, 51 E. River Road, Minneapolis, MN 55455; E-mail: depas010@umn.edu.
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Abstract

The impact of maltreatment spreads across many developmental domains and extends across the entire life span. Identifying unidirectional or bidirectional drivers of developmental cascades of the effects of maltreatment experiences is critical to efficiently employing interventions to promote resilient development in maltreated children. This 1-year longitudinal study utilized a multiple-levels approach, investigating “bottom-up” and “top-down” cascades using structural equation modeling between cortisol regulation, externalizing behavior, and peer aggression. Neither a bottom-up model driven by cortisol regulation nor a top-down model driven by peer aggression fit the data well. Instead, lower rates of externalizing behavior at Year 1 most strongly predicted improvements at all levels of analysis (reduced cortisol, externalizing behavior, and peer aggression) at Year 2. These results provide initial indication of a mechanism through which interventions for maltreated children may be most effective and result in the most substantial positive changes across developmental domains.

Information

Type
Regular Articles
Copyright
Copyright © Cambridge University Press 2018 
Figure 0

Table 1. Sample demographic information by maltreatment status

Figure 1

Table 2. Descriptive statistics for and correlations between all variables of interest

Figure 2

Figure 1. Conceptual (a) top-down model and (b) bottom-up model that was tested in focal analyses.

Figure 3

Figure 2. Final model results, a pathway through externalizing behavior. N = 315. Nonsignificant paths are indicated by dashed lines. Values are standardized beta values from the full path model. Child race was coded as a dichotomous variable where 1 = African American and 0 = other.

Figure 4

Table 3. Final model results for best fitting model through externalizing problems