Research articleChild maltreatment and depression: A meta-analysis of studies using the Childhood Trauma Questionnaire
Introduction
Depression is a significant public health concern; indeed, major depressive disorder (MDD) is the leading cause of disability worldwide (World Health Organization, 2017). Understanding the etiology of depression, in particular mutable factors that may play a causal role, is critical for reducing risk for this recurrent and debilitating disorder (Liu, 2017). Prospective studies have documented that greater adversity in childhood is associated with more chronic depression (Klein & Kotov, 2016), more severe depression (Rhebergen et al., 2012), and a longer time to remission (Fuller-Thomson, Battiston, Gadalla, & Brennenstuhl, 2014). The role of early adversity in increasing risk for the subsequent development of depression is substantial; in fact, Kessler et al. (2010) estimated that almost 25 percent of population-attributable risk is due to early adversity.
Among early adverse experiences, child maltreatment is a particularly potent risk factor for depression. Previous meta-analyses examining child maltreatment and depression have found that experiencing any form of maltreatment (treated statistically as the presence or absence of maltreatment) was associated with more than a two-fold increase in risk for depression in adulthood (Li, D’Arcy, & Meng, 2016), and with the development of chronic, or recurrent, depression (Nanni, Uher, & Danese, 2012). Although sexual abuse has received the most empirical attention (see Liu, 2017), it is noteworthy that different types of maltreatment frequently co-occur (Petersen, Joseph, & Feit, 2014). Thus, rather than focus on a single type of maltreatment, it is important to characterize the relation between different types of child maltreatment and depression. This perspective is supported by the emerging theory that early experiences that are characterized by threat (e.g., abuse) have different effects on the emergence of psychopathology than do early experiences characterized by a lack of species-expected input (e.g., neglect; Humphreys & Zeanah, 2015). Further, although physical, sexual, and emotional abuse have all been linked to depression (Mullen, Martin, Anderson, Romans, & Herbison, 1996), their different prevalence rates (Edwards, Holden, Felitti, & Anda, 2003), and their differential links to depressogenic features (e.g., low self-esteem following emotional abuse; Mullen et al., 1996), underscore the importance of careful examination of different forms of maltreatment with depression.
Previous meta-analyses examining the association between maltreatment and depression are informative. However, while important, all are limited either by small numbers of available studies (e.g., 8 for Li et al., 2016; 12 for Infurna et al., 2016; 16 for Nanni et al., 2012) or by considerable variability in how child maltreatment was operationalized (e.g., Norman et al., 2012), which limits comparisons across studies. Given that different definitions, informants, and thresholds for characterizing maltreatment are likely to result in different patterns of findings, there is value in prioritizing the meta-analysis of studies that use a common measure to assess maltreatment. In one such example, Infurna et al. (2016) conducted a meta-analysis of studies using the Childhood Experience of Care and Abuse interview (CECA; Bifulco, Brown, & Harris, 1994). They also restricted their inclusion criteria to studies that required a clinical diagnosis of depression. This increased confidence in their conclusions has a trade-off, which is that only 12 studies met inclusion criteria; this limited their ability to conduct moderator analyses. Moreover, experiences of maltreatment, as well as characterization of depression, may better be considered along a dimension (i.e., people vary in the severity of their maltreatment experiences [Humphreys & Zeanah, 2015; King, Humphreys, & Gotlib, 2019; McLaughlin, Sheridan, & Lambert, 2014] and depression can be represented both dimensionally and categorically [Ruscio & Ruscio, 2000]).
Thus, we sought to meta-analyze studies that assessed maltreatment experiences on a continuous scale using the Childhood Trauma Questionnaire (CTQ; Bernstein et al., 2003; Bernstein & Fink, 1998). The CTQ is the most widely used measure of this construct; it has been shown to have acceptable internal consistency, test-retest reliability, and strong convergence with interviews that assess child trauma (Bernstein et al., 1994). The CTQ assesses five types of maltreatment experiences (i.e., emotional abuse, physical abuse, sexual abuse, emotional neglect, and physical neglect) using a Likert-scale approach to assess the severity of each type of experience. By assessing maltreatment using a dimensional approach, and by using a single assessment measure (i.e., the CTQ), our meta-analysis maximizes consistency in the measurement of child maltreatment and increases confidence in the effect size estimates in relation to depression; moreover, this meta-analysis includes the largest set of studies and number of unique participants assessed using a single measure to date. Further, unlike prior meta-analyses that vary in the forms of maltreatment that were considered in their assessments, our approach allows us not only to probe associations between depression and overall maltreatment, but also to assess specific types of maltreatment measured at the same time using the same scale. Such an approach will yield insight into whether models indicating that the type of maltreatment or deviation from an expectable environment are differentially associated with depression (including neglect versus abuse; see Humphreys & Zeanah, 2015; McLaughlin & Sheridan, 2016; McLaughlin et al., 2014; or emotional maltreatment versus physical or sexual maltreatment). Finally, by including studies that examined depression using either a group-based approach (e.g., diagnoses) or a continuous approach (e.g., depression symptom scores), we can examine the strength and specificity using two widely used approaches to the assessment of depression.
Section snippets
Study selection
Each study satisfied the following inclusion criteria: (a) dimensional measurement of child maltreatment using the CTQ (either the long or short form); (b) dichotomous or dimensional assessment of depression; and (c) available data to calculate effect sizes (i.e., standardized mean difference in studies examining depression group and Z in studies examining depression scores).
Search procedure
We used several strategies, outlined in the PRISMA flowchart (Fig. 1), to identify the 190 journal articles with 192
Results
Table 1 presents descriptive information for each included study, including details of demographic and methodological moderators coded and outcomes obtained. Extracted and coded data is available and can be obtained by emailing the lead author.
Discussion
In this paper we report the results of a meta-analysis of 192 unique samples from 190 studies, consisting of 68,830 individuals, conducted to test whether child maltreatment was associated with depression diagnosis and symptom scores in adulthood. This is the largest study examining the association between child maltreatment and depression using a single measure of maltreatment, increasing our confidence in the strength of the observed effect sizes. Across both methods of assessing depressive
Acknowledgements
This work was supported by the National Institutes of Health (R37-MH101495 to IHG and F32-MH107129 to KLH), the Stanford Precision Health and Integrated Diagnostics (PHIND) Center to IHG, the Brain & Behavior Research Foundation (NARSAD Young Investigator [23819 to KLH and 22337 to JL]), the Social Sciences and Humanities Research Council (430-2017-00408 to JL), the Canadian Institute of Health Research (389703 to JL), the Klingenstein Third Generation Foundation Fellowship (to KLH), and the
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