Hostname: page-component-74656f9884-npj9w Total loading time: 0 Render date: 2026-11-09T03:42:15.605Z Has data issue: false hasContentIssue false
  • English
  • Français

Prior differences in previous trauma exposure primarily drive the observed racial/ethnic differences in posttrauma depression and anxiety following a recent trauma

Published online by Cambridge University Press:  31 January 2022

N. G. Harnett ,
N. M. Dumornay ,
M. Delity ,
L. D. Sanchez ,
K. Mohiuddin ,
P. I. Musey Jr. ,
M. J. Seamon ,
S. A. McLean Open the ORCID record for S. A. McLean [Opens in a new window] ,
R. C. Kessler  and
K. C. Koenen
...Show all authors
N. G. Harnett*
Affiliation:
Division of Depression and Anxiety, McLean Hospital, Belmont, MA 02478, USA Department of Psychiatry, Harvard Medical School, Boston, MA 02115, USA
N. M. Dumornay
Affiliation:
Division of Depression and Anxiety, McLean Hospital, Belmont, MA 02478, USA
M. Delity
Affiliation:
Division of Depression and Anxiety, McLean Hospital, Belmont, MA 02478, USA
L. D. Sanchez
Affiliation:
Department of Emergency Medicine, Brigham and Women's Hospital, Boston, MA 02115, USA Department of Emergency Medicine, Harvard Medical School, Boston, MA 02115, USA
K. Mohiuddin
Affiliation:
Department of Emergency Medicine, Einstein Medical Center, Philadelphia, PA 19141, USA
P. I. Musey Jr.
Affiliation:
Department of Emergency Medicine, Indiana University School of Medicine, Indianapolis, IN 46202, USA
M. J. Seamon
Affiliation:
Department of Surgery, Division of Traumatology, Surgical Critical Care and Emergency Surgery, University of Pennsylvania, Pennsylvania, PA 19104, USA
S. A. McLean
Affiliation:
Department of Emergency Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC 27559, USA Department of Anesthesiology, University of North Carolina at Chapel Hill, Chapel Hill, NC 27559, USA
R. C. Kessler
Affiliation:
Department of Health Care Policy, Harvard Medical School, Boston, MA 02115, USA
K. C. Koenen
Affiliation:
Department of Epidemiology, Harvard T.H. Chan School of Public Health, Harvard University, Boston, MA 02115, USA
F. L. Beaudoin
Affiliation:
Department of Emergency Medicine & Department of Health Services, Policy, and Practice, The Alpert Medical School of Brown University, Rhode Island Hospital and The Miriam Hospital, Providence, RI 02930, USA
L. A. M. Lebois
Affiliation:
Division of Depression and Anxiety, McLean Hospital, Belmont, MA 02478, USA Department of Psychiatry, Harvard Medical School, Boston, MA 02115, USA
S. J. H. van Rooij
Affiliation:
Department of Psychiatry and Behavioral Sciences, Emory University School of Medicine, Atlanta, GA 30332, USA
N. A. Sampson
Affiliation:
Department of Health Care Policy, Harvard Medical School, Boston, MA 02115, USA
V. Michopoulos
Affiliation:
Department of Psychiatry and Behavioral Sciences, Emory University School of Medicine, Atlanta, GA 30332, USA
J. L. Maples-Keller
Affiliation:
Department of Psychiatry and Behavioral Sciences, Emory University School of Medicine, Atlanta, GA 30332, USA
J. P. Haran
Affiliation:
Department of Emergency Medicine, University of Massachusetts Medical School, Worcester, MA 01655, USA
A. B. Storrow
Affiliation:
Department of Emergency Medicine, Vanderbilt University Medical Center, Nashville, TN 37232, USA
C. Lewandowski
Affiliation:
Department of Emergency Medicine, Henry Ford Health System, Detroit, MI 48202, USA
P. L. Hendry
Affiliation:
Department of Emergency Medicine, University of Florida College of Medicine-Jacksonville, Jacksonville, FL 32209, USA
S. Sheikh
Affiliation:
Department of Emergency Medicine, University of Florida College of Medicine-Jacksonville, Jacksonville, FL 32209, USA
C. W. Jones
Affiliation:
Department of Emergency Medicine, Cooper Medical School of Rowan University, Camden, NJ 08103, USA
B. E. Punches
Affiliation:
Department of Emergency Medicine, University of Cincinnati College of Medicine, Cincinnati, OH 45267, USA College of Nursing, University of Cincinnati, Cincinnati, OH 45221, USA
M. C. Kurz
Affiliation:
Department of Emergency Medicine, University of Alabama School of Medicine, Birmingham, AL 35294, USA Department of Surgery, Division of Acute Care Surgery, University of Alabama School of Medicine, Birmingham, AL 35294, USA Center for Injury Science, University of Alabama at Birmingham, Birmingham, AL 35294, USA
R. A. Swor
Affiliation:
Department of Emergency Medicine, Oakland University William Beaumont School of Medicine, Rochester, MI 48309, USA
M. E. McGrath
Affiliation:
Department of Emergency Medicine, Boston Medical Center, Boston, MA 02118, USA
L. A. Hudak
Affiliation:
Department of Emergency Medicine, Emory University School of Medicine, Atlanta, GA 30329, USA
J. L. Pascual
Affiliation:
Department of Surgery, Department of Neurosurgery, University of Pennsylvania, Pennsylvania, PA 19104, USA Perelman School of Medicine, University of Pennsylvania, Pennsylvania, PA 19104, USA
S. L. House
Affiliation:
Department of Emergency Medicine, Washington University School of Medicine, St. Louis, MO 63130, USA
X. An
Affiliation:
Department of Anesthesiology, Institute for Trauma Recovery, University of North Carolina at Chapel Hill, Chapel Hill, NC 27559, USA
J. S. Stevens
Affiliation:
Department of Psychiatry and Behavioral Sciences, Emory University School of Medicine, Atlanta, GA 30329, USA
T. C. Neylan
Affiliation:
Departments of Psychiatry and Neurology, University of California San Francisco, San Francisco, CA 94143, USA
T. Jovanovic
Affiliation:
Department of Psychiatry and Behavioral Neurosciences, Wayne State University, Detroit, MI 48202, USA
S. D. Linnstaedt
Affiliation:
Department of Anesthesiology, Institute for Trauma Recovery, University of North Carolina at Chapel Hill, Chapel Hill, NC 27559, USA
L. T. Germine
Affiliation:
Department of Psychiatry, Harvard Medical School, Boston, MA 02115, USA Institute for Technology in Psychiatry, McLean Hospital, Belmont, MA 02478, USA
E. M. Datner
Affiliation:
Department of Emergency Medicine, Einstein Healthcare Network, Pennsylvania, PA 19141, USA Department of Emergency Medicine, Sidney Kimmel Medical College, Thomas Jefferson University, Pennsylvania, PA 19107, USA
A. M. Chang
Affiliation:
Department of Emergency Medicine, Jefferson University Hospitals, Pennsylvania, PA 19107, USA
C. Pearson
Affiliation:
Department of Emergency Medicine, Wayne State University, Detroit, MA 48202, USA
D. A. Peak
Affiliation:
Department of Emergency Medicine, Massachusetts General Hospital, Boston, MA 02114, USA
R. C. Merchant
Affiliation:
Department of Emergency Medicine, Brigham and Women's Hospital, Boston, MA 02115, USA
R. M. Domeier
Affiliation:
Department of Emergency Medicine, Saint Joseph Mercy Hospital, Ypsilanti, MI 48197, USA
N. K. Rathlev
Affiliation:
Department of Emergency Medicine, University of Massachusetts Medical School-Baystate, Springfield, MA 01107, USA
B. J. O'Neil
Affiliation:
Department of Emergency Medicine, Wayne State University, Detroit, MA 48202, USA
P. Sergot
Affiliation:
Department of Emergency Medicine, McGovern Medical School, University of Texas Health, Houston, TX 77030, USA
S. E. Bruce
Affiliation:
Department of Psychological Sciences, University of Missouri – St. Louis, St. Louis, MO 63121, USA
M. W. Miller
Affiliation:
National Center for PTSD, Behavioral Science Division, VA Boston Healthcare System, Boston, MA 02130, USA Department of Psychiatry, Boston University School of Medicine, Boston, MA 02118, USA
R. H. Pietrzak
Affiliation:
National Center for PTSD, Clinical Neurosciences Division, VA Connecticut Healthcare System, West Haven, CT 06516, USA Department of Psychiatry, Yale School of Medicine, West Haven, CT 06510, USA
J. Joormann
Affiliation:
Department of Psychology, Yale University, West Haven, CT 06520, USA
D. M. Barch
Affiliation:
Department of Psychological & Brain Sciences, Washington University in St. Louis, St. Louis, MO 63130, USA
D. A. Pizzagalli
Affiliation:
Division of Depression and Anxiety, McLean Hospital, Belmont, MA 02478, USA Department of Psychiatry, Harvard Medical School, Boston, MA 02115, USA
J. F. Sheridan
Affiliation:
Department of Biosciences, OSU Wexner Medical Center, Columbus, OH 43210, USA Institute for Behavioral Medicine Research, OSU Wexner Medical Center, Columbus, OH 43211, USA
J. W. Smoller
Affiliation:
Department of Psychiatry, Psychiatric and Neurodevelopmental Genetics Unit, Massachusetts General Hospital, Boston, MA 02114, USA Stanley Center for Psychiatric Research, Broad Institute, Cambridge, MA 02142, USA
B. Luna
Affiliation:
Affiliation Laboratory of Neurocognitive Development, University of Pittsburgh Medical Center – Western Psychiatric Hospital, Pittsburgh, PA 15213, USA
S. E. Harte
Affiliation:
Department of Anesthesiology, University of Michigan Medical School, Ann Arbor, MI 48109, USA Department of Internal Medicine-Rheumatology, University of Michigan Medical School, Ann Arbor, MI 48109, USA
J. M. Elliott
Affiliation:
The Kolling Institute, University of Sydney, St Leonards, New South Wales 2065, Australia Faculty of Medicine and Health, University of Sydney, Camperdown, New South Wales 2006, Australia Physical Therapy & Human Movement Sciences, Feinberg School of Medicine, Northwestern University, Chicago, IL 60208, USA
K. J. Ressler
Affiliation:
Division of Depression and Anxiety, McLean Hospital, Belmont, MA 02478, USA Department of Psychiatry, Harvard Medical School, Boston, MA 02115, USA
*
Author for correspondence: Nathaniel G. Harnett, E-mail: nharnett@mclean.harvard.edu
Rights & Permissions [Opens in a new window]

Abstract

Background

Racial and ethnic groups in the USA differ in the prevalence of posttraumatic stress disorder (PTSD). Recent research however has not observed consistent racial/ethnic differences in posttraumatic stress in the early aftermath of trauma, suggesting that such differences in chronic PTSD rates may be related to differences in recovery over time.

Methods

As part of the multisite, longitudinal AURORA study, we investigated racial/ethnic differences in PTSD and related outcomes within 3 months after trauma. Participants (n = 930) were recruited from emergency departments across the USA and provided periodic (2 weeks, 8 weeks, and 3 months after trauma) self-report assessments of PTSD, depression, dissociation, anxiety, and resilience. Linear models were completed to investigate racial/ethnic differences in posttraumatic dysfunction with subsequent follow-up models assessing potential effects of prior life stressors.

Results

Racial/ethnic groups did not differ in symptoms over time; however, Black participants showed reduced posttraumatic depression and anxiety symptoms overall compared to Hispanic participants and White participants. Racial/ethnic differences were not attenuated after accounting for differences in sociodemographic factors. However, racial/ethnic differences in depression and anxiety were no longer significant after accounting for greater prior trauma exposure and childhood emotional abuse in White participants.

Conclusions

The present findings suggest prior differences in previous trauma exposure partially mediate the observed racial/ethnic differences in posttraumatic depression and anxiety symptoms following a recent trauma. Our findings further demonstrate that racial/ethnic groups show similar rates of symptom recovery over time. Future work utilizing longer time-scale data is needed to elucidate potential racial/ethnic differences in long-term symptom trajectories.

Keywords

Disparitiesethnicityracetraumaanxietydepression

Information

Type
Original Article
Information
Psychological Medicine , Volume 53 , Issue 6 , April 2023 , pp. 2553 - 2562
Check for updates
Copyright
Copyright © The Author(s), 2022. Published by Cambridge University Press

Introduction

Psychiatric illness prevalence within the USA, particularly trauma and stress-related disorders, varies by racial and ethnic groups. While racial and ethnic categories are not true biological divisions in humans, individuals are racialized into these groups by virtue of their societal systems which in turn affect mental health. For example, Black individuals typically show lower rates of internalizing disorders such as posttraumatic stress disorder (PTSD), anxiety, and depression compared to White individuals (Breslau et al., Reference Breslau, Aguilar-Gaxiola, Kendler, Su, Williams and Kessler2006; Kessler et al., Reference Kessler, Berglund, Demler, Jin, Merikangas and Walters2005). Although the prior work highlights race-related differences in the prevalence of posttraumatic dysfunction, limited work to date has investigated racial/ethnic differences in symptoms that present in the early aftermath of trauma. Recent research demonstrates peritraumatic responses to traumatic events may be indicative of later chronic dysfunction or may map onto other discernable trajectories of trauma recovery/deterioration (Bonanno & Mancini, Reference Bonanno and Mancini2012; Galatzer-Levy et al., Reference Galatzer-Levy, Ankri, Freedman, Israeli-Shalev, Roitman, Gilad and Shalev2013; Shalev et al., Reference Shalev, Gevonden, Ratanatharathorn, Laska, van der Mei, Qi and van Zuiden2019). There is a paucity of research on potential racial/ethnic variability in peritraumatic responses or the trajectories of trauma symptoms in the first several months after trauma which may impact the generalizability or accuracy of predictive models of susceptibility to posttraumatic disorders. The purpose of the present analysis is to characterize potential racial/ethnic differences in the trajectories of trauma-related disorder symptoms in the early aftermath of trauma.

Prior epidemiological data suggest that White individuals report greater exposure to any traumatic event and childhood physical abuse compared to Black or Hispanic individuals (Roberts, Gilman, Breslau, Breslau, & Koenen, Reference Roberts, Gilman, Breslau, Breslau and Koenen2011). Exposure to prior traumatic events is a major predictor of subsequent PTSD development following a later trauma and thus may be related to greater rates of PTSD in White individuals (Gould et al., Reference Gould, Harvey, Hodgins, Jones, Michopoulos, Maples-Keller and Nemeroff2021). However, global epidemiological data highlight that the type of prior traumatic event (such as violence victimization) also influences subsequent PTSD development (Kessler et al., Reference Kessler, Aguilar-Gaxiola, Alonso, Bromet, Gureje, Karam and Zaslavsky2018; Liu et al., Reference Liu, Petukhova, Sampson, Aguilar-Gaxiola, Alonso, Andrade and Wojtyniak2017). Importantly, Black and Hispanic individuals generally experience more childhood adversities, community violence exposure, and exposure to other environmental inequities that impact health (Maguire-Jack, Lanier, & Lombardi, Reference Maguire-Jack, Lanier and Lombardi2019; Sheats et al., Reference Sheats, Irving, Mercy, Simon, Crosby, Ford and Morgan2018; Slopen et al., Reference Slopen, Shonkoff, Albert, Yoshikawa, Jacobs, Stoltz and Williams2016; Williams & Collins, Reference Williams and Collins2001; Williams, Mohammed, Leavell, & Collins, Reference Williams, Mohammed, Leavell and Collins2010). Further, Black individuals often have less wealth and lower income compared to White individuals and higher income may afford access to systems that can attenuate the consequences of traumatic events (e.g. healthcare access) and buffer against the financial and social consequences of trauma (Cook, Trinh, Li, Hou, & Progovac, Reference Cook, Trinh, Li, Hou and Progovac2017; Herring & Henderson, Reference Herring and Henderson2016; Yearby, Reference Yearby2018). As discussed, these types of traumatic experiences are also associated with high conditional risk of PTSD after experiencing a subsequent trauma (Powers, Fani, Cross, Ressler, & Bradley, Reference Powers, Fani, Cross, Ressler and Bradley2016; Yehuda, Halligan, & Grossman, Reference Yehuda, Halligan and Grossman2001). Thus, the on-average greater disadvantage experienced by minority group individuals may contribute to greater posttraumatic dysfunction. However, racial/ethnic minority groups generally report a lower prevalence of PTSD (Breslau et al., Reference Breslau, Aguilar-Gaxiola, Kendler, Su, Williams and Kessler2006; Kessler et al., Reference Kessler, Berglund, Demler, Jin, Merikangas and Walters2005), and thus non-White individuals may in fact show reduced severity of posttraumatic dysfunction in the early aftermath of trauma compared to white individuals. Limited work to date, however, has investigated racial/ethnic differences in posttraumatic symptoms in the early aftermath of trauma.

There is some ambiguity as to whether greater resilience to posttraumatic dysfunction may be present in non-White individuals in the aftermath of trauma (Muralidharan, Austern, Hack, & Vogt, Reference Muralidharan, Austern, Hack and Vogt2016). Some exposures more often experienced by Black and Latinx individuals (e.g. chronic neighborhood disadvantage) are not captured well within the DSM-5 conceptualization of trauma and may be related to lower reports of PTSD-related symptoms. However, a component of commonly reported lower PTSD prevalence rates may be due to underreporting of symptoms in epidemiological surveys or lower healthcare availability or utilization in minority racial groups that impacts survey participation (Cook et al., Reference Cook, Trinh, Li, Hou and Progovac2017; Miranda, McGuire, Williams, & Wang, Reference Miranda, McGuire, Williams and Wang2008). These may partially explain why some prior research has observed higher rates of undiagnosed PTSD in disadvantaged Black individuals (Davis, Ressler, Schwartz, Stephens, & Bradley, Reference Davis, Ressler, Schwartz, Stephens and Bradley2008; Parto, Evans, & Zonderman, Reference Parto, Evans and Zonderman2011). In addition, a recent report demonstrated that racial discrimination experienced by Black individuals was a risk factor for future PTSD symptom development after trauma (Bird et al., Reference Bird, Webb, Schramm, Torres, Larson and deRoon-Cassini2021). Thus, race-related stressors may also exacerbate racial/ethnic differences in early PTSD symptoms.

Early prior research from the AURORA study, a multisite longitudinal study of posttraumatic outcomes (McLean et al., Reference McLean, Ressler, Koenen, Neylan, Germine, Jovanovic and Linnstaedt2020), has identified factors associated with the expression of PTSD and depression symptoms in the early aftermath of trauma such as peritraumatic distress and dissociation, or neurophysiological responses (Harnett et al., Reference Harnett, van Rooij, Ely, Lebois, Murty, Jovanovic and Stevens2021; Joormann et al., Reference Joormann, McLean, Beaudoin, An, Stevens, Zeng and Kessler2020; Kessler et al., Reference Kessler, Ressler, House, Beaudoin, An, Stevens and McLean2021; Steuber et al., Reference Steuber, Seligowski, Roeckner, Reda, Lebois, van Rooij and Stevens2021). Interestingly, the early AURORA work did not identify robust racial/ethnic differences in posttraumatic symptoms within the first 2–8 weeks after trauma. We note however that the prior work did not investigate racial/ethnic variation in posttraumatic stress in further time points (e.g. 3 months after trauma exposure) or potential relationships with structural inequities and prior trauma exposure. Given the dissociation between racial/ethnic variability in posttraumatic stress in the early v. long-term aftermath of trauma, it may be that differences in symptom expression over time start to emerge in later time points (e.g. 3 months posttrauma); however, potential differences in symptom expression have not been examined as of yet. Thus, potential racial/ethnic differences in early trauma outcomes remain unclear. Characterizing potential racial/ethnic differences in posttraumatic syndromes over the first several months after trauma is necessary for the development of precision medicine approaches to identify individuals susceptible to long-term posttraumatic dysfunction.

Therefore, to investigate racial/ethnic differences in posttraumatic symptoms in the first 3 months after a traumatic event, we analyzed data from the AURORA study. We first compared 2-week, 8-week, and 3-month indices of posttraumatic dysfunction (i.e. PTSD, depression, anxiety, or dissociation symptoms) between White, Black, and Hispanic groups. Based on prior literature, we hypothesized that Black and Hispanic individuals would show lower symptoms of posttraumatic dysfunction over time compared to White individuals. We then examined if controlling for demographic cofactors (e.g. income and employment) contributed to observed racial differences in posttraumatic symptoms. Finally, we completed follow-up analyses investigating the effect of childhood trauma and other prior traumatic events on observed racial differences in posttraumatic symptoms. The present findings provide insight into the impact of race/ethnic-related differences in pretraumatic stressors on traumatic stress reactions in the aftermath of trauma.

Materials and methods

Participants

Data from the present analyses were obtained as part of the Freeze 2 psychometric data release of the AURORA Study, a multisite longitudinal study of adverse neuropsychiatric sequelae. Details of the larger AURORA project are described elsewhere (McLean et al., Reference McLean, Ressler, Koenen, Neylan, Germine, Jovanovic and Linnstaedt2020). Briefly, trauma-exposed participants were recruited from emergency departments (EDs, n = 29) from across the USA. Trauma was defined as a medical accident requiring admission to the ED, and participants who experienced events such as a motor vehicle collision, high fall (>10 feet), physical assault, sexual assault, or mass casualty incidents were automatically included in the study. Other trauma exposures were also qualifying if: (a) the individual responded to a screener question that they experienced the exposure as involving actual or threatened serious injury, sexual violence, or death, either by direct exposure, witnessing, or learning about the trauma and (b) the research assistant agreed that the exposure was a plausible qualifying event. Trauma was a necessary inclusion criterion for the present study, and no participants without trauma were included. The psychometric data included 1618 participants recruited between 09/25/2017 and 06/31/2019, however the present analyses were focused on racial/ethnic differences in the posttraumatic outcomes. Thus, we excluded participants who did not have data on posttraumatic dysfunction (i.e. PTSD, depression, anxiety, dissociation, or resilience symptoms) across all timepoints (n = 645). Participants self-reported their race/ethnicity and were coded into four categories of ‘Hispanic’ (‘Hispanic’; n = 106), ‘non-Hispanic White’ (‘White’; n = 314), ‘non-Hispanic Black’ (‘Black’; n = 510), and ‘non-Hispanic other-race’ (‘Other’; n = 43). For the present analyses, we also excluded participants from the ‘other’ racial category due to small sample size that may impact statistical analyses. In total, 930 participants had completed the assessments of all measures of posttraumatic dysfunction at the three timepoints and were included in the present analyses (Table 1). A breakdown of the broad class of trauma types experienced by each group is presented in online Supplementary Table S1. Note that there were no significant differences in the racial/ethnic make-up of the included v. excluded sample [χ2 (2) =2.34, p = 0.31]. All participants gave written informed consent as approved by each study site's Institutional Review Board.

Table 1.

Sample demographics

Note: M, mean; s.d., standard deviation; ED, emergency department; percentages±1% from 100% due to rounding error.

Demographic and psychometric data collection

Participant demographic data were collected after admission to the ED which included participant marital status, income, education level, employment, and medication administered within the ED (see online Supplementary Table S2 for medication and online Supplementary Table S3 for full demographic category breakdowns). After discharge, participants' posttraumatic symptoms were assessed at 2 weeks, 8 weeks, and 3 months after trauma exposure (described below). The 2-week assessment queried participant symptoms in the past 14 days while the 8-week and 3-month assessments queried participant symptoms in the past 30 days. Participants also completed retrospective reports within the ED (past 30 days prior to the trauma) of posttraumatic dysfunction symptoms.

Measures of posttraumatic dysfunction

Participants' posttraumatic dysfunction was assessed in terms of PTSD, depression, anxiety, and dissociation symptoms. PTSD symptoms were assessed using the PTSD Checklist for DSM-5 (PCL-5) (Weathers et al., Reference Weathers, Litz, Keane, Palmieri, Marx and Schnurr2013b), a 20-item self-report questionnaire on symptom expression and severity. Depression symptoms were assessed using the Patient-Reported Outcomes Measurement Information System (PROMIS) Depression instrument from the PROMIS short form 8b (Pilkonis et al., Reference Pilkonis, Choi, Reise, Stover, Riley and Cella2011). T-scores were derived from total responses to eight items scored on a Likert scale from 1 (never) to 5 (always). Anxiety symptoms were assessed using four items from the PROMIS Anxiety Bank (Pilkonis et al., Reference Pilkonis, Choi, Reise, Stover, Riley and Cella2011). Participants rated how often they felt anxious, worried about things, had trouble relaxing, or felt tense on a scale of 1 (none of the time) to 5 (all or almost all of the time) and the responses were summed to create a total anxiety score. Dissociation was assessed using a modified version of the Brief Dissociative Experiences Survey (Bernstein Carlson & Putnam, Reference Bernstein Carlson and Putnam1993). Participants were asked to rate how often they felt that people, objects, or the world around them seemed unreal and how often they felt they were looking through a fog so that people and things seemed unclear on a scale from 1 (none of the time) to 5 (all or almost all of the time). The sum of the two questions was used as an index of dissociation severity. As a contrast to the measures of posttraumatic symptoms, we also assessed participants' psychological resilience using the Connor Davidson Resilience Scale (CD-RISC) (Connor & Davidson, Reference Connor and Davidson2003).

Prior trauma exposure

Prior trauma was assessed using the Life Events Checklist version 5 (LEC-5) (Weathers et al., Reference Weathers, Blake, Schnurr, Kaloupek, Marx and Keane2013a). The checklist assessed prior exposure to traumatic events such as natural disasters, accidents, assaults, etc., that: (a) happened directly to the participant, (b) were witnessed by the participant, (c) the participant learned what happened to someone close to them, or (d) the participant was exposed to details of it due to their occupation. The LEC-5 was administered during the 8-week assessment. Responses to all questions were summed to derive a prior trauma index. We also indexed childhood trauma via 11 items from the Childhood Trauma Questionnaire – Short Form (CTQ) (Bernstein et al., Reference Bernstein, Stein, Newcomb, Walker, Pogge, Ahluvalia and Zule2003). Participants were asked to rate how often they experienced maltreatment across five domains (emotional abuse, physical abuse, sexual abuse, emotional neglect, and physical neglect) from a scale of 0 (never true) to 4 (very often true). The CTQ was administered during the 2-week assessment.

Statistical analyses

Statistical analyses were completed using a combination of IBM SPSS Statistics version 24 (Armonk, NY) and the JASP statistical package (https://jasp-stats.org/). The χ2 and univariate analysis of variance (ANOVA) models were completed to assess differences in demographic factors between the racial/ethnic groups. Our initial research questions were focused on racial/ethnic group differences in different posttraumatic outcomes over time. We completed sets of linear mixed-effects models with unstructured covariance matrices to investigate race-related differences in posttraumatic dysfunction measures across the five domains assessed (i.e. PTSD, depression, dissociation, anxiety, and resilience). In model set A, time (three levels) and racial/ethnic group (three levels) were included as fixed factors to assess the main effects of racial/ethnic group and differences over time for each measure of posttraumatic dysfunction (five models total). In model set B, covariates for age, employment status, income, education, marital status, and medication usage during recruitment from the ED were included to determine if race/ethnic differences were observed above and beyond base demographic factors. Demographic data were dummy-coded for inclusion as covariates in linear mixed-effects models (marital status: currently/previously married v. not; income: ⩽$35 000 v. >$35 000; education: completed high-school or less, completed greater than high-school; employment: employed v. not; ED medication: yes v. no). Income was dummy-coded based on the median response. We completed separate univariate ANOVAs on assessments completed in the ED to determine if racial/ethnic differences in posttraumatic dysfunction were potentially driven by pre-trauma symptoms. We then repeated model set A controlling for pre-trauma symptoms and this analysis is reported in the online Supplementary material. We next sought to determine if other potential pre-trauma factors may be related to the observed race-related differences in posttraumatic depression and anxiety severity. We focused on prior lifetime and childhood trauma given prior work has demonstrated that these factors are major risk factors for subsequent PTSD. The prior trauma index derived from LEC-5 was used in an ANOVA with racial group as the between-subjects factor. To investigate racial/ethnic differences in childhood trauma, subscale scores for the five domains of the CTQ assessing emotional abuse, physical abuse, sexual abuse, emotional neglect, and physical neglect were entered in a multivariate analysis of variance (MANOVA) with a between-subjects factor for racial group. Prior trauma types that differed significantly between the racial/ethnic groups were included in a final linear model as covariates (model set C). Bonferroni corrections were applied to the linear models based on our a priori interest in the time by racial group interactions and main effects of racial group (two contrasts per model, 10 total comparisons) and effects were considered statistically significant at an adjusted p = 0.005 (0.05/10) per model set.

Results

Race-related differences in participant characteristics

ANOVA and χ2 tests were completed to assess racial/ethnic differences in the demographic factors (Table 1). Significant differences in age and proportions of sex at birth categories were observed between the racial/ethnic groups. No statistically significant difference was observed in employment status for the three groups. Racial/ethnic groups differed in income status, education, current/previous marital status, and ED medication use. Black and Hispanic groups had a greater proportion of participants who were low income, had less than an associate's degree or equivalent, and were not currently or previously married. Medication usage in the ED was generally higher for Hispanic participants.

Race-related differences in posttraumatic outcomes

Linear mixed-effects models were completed to assess racial/ethnic differences in PTSD, depression, anxiety, dissociation, and resilience scores with and without the inclusion of covariates (Table 2). We observed significant main effects of racial/ethnic group on depression and anxiety scores that persisted when accounting for differences in demographic factors. Post-hoc comparisons revealed that Black participants showed lower overall posttraumatic depression and anxiety severity compared to Hispanic and White participants (Table 3). For completeness, exploratory post-hoc comparisons between groups of each measure at each timepoint are presented in the online Supplementary material (Table S4). Taken together, these findings demonstrate that the general severity of post-trauma depression and anxiety are lower in recently trauma-exposed Black individuals, and these differences do not appear to be driven by differences in general demographic factors.

Table 2.

Linear mixed-effects models investigated racial/ethnic differences in posttraumatic outcomes

Note: Bold values indicate Bonferroni corrected p < 0.005 for a priori contrasts of interest. Inferential statistics provided as: F-statistic (p value).

Table 3.

Descriptive statistics and post-hoc comparisons for posttraumatic symptoms and resilience among racial/ethnic groups

H, Hispanic; W, White, B, Black.

Note: Descriptive statistics presented as mean (standard deviation) for the average symptom severity of each domain across the 2-week, 8-week, and 3-month assessments. Inferential statistics presented as T-statistic (p value).

a Indicates correction for violation of Levene's Test for Equality of Variances.

We completed follow-up exploratory analyses to investigate if racial/ethnic differences in posttraumatic dysfunction existed prior to ED admission via the retrospective reports. We observed significant main effects of race/ethnicity on depression, dissociation, and anxiety symptoms (online Supplementary Table S5). When the original linear mixed-effects models also included retrospective reports of posttraumatic dysfunction in the ED, we observed significant main effects of race on anxiety symptoms (online Supplementary Table S6; p = 0.028). These findings suggest some aspects of the observed racial/ethnic differences in posttraumatic dysfunction were driven by pre-trauma factors.

Previous trauma exposure and childhood trauma as potential factors

We next investigated racial/ethnic differences in lifetime and childhood trauma as potential pre-trauma factors influencing posttraumatic stress symptoms. We observed a significant main effect of racial group on prior trauma such that White participants endorsed a greater number of traumatic events compared to Hispanic and Black participants (Table 4). Further, we observed a significant omnibus effect of racial group on childhood trauma [F (2,892) = 3.97, p < 0.001, Wilk's λ = 0.96]. Follow-up univariate ANOVAs revealed race-related differences were specific to emotional abuse, such that White participants reported more emotional abuse compared to Black participants. Of note, prior trauma and childhood emotional abuse were significantly, but weakly, correlated (r = 0.20, p < 0.001).

Table 4.

Previous trauma exposure in the present sample

ANOVA, analysis of variance; H, Hispanic; W, White; B, Black.

Note: Lifetime trauma was assessed using the Life Events Checklist. Childhood trauma events were assessed using the short-form version of the Childhood Trauma Questionnaire. Descriptive statistics are presented as mean (standard deviation). Inferential statistics are presented as F-statistic or T-statistic (p value).

a Indicates correction for violation of Levene's Test for Equality of Variances.

Given these findings, we repeated the original linear mixed-effects models to account for differences in prior trauma and childhood emotional abuse. When accounting for prior trauma and emotional abuse, racial/ethnic group was no longer associated with posttraumatic depression severity or posttraumatic anxiety (Table 2). Taken together, these findings suggest race-related differences in posttraumatic depression and anxiety are partially due to differences in prior reported trauma exposure.

Discussion

Despite evidence of racial/ethnic differences in the chronic and long-term effects of trauma, there are limited data on racial/ethnic differences in posttraumatic outcomes in the early aftermath of trauma. Within the present analyses of a large sample of Hispanic, White, and Black trauma victims, we observed significantly lower posttraumatic depression and anxiety symptoms among Black individuals compared to Hispanic and White individuals. Racial/ethnic differences in depression and anxiety were not attenuated when controlling for differences in socioeconomic indicators or ED medication use. However, racial/ethnic differences in posttraumatic symptoms were attenuated when considering differences in prior trauma exposure and childhood emotional neglect. Together, the present findings illustrate that previous exposure to traumatic stress mediates, in part, racial/ethnic differences in depression and anxiety severity in the early aftermath of trauma exposure.

Contrary to our hypotheses, racial/ethnic groups in the present study did not differ in trajectories of recovery from posttraumatic dysfunction over time. Instead, Black individuals displayed – on average – lower severity of depression and anxiety symptoms than Hispanic and White individuals. Prior epidemiological findings suggest that Black and Hispanic individuals have lower occurrence of more chronic disorders such as PTSD and depression (Kessler et al., Reference Kessler, Berglund, Demler, Jin, Merikangas and Walters2005); however, earlier analyses utilizing data from the AURORA study did not observe racial/ethnic differences in the immediate (i.e. 2–8 weeks) post-trauma phase (Joormann et al., Reference Joormann, McLean, Beaudoin, An, Stevens, Zeng and Kessler2020; Kessler et al., Reference Kessler, Ressler, House, Beaudoin, An, Stevens and McLean2021). Thus, we initially suspected that racial/ethnic groups would show differing trajectories in symptom severity over time that may explain the discordance between prior research on peri- and chronic posttrauma outcomes. The lack of a significant time by racial/ethnic group interaction may suggest that differences in recovery trajectory occur at a longer timescale than what was captured in the current analysis (i.e. beyond 3 months). An alternative hypothesis is that posttraumatic dysfunction trajectories are not different between groups, but that differences in the assessment of prevalence rates of chronic dysfunction across racial/groups partially reflect structural inequities. For example, racial/ethnic minority individuals with high symptoms may not be included in these assessments due to confounding factors (e.g. lack of resources) that limit participation. Further analyses within the growing longitudinal AURORA dataset may be able to disentangle posttraumatic trajectories on larger timescales and assess potential attrition related confounds contributing to racial/ethnic differences in posttraumatic outcomes.

Importantly, racial/ethnic differences in posttraumatic depression and anxiety were largely accounted for by differences in prior trauma and childhood emotional abuse. These findings are consistent, in part, with prior work showing that lifetime trauma load is a significant predictor of later PTSD development (Breslau, Chilcoat, Kessler, & Davis, Reference Breslau, Chilcoat, Kessler and Davis1999; Kolassa et al., Reference Kolassa, Ertl, Eckart, Kolassa, Onyut and Elbert2010). Further, childhood trauma and adverse childhood experiences are also associated with a range of adult mental health outcomes (McLaughlin et al., Reference McLaughlin, Koenen, Bromet, Karam, Liu, Petukhova and Kessler2017; Powers et al., Reference Powers, Fani, Cross, Ressler and Bradley2016; Schilling, Aseltine, & Gore, Reference Schilling, Aseltine and Gore2007). Thus, our data provide support for the model that previous trauma exposures contribute to greater posttraumatic dysfunction after a recent trauma. Somewhat counterintuitively, however, the greater rates of previous trauma were observed in WA participants compared to Hispanic and Black participants. These differences are relatively surprising particularly given the greater amounts of structural adversity (e.g. lower income and education levels) endorsed by Black and Hispanic groups in the present sample.

The disconnect between the present assessment of previous trauma and posttraumatic symptoms and previously observed racial differences in traumatic stress leads to several potentially interesting hypotheses. On the one hand, it should be considered that the current findings may reflect racial/ethnic differences in how individuals from minority groups consider or contextualize events as abuse. Racial/ethnic groups globally and within the USA differ in the use and perception of behaviors typically regarded as abusive (e.g. corporal punishment) (Lansford et al., Reference Lansford, Godwin, Tirado, Zelli, Al-Hassan, Bacchini and Alampay2015; Taylor, Hamvas, & Paris, Reference Taylor, Hamvas and Paris2011). The normalizing of such behaviors may contribute to a difficulty or hesitancy to consider the events as abusive. As an example, a prior report found that racial/ethnic minority young adults report greater emotional abuse or neglect (Brown, Fite, Stone, Richey, & Bortolato, Reference Brown, Fite, Stone, Richey and Bortolato2018). Further, racial/ethnic minority youth were less able to identify internal feelings as were those with more reported experiences of emotional abuse or neglect. These results may suggest that childhood maltreatment contributes to difficulty contextualizing abusive behaviors. Thus, one speculative hypothesis is that the relatively older adults in the present sample are not endorsing events as abusive. On the other hand, the present findings may reflect unique aspects of racialized experiences for White, Black, and Hispanic individuals. Contemporary models of threat and deprivation (McLaughlin, Sheridan, & Lambert, Reference McLaughlin, Sheridan and Lambert2014) conceptualize traumatic stressors and abuse as ‘threats’ that are more directly related to the development and expression of posttraumatic symptoms (McLaughlin et al., Reference McLaughlin, Koenen, Bromet, Karam, Liu, Petukhova and Kessler2017). Conversely, structural inequalities such as poverty may reflect ‘deprivation’ and this may have greater impacts on future cognitive functioning (Busso, McLaughlin, & Sheridan, Reference Busso, McLaughlin and Sheridan2017). Although cognitive performances were not assessed here, our data may partially support this model in that White individuals experienced more ‘threat’ and minority individuals experienced more ‘deprivation’ and – accordingly – White individuals showed more posttraumatic depression and anxiety symptoms. The relative contributions of such threat-deprivation models to posttraumatic symptoms in the early aftermath of trauma are still relatively unknown and may be one approach to understanding racial/ethnic differences in posttraumatic dysfunction. Speculatively, both of the proposed mechanisms may be relevant to the present results; however, it is not possible to disentangle the contributions in the current analyses. Nevertheless, the current findings highlight the need to consider pre-trauma factors that may contribute to race-related differences in peri- and post-traumatic responses.

Socioeconomic factors such as education and income did not modulate racial/ethnic differences in posttraumatic depression and anxiety. Prior work suggests socioeconomic factors such as education and income moderate the severity of depression and anxiety symptoms and race-related differences in these factors may contribute to racial/ethnic differences in mental health (Chen et al., Reference Chen, Kessler, Sadikova, NeMoyer, Sampson, Alvarez and Williams2019; Everson, Maty, Lynch, & Kaplan, Reference Everson, Maty, Lynch and Kaplan2002). Though not the main focus of the present report, we note that income, education, and employment were uniquely associated with PTSD, depression, and anxiety symptoms as well as resilience after trauma exposure. Together, our findings suggest these factors do play a role in posttraumatic responses but do not account for racial/ethnic differences in the early aftermath of trauma.

Several limitations should be noted for the present study. Although our sample is among the largest of longitudinal studies assessing posttraumatic dysfunction immediately following trauma, we were limited in defining racial/ethnic classification to one of three groups. Racial/ethnic variation within the USA is considerably high, and each identity likely has its own stressors that may add nuance to the present results. Future work will be needed to provide more granularity to the present findings. In addition, due to modeling constraints, we only included individuals with complete data on all outcome psychometrics through 3 months after trauma. It is possible that there may be attrition-related interactions with race/ethnicity that we are not able to disentangle here that are relevant for characterizing racial/ethnic differences in posttraumatic outcomes. Another important note is that data were only available for up to 3 months after the traumatic event. Although we did not observe any differences in changes over time, it is possible that some groups may show significant trajectory changes for periods beyond 3 months after the traumatic event. It will be necessary to investigate longitudinal changes, ideally leveraging large-scale databases such as the ever-growing AURORA study. However, other datasets from large-scale studies such as the All of Us Research Program (‘The ‘All of Us’ Research Program’, 2019), Psychiatric Genomics Consortia (Cichon et al., Reference Cichon, Craddock, Daly, Faraone, Gejman, Kelsoe and Sullivan2009; Logue et al., Reference Logue, Amstadter, Baker, Duncan, Koenen, Liberzon and Uddin2015), and the Adolescent Brain and Cognitive Development study (Volkow et al., Reference Volkow, Koob, Croyle, Bianchi, Gordon, Koroshetz and Weiss2018), may also shine important light on the impact of racial/ethnic differences in chronic posttraumatic dysfunction and early childhood pretraumatic factors.

Further, we note that while our approach indexed prior trauma exposure, it is unclear if there were racial/ethnic differences in the frequency of specific traumatic events. The LEC-5 was not designed to assess the frequency of specific events and although we included a second measure – the CTQ – to improve our index of prior trauma exposure additional research on potential differences in event frequency are needed. Further disentanglement of trauma frequency or proximity to trauma may improve efforts for clarifying individual vulnerability to posttraumatic dysfunction (Weis, Webb, Stevens, Larson, & deRoon-Cassini, Reference Weis, Webb, Stevens, Larson and deRoon-Cassini2021). A final limitation is that we did not consider other potentially protective factors in race-related differences of posttraumatic dysfunction. Prior work has highlighted that group differences in behaviors such as religious service attendance may partially explain lower reported mental illness prevalence in Black groups (Reese, Thorpe, Bell, Bowie, & La Veist, Reference Reese, Thorpe, Bell, Bowie and La Veist2012). Future work may thus benefit from a consideration of potentially protective factors for race-related differences in posttraumatic dysfunction in the early aftermath of trauma.

In conclusion, the present study demonstrates race-related differences in posttraumatic depression and anxiety are partially driven by racial/ethnic differences in pretraumatic exposures to different life stressors. In particular, White participants' greater exposure to traumatic events and childhood emotional neglect appeared to potentiate depression and anxiety symptoms after a recent trauma. These findings shed important light on pretraumatic risk factors for posttraumatic dysfunction and provide a better understanding of race/ethnicity-related differences in the early aftermath of trauma.

Supplementary material

The supplementary material for this article can be found at https://doi.org/10.1017/S0033291721004475.

Data

Data and/or research tools used in the preparation of this manuscript were obtained from the National Institute of Mental Health (NIMH) Data Archive (NDA). NDA is a collaborative informatics system created by the National Institutes of Health to provide a national resource to support and accelerate research in mental health. Dataset identifier(s): NIMH Data Archive Digital Object Identifier 10.15154/1521131. This manuscript reflects the views of the authors and may not reflect the opinions or views of the NIH or of the Submitters submitting original data to NDA.

Acknowledgements

The investigators wish to thank the trauma survivors participating in the AURORA Study. Their time and effort during a challenging period of their lives make our efforts to improve recovery for future trauma survivors possible. Funding for the study was provided by NIMH K00MH119603, K01MH118467, U01MH110925, the US Army Medical Research and Material Command, The One Mind Foundation, and The Mayday Fund. Mindstrong Health provided software used to perform study assessments

Financial support

Funding for the study was provided by NIMH K00MH119603, K01MH118467, U01MH110925, the US Army Medical Research and Material Command, The One Mind Foundation, and The Mayday Fund.

Conflict of interest

In the past 3 years, Dr Kessler received support for his epidemiological studies from Sanofi Aventis; was a consultant for Datastat, Inc., Sage Pharmaceuticals, and Takeda. Dr Sheikh has received funding from the Florida Medical Malpractice Joint Underwriter's Association Dr Alvin E. Smith Safety of Healthcare Services Grant; the NIH/NIA-funded Jacksonville Aging Studies Center (JAX-ASCENT; R33AG05654); and the Florida Blue Foundation. Dr Ressler serves on advisory boards or has performed scientific consultation for Takeda, Janssen, Bioxcel, Bionomics, and Verily, and he has received sponsored research support from Takeda, Alto Neuroscience, and Brainsway. He receives funding from NIH and the Brain and Behavior Research Fund. Dr Jones reports no direct conflicts related to this paper, and no ongoing conflicts. He has been an investigator on studies funded by Roche Diagnostics, AstraZeneca, Janssen, Vapotherm Inc., and Hologic Inc., for which my department has received research funding. Over the past 3 years, Dr Pizzagalli has received consulting fees from BlackThorn Therapeutics, Boehringer Ingelheim, Compass Pathway, Concert Pharmaceuticals, Engrail Therapeutics, Neurocrine Biosciences, Otsuka Pharmaceuticals, and Takeda Pharmaceuticals; one honorarium from Alkermes, and research funding from Millennium Pharmaceuticals. In addition, he has received stock options from BlackThorn Therapeutics. No funding from these entities was used to support the current work, and all views expressed are solely those of the authors. Dr Elliott reports support from the National Institutes of Health (NIH) through grant numbers R01HD079076 and R03HD094577: Eunice Kennedy Shriver National Institute of Child Health & Human Development; National Center for Medical Rehabilitation Research, and consulting fees (<$15 000 per annum) from Orofacial Therapeutics, LLC. He also reports funding from New South Wales Health Spinal Cord Injury Research Grants Program. Dr Germine is on the scientific advisory board of the nonprofit Sage Bionetworks, for which she receives a small honorarium. The remaining authors declare no conflicts of interest.

Ethical standards

The authors assert that all procedures contributing to this work comply with the ethical standards of the relevant national and institutional committees on human experimentation and with the Helsinki Declaration of 1975, as revised in 2008.

References

Bernstein, D. P., Stein, J. A., Newcomb, M. D., Walker, E., Pogge, D., Ahluvalia, T., … Zule, W. (2003). Development and validation of a brief screening version of the childhood trauma questionnaire. Child Abuse and Neglect, 27(2), 169–190. https://doi.org/10.1016/S0145-2134(02)00541-0.CrossRefGoogle ScholarPubMed
Bernstein Carlson, E., & Putnam, F. W. (1993). An update on the dissociative experiences scale. Dissociation, 6(1), 16–27.Google Scholar
Bird, C. M., Webb, E. K., Schramm, A. T., Torres, L., Larson, C., & deRoon-Cassini, T. A. (2021). Racial discrimination is associated with acute posttraumatic stress symptoms and predicts future posttraumatic stress disorder symptom severity in trauma-exposed black adults in the United States. Journal of Traumatic Stress, 34, 995–1004. https://doi.org/10.1002/jts.22670.CrossRefGoogle ScholarPubMed
Bonanno, G. A., & Mancini, A. D. (2012). Beyond resilience and PTSD: Mapping the heterogeneity of responses to potential trauma. Psychological Trauma: Theory, Research, Practice, and Policy, 4(1), 74–83. https://doi.org/10.1037/a0017829.CrossRefGoogle Scholar
Breslau, J., Aguilar-Gaxiola, S., Kendler, K. S., Su, M., Williams, D., & Kessler, R. C. (2006). Specifying race-ethnic differences in risk for psychiatric disorder in a USA national sample. Psychological Medicine, 36(1), 57–68. https://doi.org/10.1017/S0033291705006161.CrossRefGoogle Scholar
Breslau, N., Chilcoat, H. D., Kessler, R. C., & Davis, G. C. (1999). Previous exposure to trauma and PTSD effects of subsequent trauma: Results from the Detroit area survey of trauma. American Journal of Psychiatry, 156(6), 902–907. https://doi.org/10.1176/ajp.156.6.902.CrossRefGoogle ScholarPubMed
Brown, S., Fite, P. J., Stone, K., Richey, A., & Bortolato, M. (2018). Associations between emotional abuse and neglect and dimensions of alexithymia: The moderating role of sex. Psychological Trauma: Theory, Research, Practice, and Policy, 10(3), 300–308. https://doi.org/10.1037/tra0000279.CrossRefGoogle ScholarPubMed
Busso, D. S., McLaughlin, K. A., & Sheridan, M. A. (2017). Dimensions of adversity, physiological reactivity, and externalizing psychopathology in adolescence: Deprivation and threat. Psychosomatic Medicine, 79(2), 162–171. https://doi.org/10.1097/PSY.0000000000000369.CrossRefGoogle ScholarPubMed
Chen, R., Kessler, R. C., Sadikova, E., NeMoyer, A., Sampson, N. A., Alvarez, K., … Williams, D. R. (2019). Racial and ethnic differences in individual-level and area-based socioeconomic status and 12-month DSM-IV mental disorders. Journal of Psychiatric Research, 119, 48–59. https://doi.org/10.1016/j.jpsychires.2019.09.006.CrossRefGoogle ScholarPubMed
Cichon, S., Craddock, N., Daly, M., Faraone, S. V., Gejman, P. V., Kelsoe, J., … Sullivan, P. F. (2009). A framework for interpreting genome-wide association studies of psychiatric disorders. Molecular Psychiatry, 14, 10–17. https://doi.org/10.1038/mp.2008.126.Google Scholar
Connor, K. M., & Davidson, J. R. T. (2003). Development of a new resilience scale: The Connor-Davidson resilience scale (CD-RISC). Depression and Anxiety, 18(2), 76–82. https://doi.org/10.1002/da.10113.CrossRefGoogle ScholarPubMed
Cook, B. L., Trinh, N. H., Li, Z., Hou, S. S. Y., & Progovac, A. M. (2017). Trends in racial-ethnic disparities in access to mental health care, 2004-2012. Psychiatric Services, 68, 9–16. https://doi.org/10.1176/appi.ps.201500453.CrossRefGoogle ScholarPubMed
Davis, R. G., Ressler, K. J., Schwartz, A. C., Stephens, K. J., & Bradley, R. G. (2008). Treatment barriers for low-income, urban African Americans with undiagnosed posttraumatic stress disorder. Journal of Traumatic Stress, 21(2), 218–222. https://doi.org/10.1002/jts.20313.CrossRefGoogle ScholarPubMed
Everson, S. A., Maty, S. C., Lynch, J. W., & Kaplan, G. A. (2002). Epidemiologic evidence for the relation between socioeconomic status and depression, obesity, and diabetes. Journal of Psychosomatic Research 53, 891–895. https://doi.org/10.1016/S0022-3999(02)00303-3.CrossRefGoogle ScholarPubMed
Galatzer-Levy, I. R., Ankri, Y., Freedman, S., Israeli-Shalev, Y., Roitman, P., Gilad, M., … Shalev, A. Y. (2013). Early PTSD symptom trajectories: Persistence, recovery, and response to treatment: Results from the Jerusalem trauma outreach and prevention study (J-TOPS). PLoS ONE, 8(8), e70084. https://doi.org/10.1371/journal.pone.0070084.CrossRefGoogle ScholarPubMed
Gould, F., Harvey, P. D., Hodgins, G., Jones, M. T., Michopoulos, V., Maples-Keller, J., … Nemeroff, C. B. (2021). Prior trauma-related experiences predict the development of posttraumatic stress disorder after a new traumatic event. Depression and Anxiety, 38(1), 40–47. https://doi.org/10.1002/da.23084.CrossRefGoogle ScholarPubMed
Harnett, N. G., van Rooij, S. J. H., Ely, T. D., Lebois, L. A. M., Murty, V. P., Jovanovic, T., … Stevens, J. S. (2021). Prognostic neuroimaging biomarkers of trauma-related psychopathology: Resting-state fMRI shortly after trauma predicts future PTSD and depression symptoms in the AURORA study. Neuropsychopharmacology, 46(7), 1263–1271. https://doi.org/10.1038/s41386-020-00946-8.CrossRefGoogle ScholarPubMed
Herring, C., & Henderson, L. (2016). Wealth inequality in black and white: Cultural and structural sources of the racial wealth gap. Race and Social Problems, 8(1), 4–17. https://doi.org/10.1007/s12552-016-9159-8.CrossRefGoogle Scholar
Joormann, J., McLean, S. A., Beaudoin, F. L., An, X., Stevens, J. S., Zeng, D., … Kessler, R. C. (2020). Socio-demographic and trauma-related predictors of depression within eight weeks of motor vehicle collision in the AURORA study. Psychological Medicine, 1–14. https://doi.org/10.1017/S0033291720003773.Google ScholarPubMed
Kessler, R. C., Aguilar-Gaxiola, S., Alonso, J., Bromet, E. J., Gureje, O., Karam, E. G., … Zaslavsky, A. M. (2018). The associations of earlier trauma exposures and history of mental disorders with PTSD after subsequent traumas. Molecular Psychiatry, 23(9), 1892–1899. https://doi.org/10.1038/mp.2017.194.CrossRefGoogle ScholarPubMed
Kessler, R. C., Berglund, P., Demler, O., Jin, R., Merikangas, K. R., & Walters, E. E. (2005). Lifetime prevalence and age-of-onset distributions of DSM-IV disorders in the national comorbidity survey replication. Archives of General Psychiatry, 62(6), 593–602. https://doi.org/10.1001/archpsyc.62.6.593.CrossRefGoogle ScholarPubMed
Kessler, R. C., Ressler, K. J., House, S. L., Beaudoin, F. L., An, X., Stevens, J. S., … McLean, S. A. (2021). Socio-demographic and trauma-related predictors of PTSD within 8 weeks of a motor vehicle collision in the AURORA study. Molecular Psychiatry, 26(7), 3108–3121. https://doi.org/10.1038/s41380-020-00911-3.CrossRefGoogle ScholarPubMed
Kolassa, I. T., Ertl, V., Eckart, C., Kolassa, S., Onyut, L. P., & Elbert, T. (2010). Spontaneous remission from PTSD depends on the number of traumatic event types experienced. Psychological Trauma: Theory, Research, Practice, and Policy, 2(3), 169–174. https://doi.org/10.1037/a0019362.CrossRefGoogle Scholar
Lansford, J. E., Godwin, J., Tirado, L. M. U., Zelli, A., Al-Hassan, S. M., Bacchini, D., … Alampay, L. P. (2015). Individual, family, and culture level contributions to child physical abuse and neglect: A longitudinal study in nine countries. Development and Psychopathology, 27, 1417–1428. https://doi.org/10.1017/S095457941500084X.CrossRefGoogle ScholarPubMed
Liu, H., Petukhova, M. V., Sampson, N. A., Aguilar-Gaxiola, S., Alonso, J., Andrade, L. H., … Wojtyniak, B. (2017). Association of DSM-IV posttraumatic stress disorder with traumatic experience type and history in the World Health Organization World Mental Health surveys. JAMA Psychiatry, 74(3), 270–281. https://doi.org/10.1001/jamapsychiatry.2016.3783.CrossRefGoogle ScholarPubMed
Logue, M. W., Amstadter, A. B., Baker, D. G., Duncan, L., Koenen, K. C., Liberzon, I., … Uddin, M. (2015). The psychiatric genomics consortium posttraumatic stress disorder workgroup: Posttraumatic stress disorder enters the age of large-scale genomic collaboration. Neuropsychopharmacology, 40(10), 2287–2297. https://doi.org/10.1038/npp.2015.118.CrossRefGoogle Scholar
Maguire-Jack, K., Lanier, P., & Lombardi, B. (2019). Investigating racial differences in clusters of adverse childhood experiences. American Journal of Orthopsychiatry, 90, 106. https://doi.org/10.1037/ort0000405.CrossRefGoogle ScholarPubMed
McLaughlin, K. A., Koenen, K. C., Bromet, E. J., Karam, E. G., Liu, H., Petukhova, M., … Kessler, R. C. (2017). Childhood adversities and post-traumatic stress disorder: Evidence for stress sensitisation in the world mental health surveys. British Journal of Psychiatry, 211(5), 280–288. https://doi.org/10.1192/bjp.bp.116.197640.CrossRefGoogle ScholarPubMed
McLaughlin, K. A., Sheridan, M. A., & Lambert, H. K. (2014). Childhood adversity and neural development: Deprivation and threat as distinct dimensions of early experience. Neuroscience and Biobehavioral Reviews, 47, 578–591. https://doi.org/10.1016/j.neubiorev.2014.10.012.CrossRefGoogle ScholarPubMed
McLean, S. A., Ressler, K., Koenen, K. C., Neylan, T., Germine, L., Jovanovic, T., … Linnstaedt, S. (2020). The AURORA study: A longitudinal, multimodal library of brain biology and function after traumatic stress exposure. Molecular Psychiatry, 25(2), 283–296.CrossRefGoogle ScholarPubMed
Miranda, J., McGuire, T. G., Williams, D. R., & Wang, P. (2008). Mental health in the context of health disparities. American Journal of Psychiatry, 165(9), 1102–1108. https://doi.org/10.1176/appi.ajp.2008.08030333.CrossRefGoogle ScholarPubMed
Muralidharan, A., Austern, D., Hack, S., & Vogt, D. (2016). Deployment experiences, social support, and mental health: Comparison of Black, White, and Hispanic U.S. Veterans deployed to Afghanistan and Iraq. Journal of Traumatic Stress, 29(3), 273–278. https://doi.org/10.1002/jts.22104.CrossRefGoogle ScholarPubMed
Parto, J. A., Evans, M. K., & Zonderman, A. B. (2011). Symptoms of posttraumatic stress disorder among urban residents. Journal of Nervous and Mental Disease, 199(7), 436–439. https://doi.org/10.1097/NMD.0b013e3182214154.CrossRefGoogle ScholarPubMed
Pilkonis, P. A., Choi, S. W., Reise, S. P., Stover, A. M., Riley, W. T., & Cella, D. (2011). Item banks for measuring emotional distress from the patient-reported outcomes measurement information system (PROMIS®): Depression, anxiety, and anger. Assessment, 18(3), 263–283. https://doi.org/10.1177/1073191111411667.CrossRefGoogle ScholarPubMed
Powers, A., Fani, N., Cross, D., Ressler, K. J., & Bradley, B. (2016). Childhood trauma, PTSD, and psychosis: Findings from a highly traumatized, minority sample. Child Abuse and Neglect, 58, 111–118. https://doi.org/10.1016/j.chiabu.2016.06.015.CrossRefGoogle ScholarPubMed
Reese, A. M., Thorpe, R. J., Bell, C. N., Bowie, J. V., & La Veist, T. A. (2012). The effect of religious service attendance on race differences in depression: Findings from the EHDIC-SWB study. Journal of Urban Health, 89(3), 510–518. https://doi.org/10.1007/s11524-011-9659-1.CrossRefGoogle ScholarPubMed
Roberts, A. L., Gilman, S. E., Breslau, J., Breslau, N., & Koenen, K. C. (2011). Race/ethnic differences in exposure to traumatic events, development of post-traumatic stress disorder, and treatment-seeking for post-traumatic stress disorder in the United States. Psychological Medicine, 41(1), 71–83. https://doi.org/10.1017/S0033291710000401.CrossRefGoogle ScholarPubMed
Schilling, E. A., Aseltine, R. H., & Gore, S. (2007). Adverse childhood experiences and mental health in young adults: A longitudinal survey. BMC Public Health, 7(1), 1–10. https://doi.org/10.1186/1471-2458-7-30.CrossRefGoogle ScholarPubMed
Shalev, A. Y., Gevonden, M., Ratanatharathorn, A., Laska, E., van der Mei, W. F., Qi, W., … van Zuiden, M. (2019). Estimating the risk of PTSD in recent trauma survivors: Results of the International Consortium to Predict PTSD (ICPP). World Psychiatry, 18(1), 77–87. https://doi.org/10.1002/wps.20608.CrossRefGoogle Scholar
Sheats, K. J., Irving, S. M., Mercy, J. A., Simon, T. R., Crosby, A. E., Ford, D. C., … Morgan, R. E. (2018). Violence-related disparities experienced by black youth and young adults: Opportunities for prevention. American Journal of Preventive Medicine, 55(4), 462–469. https://doi.org/10.1016/j.amepre.2018.05.017.CrossRefGoogle Scholar
Slopen, N., Shonkoff, J. P., Albert, M. A., Yoshikawa, H., Jacobs, A., Stoltz, R., & Williams, D. R. (2016). Racial disparities in child adversity in the U.S.: Interactions with family immigration history and income. American Journal of Preventive Medicine, 50(1), 47–56. https://doi.org/10.1016/j.amepre.2015.06.013.CrossRefGoogle ScholarPubMed
Steuber, E. R., Seligowski, A. V., Roeckner, A. R., Reda, M., Lebois, L. A. M., van Rooij, S. J. H., … Stevens, J. S. (2021). Thalamic volume and fear extinction interact to predict acute posttraumatic stress severity. Journal of Psychiatric Research, 141, 325–332. https://doi.org/10.1016/j.jpsychires.2021.07.023.CrossRefGoogle ScholarPubMed
Taylor, C. A., Hamvas, L., & Paris, R. (2011). Perceived instrumentality and normativeness of corporal punishment use among black mothers. Family Relations, 60(1), 60–72. https://doi.org/10.1111/j.1741-3729.2010.00633.x.CrossRefGoogle ScholarPubMed
The ‘All of Us’ Research Program. (2019). New England Journal of Medicine, 381(7), 668–676. https://doi.org/10.1056/nejmsr1809937.CrossRefGoogle Scholar
Volkow, N. D., Koob, G. F., Croyle, R. T., Bianchi, D. W., Gordon, J. A., Koroshetz, W. J., … Weiss, S. R. B. (2018). The conception of the ABCD study: From substance use to a broad NIH collaboration. Developmental Cognitive Neuroscience, 32, 4–7. https://doi.org/10.1016/j.dcn.2017.10.002.CrossRefGoogle ScholarPubMed
Weathers, F. W., Blake, D. D., Schnurr, P. P., Kaloupek, D. G., Marx, B. P., & Keane, T. M. (2013a). The Life Events Checklist for DSM-5 (LEC-5) – Extended. [Measurement instrument]. National Center for PTSD, 5(April). Retrieved from http://www.ptsd.va.gov/professional/assessment/te-measures/life_events_checklist.asp.Google Scholar
Weathers, F. W., Litz, B. T., Keane, T. M., Palmieri, P. A., Marx, B. P., & Schnurr, P. P. (2013b). The PTSD Checklist for DSM-5 (PCL-5). National Center for PTSD, 5(August), 2002. https://doi.org/10.1037/t02622-000.CrossRefGoogle Scholar
Weis, C. N., Webb, E. K., Stevens, S. K., Larson, C. L., & deRoon-Cassini, T. A. (2021). Scoring the Life Events Checklist: Comparison of three scoring methods. Psychological Trauma: Theory, Research, Practice, and Policy. https://doi.org/10.1037/TRA0001049.Google ScholarPubMed
Williams, D. R., & Collins, C. (2001). Racial residential segregation: A fundamental cause of racial disparities in health. Public Health Reports, 116(5), 404–416. https://doi.org/10.1016/S0033-3549(04)50068-7.CrossRefGoogle ScholarPubMed
Williams, D. R., Mohammed, S. A., Leavell, J., & Collins, C. (2010). Race, socioeconomic status, and health: Complexities, ongoing challenges, and research opportunities. Annals of the New York Academy of Sciences, 1186, 69. https://doi.org/10.1111/j.1749-6632.2009.05339.x.CrossRefGoogle ScholarPubMed
Yearby, R. (2018). Racial disparities in health status and access to healthcare: The continuation of inequality in the United States due to structural racism. American Journal of Economics and Sociology, 77(3–4), 1113–1152. https://doi.org/10.1111/ajes.12230.CrossRefGoogle Scholar
Yehuda, R., Halligan, S. L., & Grossman, R. (2001). Childhood trauma and risk for PTSD: Relationship to intergenerational effects of trauma, parental PTSD, and cortisol excretion. Development and Psychopathology, 13(3), 733–753. https://doi.org/10.1017/S0954579401003170.CrossRefGoogle ScholarPubMed
Figure 0

Table 1. Sample demographics

Figure 1

Table 2. Linear mixed-effects models investigated racial/ethnic differences in posttraumatic outcomes

Figure 2

Table 3. Descriptive statistics and post-hoc comparisons for posttraumatic symptoms and resilience among racial/ethnic groups

Figure 3

Table 4. Previous trauma exposure in the present sample

Supplementary material: File

Harnett et al. supplementary material

Tables S1-S6

Download Harnett et al. supplementary material(File)
File 45.5 KB