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Cited by 3Traumatic Brain Injury ResearchTraumatic Brain Injury and Neurovascular DisturbancesChild Abuse and Trauma

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Long-Term Risk for Mood and Anxiety Disorders After Pediatric Traumatic Brain Injury: A Population-Based, Birth Cohort Analysis

Open access
Esterov, Dmitry, Witkowski, Julie, McCall, Dana M., Weaver, Amy L., Brown, Allen W.·2023·Journal of Head Trauma Rehabilitation

Abstract

Objective: To determine whether exposure to traumatic brain injury (TBI) before 10 years of age is associated with development of a mood or anxiety disorder by 25 years of age, and whether sex or injury severity influences this risk. Setting: Olmsted County, Minnesota. Participants: A total of 5518 persons born from January 1, 1976, through December 31, 1982. Design: Population-based, birth cohort study. Children sustaining TBI before 10 years of age (index date) were confirmed by manual record review and classified by injury severity using the Mayo Classification System. Each TBI case was age- and sex-matched to 2 referents from the same birth cohort without a history of TBI at the index date. Cox proportional hazards models were fit to compare the risk of a subsequent clinically diagnosed mood or anxiety disorder by 25 years of age between TBI cases and referents. Separate analysis was performed stratified by sex and injury severity. Main Measures: Incidence of mood and anxiety disorders determined through clinical diagnostic codes and manual record review. Results: The study included 562 children (238 females [42.3%] and 324 males [57.7%]) with TBI before 10 years of age (mean [SD] age at TBI: 4.7 [2.8] years). At least 1 mood or anxiety disorder was diagnosed for 115 persons with TBI and 215 referents. No statistically significant association existed between childhood TBI status and anxiety disorder (adjusted hazard ratio [aHR], 1.01 [95% confidence interval (CI), 0.71-1.43]; P = .97) or mood disorder (aHR, 1.16 [95% CI, 0.92-1.47]; P = .21). However, females who sustained TBI had a significantly increased risk of a subsequently diagnosed mood disorder compared with age-matched female referents (aHR, 1.40 [95% CI, 1.04-1.89]; P = .03). Conclusions: This study suggests that isolated TBI before 10 years of age is not significantly associated with an increased risk of anxiety or mood disorder by 25 years of age, though females may be at an increased risk.

Overview

CoChat Summary

TL;DR

In this population-based birth cohort, isolated TBI before 10 years of age was not significantly associated with subsequent mood or anxiety disorder by 25 years of age overall. However, females with childhood TBI had a significantly increased risk of a subsequently diagnosed mood disorder compared with age-matched female referents.

Key findings

  • Among 562 children with TBI before 10 years of age and 1124 matched referents, 115 persons with TBI and 215 referents had at least 1 mood or anxiety disorder; median age at first diagnosis was 18.1 years for TBI cases and 18.4 years for referents.
  • Overall, childhood TBI was not significantly associated with anxiety disorder (adjusted hazard ratio [aHR], 1.01 [95% CI, 0.71-1.43]; P = .97) or mood disorder (aHR, 1.16 [95% CI, 0.92-1.47]; P = .21).
  • Females with TBI had a significantly increased risk of mood disorder versus female referents (aHR, 1.40 [95% CI, 1.04-1.89]; P = .03), but males did not (aHR, 0.91 [95% CI, 0.61-1.36]; P = .65); the sex interaction was not significant (P = .12). Anxiety disorder was not significantly associated when stratified by sex (aHR, 1.12 for females and 0.84 for males; P = .55 for interaction).
  • Injury severity analyses showed no significant associations for mood disorder with Definite or Probable TBI (aHR, 1.19 [95% CI, 0.75-1.89]; P = .44) or Possible TBI (aHR, 1.18 [95% CI, 0.89-1.55]; P = .25), and no significant anxiety associations by severity.

Methods

  • Population-based birth cohort in Olmsted County, Minnesota: 5518 persons born January 1, 1976, through December 31, 1982, after exclusions. TBI before 10 years of age was confirmed by manual record review and classified with the Mayo Classification System: 8 Definite (1.4%), 140 Probable (24.9%), and 414 Possible (73.7%). Each of 562 TBI cases was matched to 2 age- and sex-matched referents from the same cohort without TBI at the index date (1124 referents).
  • Outcomes were depressive, bipolar, and anxiety disorders through age 25, identified from clinical diagnostic codes and manual record review; bipolar disorder was combined with depressive disorders into mood disorder because of few events (5 persons with TBI, all males, and 8 referents). Reliability abstraction of 30 random records showed 87% agreement and κ = 73% (95% CI, 49%-98%).
  • Cox proportional hazards models with age as the time scale compared risk between TBI cases and referents, adjusted for child’s race, mother’s age, and mother’s education level; analyses were also stratified by sex and injury severity, with Kaplan-Meier cumulative incidence estimates.

Limitations

  • The paper states that Olmsted County residents’ age, sex, and ethnic characteristics are similar to Minnesota and the Upper Midwest, so results may not generalize to more ethnically or socioeconomically diverse US populations.
  • The paper states that mood and anxiety disorders were identified by manual record review without direct clinical assessment, which could result in inaccurate classification and did not account for changes in diagnostic practices over time; however, the same blinded approach was used for all persons, and interrater reliability was adequate.
  • The paper states that few Definite TBI cases limited power to assess moderate to severe TBI, that TBI after 10 years of age was not abstracted so the impact of repeat TBI is unknown, and that other outcomes such as substance abuse and behavioral/conduct disorders need further study. The text also makes evident that the sex-specific female mood finding should be interpreted cautiously because the formal sex interaction test was not significant and mood disorder sample sizes were small.

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Integrity signals

Registry

Crossref · 10.1097/htr.0000000000000825

Cites

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Metadata

Authors
Esterov, D., Witkowski, J., McCall, D. M., Weaver, A. L., & Brown, A. W.
Affiliations
Gundersen Health System (US)
Corresponding author
Esterov, Dmitry
Venue
Journal of Head Trauma Rehabilitation
Published
2022-10-14
Volume
38
Issue
3
Pages
E212-E222
ISSN
0885-9701 (ISSN-L)
OpenAlex
W4318965914
Cited by
3
References
48
Citations by year
2026: 1 · 2024: 1 · 2023: 1
FWCI
0.27
Type
journal article
Language
en
Open access
Locations
  • Journal of Head Trauma Rehabilitation (publishedVersion)
  • PubMed (publishedVersion)
  • PubMed Central (acceptedVersion)
Funders
  • Georgia Clinical and Translational Science Alliance
  • National Institutes of Health (UL1TR002377)
  • National Institute on Aging (R01AG034676, R33AG058738)
  • National Center for Advancing Translational Sciences
Topics
  • Health Sciences › Medicine › Clinical Neurology › Traumatic Brain Injury Research
  • Health Sciences › Medicine › Clinical Neurology › Traumatic Brain Injury and Neurovascular Disturbances
  • Social Sciences › Psychology › Clinical Psychology › Child Abuse and Trauma
Keywords
traumatic brain injury, pediatric head injury, mood disorders, anxiety disorders, long-term risk, sex differences, injury severity, birth cohort, mental health outcomes, Olmsted County, Minnesota
MeSH terms
Brain Injuries, Traumatic, Birth Cohort, Adult, Anxiety Disorders, Child, Child, Preschool, Female, Humans, Male, Cohort Studies, Mood Disorders

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CoChat. (2026). Citation check: Long-Term Risk for Mood and Anxiety Disorders After Pediatric Traumatic Brain Injury: A Population-Based, Birth Cohort Analysis. https://app.cochat.ai/papers/10.1097/htr.0000000000000825
The paper
Esterov, D., Witkowski, J., McCall, D. M., Weaver, A. L., & Brown, A. W. (2023). Long-Term Risk for Mood and Anxiety Disorders After Pediatric Traumatic Brain Injury: A Population-Based, Birth Cohort Analysis. Journal of Head Trauma Rehabilitation. https://doi.org/10.1097/htr.0000000000000825

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

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