Skip to main content
Full access
Regular Articles
Published Online: 10 August 2015

Preinjury Emotional-Behavioral Functioning of Children With Lingering Problems After Mild Traumatic Brain Injury

Publication: The Journal of Neuropsychiatry and Clinical Neurosciences

Abstract

This study aimed to characterize preinjury emotional-behavioral functioning in pediatric patients with lingering problems after mild traumatic brain injury (TBI). The clinical case series design included 278 patients 8–17 years old. Parents retrospectively rated children’s preinjury emotional-behavioral functioning on a broadband questionnaire. The rate of clinically significant preinjury anxiety was elevated compared with national norms. The number of previous TBIs was associated with clinically significant preinjury externalizing problems, suggesting a link between externalizing disorders and mild TBI exposure. Premorbid emotional-behavioral difficulties may play an important role in the establishment or maintenance of lingering symptoms after pediatric mild TBI.
Mild traumatic brain injury (TBI) is common among children and adolescents, accounting for >600,000 annual emergency department visits in youth 0–19 years old in the United States.1 Although mild TBI causes transient disruption in neurological functioning, substantial evidence demonstrates that the prognosis is good. Methodologically rigorous studies have not detected lasting neurocognitive sequelae of a single uncomplicated mild TBI (i.e., injuries without obvious neuroimaging pathology), particularly when outcome is measured with objective, performance-based tests.25 However, a small subset of pediatric patients report persisting postconcussive symptoms or problems.6,7 Injury-related factors account for some of the variance in outcome,8 but their effects tend to diminish with time, suggesting that other noninjury factors play an important role in persistent symptomatology.9 Mounting evidence highlights the importance of preinjury functioning in mild TBI recovery.5,911 This study aims to add to this literature by exploring premorbid emotional-behavioral functioning in a case series of children and adolescents referred clinically for concerns about lingering problems after mild TBI.
A small body of research has specifically examined the influence of preinjury emotional-behavioral functioning on outcome after pediatric mild TBI. Results consistently show that preexisting emotional-behavioral problems (as measured retrospectively by parent-report questionnaire) predict more problems after mild TBI, even after controlling for injury-related and demographic variables.5,911 Preinjury emotional functioning and outcome after mild TBI are likely linked in part because “postconcussive” symptoms are nonspecific and overlap substantially with symptoms of depression, at least in adults.12 Furthermore, postconcussive symptoms include somatic complaints (e.g., stomach upset or headache), which have been linked to anxiety and depression in children.13,14
Mild TBI, like other types of childhood injury, is not randomly assigned in the population. Children with attention deficit hyperactivity disorder and related externalizing problems are at increased risk for unintentional injury,1517 including mild TBI. Attention deficit hyperactivity disorder and externalizing disorders commonly co-occur with emotional and learning disorders18; therefore, it is perhaps not surprising that as a group, injured children show higher rates of neurobehavioral problems.3 In general, research supports the conclusion that symptoms of impulsivity or behavioral dysregulation place children at risk for exposure to mild TBI, and not that mild TBI causes symptoms of attention deficit hyperactivity disorder,4,19 at least for children with uncomplicated injuries. Relatively more severe mild TBI (e.g., injuries requiring overnight hospitalization) might convey some risk for later symptoms of attention deficit hyperactivity disorder, especially in younger children,20 although more work is needed to clarify this issue. It is also possible that preexisting cognitive problems could complicate children’s ability to recover from a mild TBI (similar to the role that reduced cognitive reserve has been shown to play in cognitive aging),21 providing yet another basis for a link between attention deficit hyperactivity disorder and postconcussive problems.22
The goal of this study was to build on this previous literature by characterizing the preinjury emotional-behavioral functioning of children aged 8–17 years who were clinically referred to an outpatient pediatric concussion program, generally because of concerns about persisting problems related to a mild TBI. We also investigated associations between emotional-behavioral problems and a history of mild TBI before the presenting injury to gain more information about risk factors for mild TBI exposure. We expected that externalizing problems would be related to exposure to injury, consistent with previous research. In addition, we predicted modest elevations in rates of clinically significant preinjury internalizing problems in our sample, which is heavily selected for postconcussive problems.

Methods

Participants

This project was approved by the university-affiliated institutional review board. Participants were drawn from consecutive clinical cases referred to an outpatient pediatric concussion program for neuropsychological evaluation between 2005 and 2011. Patients were considered eligible if they were 8–17 years old at the time of the evaluation. Subgroups or earlier versions of this same case series were presented elsewhere.2326 All patients had sustained mild blunt head trauma with evidence of altered mental/neurological status. Children were excluded if they had intracranial findings on neuroimaging, underwent neurosurgical intervention, or were forensically referred. Sample characteristics are provided in Table 1.
TABLE 1. Background and Injury Characteristics of All Participants
CharacteristicValue
Participants, N278
Age (years), mean (SD)14.63 (2.24)
Grade level, mean (SD)8.70 (2.26)
Male, N (%)156 (56.1)
Caucasian, N (%)225 (80.9)
Estimated full-scale IQ, mean (SD)a102.51 (11.64)
Parental years of education, mean (SD) 
 Mother15.02 (2.43)
 Father14.87 (3.09)
Premorbid history of neurodevelopmental or psychiatric disorder, N (%) 
 Attention deficit hyperactivity disorder50 (18.0)
 Learning disability33 (11.9)
 Depression59 (21.2)
 Anxiety41 (14.7)
 Conduct problems10 (3.6)
Weeks since injury 
 Range6–26
 Mean (SD)8.21 (4.71)
Loss of consciousness, N (%)41 (14.7)
History of previous TBI,b N (%)133 (47.8)
Number of previous TBIs 
 Range0–6
 Mean (SD)0.88 (1.19)
Injury cause, N (%) 
 Sport170 (61.2)
 Fall45 (16.2)
 Motor vehicle collision21 (7.6)
 Recreational vehicle14 (5.0)
 Assault9 (3.2)
 Automobile versus pedestrian7 (2.5)
 Other12 (4.3)
Families in or planning on litigation, N (%)25 (9.0)
a
Based on performance on the two subtest version of the Wechsler Abbreviated Scale of Intelligence.27
b
TBI, traumatic brain injury.

Procedure

Patients underwent testing no earlier than 4 weeks after injury and no later than 26 weeks after injury. Background information for all participants was collected using a standardized questionnaire completed by the parents, and data were confirmed through follow-up interviews with board-certified neuropsychologists. Detailed injury information for the current injury as well as for any previous head injuries was obtained through caregiver and child interviews as well as through medical record review if available. On the basis of this information, a board-certified pediatric neuropsychologist determined whether injuries warranted a diagnosis of mild TBI, using the criteria provided by the Mild Traumatic Brain Injury Committee of the Head Injury Interdisciplinary Special Interest Group of the American Congress of Rehabilitation Medicine.28

Measures

Preinjury emotional-behavioral functioning was assessed with the age-appropriate version of the parent-report Behavior Assessment System for Children–Second Edition (BASC-2),29 a well-validated instrument designed to assess childhood psychopathology and behavioral disorders. The BASC-2 was normed on a large sample of children selected to resemble the U.S. population in regard to sex, parent educational level, race/ethnicity, geographical region, and classification in special education or gifted-and-talented programs. In this study, the vast majority of forms were completed by a primary caregiver (84.2%, mother; 13.3%, father; 1.4%, grandparent; and 1.1%, other). The parent-response format provides nine subscales and three composites to assess emotional and behavioral problems. Norm-referenced T scores (mean=50, SD=10) are provided. The externalizing problems composite comprises the hyperactivity, aggression, and conduct problems subscales. The internalizing problems composite comprises the anxiety, depression, and somatization subscales. Three additional subscales assess atypicality, withdrawal, and attention problems. Total problems reported across all nine subscales are reflected in the behavioral symptoms index. T scores <60 are considered to fall in the normal range, T scores between 60 and 69 fall in the at-risk range, and T scores ≥70 fall in the clinical range. In addition, the instrument has three validity scales to help the clinician determine the quality of the response profile, including scales designed to detect inconsistency, inattention to item content, and an overly negative response pattern. Each validity scale generates categorical scales of “acceptable,” “caution,” or “extreme caution.”

Analyses

First, we evaluated whether the proportion of our sample rated as falling in the clinical range on each of the BASC-2 subscales and composites was elevated compared with the norming sample. This approach has been used by previous pediatric TBI researchers.30 Because the individual scales showed varying degrees of positive skew in the norming sample, slightly different proportions of that sample were rated on the various scales as having clinically significant problems (i.e., T score ≥70). We used the information provided in the norming tables of the BASC-2 manual to determine what proportion of the norming sample had a T score corresponding to ≥70 for each scale. Those proportions were as follows: hyperactivity, 4.5%; aggression, 4.8%; conduct problems, 5.2%; anxiety, 3.0%; depression, 4.7%; somatization, 4.3%; atypicality, 5.3%; withdrawal, 3.6%; attention problems, 3.3%; externalizing problems, 4.0%; internalizing problems, 4.0%; and behavioral symptoms index, 4.0%. We then computed calculated z-score tests to statistically compare rates of clinical problems in our sample with specific rates for scales in the norming sample.
To further explore whether particular emotional-behavioral characteristics were associated with exposure to injury in our sample, we investigated associations between a self-reported history of previous mild TBI and parent BASC-2 ratings. For each BASC-2 composite and subscale, we conducted a univariate analysis of variance comparing the number of previous TBIs for groups falling in the normal, at-risk, and clinical ranges. When group differences were significant, we conducted follow-up Tukey post hoc tests. All statistical tests were two tailed.

Results

Data Preparation

We excluded 14 participants for whom at least one of the BASC-2 validity scales did not fall in the “acceptable” range. Data for remaining participants were examined for departures from normality and extreme outliers. T scores >4 SD from the mean were trimmed to 4 SD. Resulting variables all had acceptable skew and kurtosis (absolute value <3). There was a small amount of missing BASC-2 data at the item level, resulting in 0.1% of T scores being missing.

Description of Preinjury Emotional-Behavioral Functioning

Table 2 shows the mean T scores on the BASC-2 subscales and composites for our sample, as well as the proportions falling in the at-risk or clinical range. Mean scores fell well within the normal range for all composites and subscales. Rates of clinically significant parent-reported preinjury anxiety were statistically elevated relative to the norming sample. For all other subscales and composites, rates of clinically significant problems were similar to the norming sample.
TABLE 2. Parent Ratings of Preinjury Emotional-Behavioral Functioning
Parent BASC-2a Subscale or CompositeT Score, Mean (SD)At-Risk Range, N (%)Clinical Range, N (%)z Scorebp Value
Behavioral symptoms index48.46 (9.14)25 (9.5)7 (2.7)–1.070.28
Externalizing problems48.84 (8.67)18 (6.8)11 (4.2)0.150.87
 Hyperactivity49.85 (9.59)25 (9.5)13 (4.9)0.360.72
 Aggression48.33 (8.25)23 (8.7)6 (2.3)–1.890.06
 Conduct problems48.52 (9.13)19 (7.2)9 (3.4)–1.260.21
Internalizing problems50.87 (10.33)29 (11.0)16 (6.1)1.630.10
 Anxietyc50.75 (10.84)32 (12.1)20 (7.6)3.96<0.001
 Depression50.27 (10.04)30 (11.4)14 (5.3)0.470.64
 Somatization51.19 (10.35)38 (14.4)14 (5.3)0.780.44
Atypicality48.14 (8.39)12 (4.5)12 (4.5)–0.560.58
Withdrawal46.11 (8.71)20 (7.6)4 (1.5)–1.780.08
Attention problems49.73 (10.26)37 (14.0)12 (4.5)1.050.29
a
BASC-2, Behavior Assessment System for Children–Second Edition.
b
Z-score test comparing the difference in the proportion of clinically elevated scores between the norming sample and the current mild TBI sample.
c
Subscale that discriminates the groups at the p<0.05 level.

Associations Between a History of Previous TBI and Emotional-Behavioral Functioning

Results showing associations between parent-reported preinjury emotional-behavioral problems and the number of previous mild TBIs are summarized in Table 3. The number of previous mild TBIs was not equivalent among groups falling in the normal, at-risk, or clinical range for overall behavioral problems (behavioral symptoms index: F(2, 259)=4.12, p=0.02, η2p=0.031). Children rated as at risk for behavioral problems had more previous mild TBIs than children in the normal range. The number of previous mild TBIs also differed among groups falling in the normal, at-risk, or clinical range for externalizing problems (F(2, 259)=3.70, p=0.03, η2p=0.028). In this case, children rated as having clinically significant externalizing problems had more previous mild TBIs than did children falling in the normal range, with a medium effect size (Cohen’s d=0.59). A very similar pattern was evident for the three subscales contributing to the externalizing composite, with significant subgroup differences for aggression and conduct problems and marginal findings for hyperactivity (hyperactivity: F(2, 260)=3.78, p=0.06, η2p=0.021; aggression: F(2, 260)=3.51, p=0.03, η2p=0.026; and conduct problems: F(2, 259)=4.74, p=0.01, η2p=0.035). After correction for multiple comparisons, significant subgroup differences were evident only for conduct problems, in which case children falling in the clinical range had more previous TBIs than children falling in either the at-risk or normal range. Results for the three subscales contributing to the externalizing composite are also shown in Figure 1. The number of previous mild TBIs also differed among groups falling in the normal, at-risk, and clinical range for somatization (F(2, 260)=5.91, p=0.003, η2p=0.031); in this case, children falling in the clinical range had more previous TBIs than children falling in the normal range. The number of previous mild TBIs did not differ according to parent ratings of overall preinjury internalizing problems or for any other subscale.
TABLE 3. Number of Previous Mild TBIs for Groups Falling in the Normal, At-Risk, or Clinical Range on Parent-Report BASC-2a
Parent BASC-2 Subscale or CompositeNumber of Previous TBIs, Mean (SD)
Normal RangeAt-Risk RangeClinical Range
Behavioral symptoms indexb0.80 (1.07)*1.50 (1.64)**0.71 (1.50)*,**
Externalizing problemsb0.81 (1.90)*1.00 (1.33)*,**1.80 (2.10)**
 Hyperactivity0.79 (1.08)1.13 (1.57)1.46 (1.51)
 Aggressionb0.79 (1.07)*1.35 (1.56)*1.60 (2.51)*
 Conduct problemsb0.81 (1.08)*0.95 (1.35)*2.00 (2.12)**
Internalizing problems0.80 (1.09)1.28 (1.53)0.94 (1.29)
 Anxiety0.92 (1.19)0.66 (1.04)0.45 (0.95)
 Depression0.82 (1.09)0.93 (1.29)1.29 (1.90)
 Somatizationb0.74 (1.03)*1.18 (1.52)*,**1.64 (1.50)**
Atypicality0.85 (1.14)0.92 (1.24)1.00 (1.54)
Withdrawal0.88 (1.14)0.60 (1.47)0.50 (0.58)
Attention problems0.80 (1.08)1.11 (1.49)1.08 (1.51)
a
Cells with the same asterisk symbols within a row do not differ at the p<0.05 level (corrected for multiple comparisons with the Tukey test). BASC-2, Behavior Assessment System for Children–Second Edition; TBI, traumatic brain injury.
b
Subscales/composites that discriminate the groups at the p<0.05 level.
FIGURE 1. Number of Previous Mild TBI According to Parent Rating of Externalizing Problems Before the Current Injurya
a BASC-2, Behavior Assessment System for Children–Second Edition; TBI, traumatic brain injury.
To determine whether the relationship between externalizing problems and a history of mild TBI was confounded by demographic variables, we examined associations between the number of previous mild TBIs and age, gender, race, parent educational level, and estimated child IQ. Older participants tended to report a greater number of previous mild TBIs (r=0.15, p=0.01). Furthermore, boys reported more previous mild TBI than girls (boys: mean=1.14, SD=1.29; girls: mean=0.50, SD=0.87; t(255.4)=4.77, p<0.001). There were no associations between the number of previous mild TBIs and race, parent educational level, or child IQ. We performed follow-up analyses of covariance examining differences in the number of mild TBIs for groups falling in the normal, at-risk, or clinical ranges on the BASC-2 scales, covarying age and gender. The pattern of results was essentially identical to the analysis of variance reported above, yielding no evidence that the link between externalizing problems or somatization and a history of previous TBI was better accounted for by demographic variables.

Discussion

In stark contrast with children who sustain a severe TBI, which can profoundly alter their developmental trajectories, most children recover quickly and well after a mild TBI. However, a minority of pediatric patients reports lingering postconcussive problems, including physical (e.g., headaches), cognitive (e.g., distractibility), and emotional (e.g., irritability) symptoms.7 The basis for protracted recovery after mild TBI has been a source of longstanding controversy,31 with disagreement centering on whether problems are of primarily “psychogenic” or “physiogenic” origin. Clearly, this debate oversimplifies the key questions. First, it implies that problems must be of exclusively physiological or psychological origin. Second, it sets up a false dichotomy; because the brain is the organ of all behavior, even indirect effects related to stress or emotional concerns must be neurologically mediated. Researchers have recently begun moving beyond these oversimplifications by attempting to account for both injury-related and noninjury-related factors in outcomes after mild TBI.911 This study highlights the importance of one noninjury-related factor—premorbid emotional-behavioral functioning—in understanding persistent problems after pediatric mild TBI.
We found that the rate of preinjury anxiety was elevated in this sample of children with lingering postconcussive problems, echoing a recent finding in adults.32 We believe that there are several reasons why premorbid anxiety could potentially place children at risk for prolonged recovery after mild TBI. Anxiety and somatic symptoms are closely linked in pediatric populations, including symptoms that overlap with “postconcussive” problems (e.g., headaches or stomach upset).13,33 Shortly after mild TBI, anxious children and/or their parents may misattribute some of these symptoms to injury effects, similar to what has been shown in adults.34 Furthermore, children with anxiety are more likely to be hypervigilant to pain and other physical problems that would be expected in the initial days or weeks after mild TBI.35 This hypervigilance may in turn exacerbate both their physical discomfort and their anxiety, creating a positive feedback loop. Children with anxiety are less likely to use adaptive coping skills in the face of a stressor, such as an injury.36 These children might be especially vulnerable after mild TBI because of fears that they have suffered permanent brain damage and may never fully recover, consistent with research showing that illness perception affects recovery from mild TBI in adults.37 Of course, these possibilities are not mutually exclusive. To begin to disentangle their relative contributions, future outcome studies on mild TBI should include more specific measures of health-related anxiety. In addition, future research could compare anxious children who sustain a mild TBI with anxious children who sustain injuries not involving the head, or future studies could more specifically examine how anxious children who have sustained a mild TBI perceive and cope with their injuries.
We also found confirmatory evidence that externalizing problems are linked to exposure to mild TBI. Children with clinically significant externalizing problems before the presenting injury had sustained, on average, nearly twice as many previous mild TBIs compared with children with normal-range externalizing problems. Because information about previous injuries and externalizing problems was collected at a single time point, the current data do not speak to causal direction. It may be that impulsivity and other acting-out behaviors place children at risk for sustaining mild TBI. On the other hand, a history of multiple mild TBIs may convey some risk for elevated externalizing problems after injury. We believe that the former interpretation is likely primary, on the basis of previous research comparing children who sustain a mild TBI with those who sustain injuries not involving the head.4,18 However, in our clinical experience, teachers or parents will sometimes attribute cognitive or learning difficulties to a recent mild TBI, even when the problems do not clearly represent a change from baseline or when functional changes are more likely to relate to shifting environmental demands such as a normal developmental increase in academic expectations (e.g., progressing from middle school to high school). Externalizing disorders are associated with academic and neurocognitive impairment,38 and once again, there is overlap between the features of these disorders and postconcussive symptoms (e.g., distractibility). Finally, we found that the number of previous mild TBIs was associated with clinically significant levels of somatization. Again, the reason for this finding is ambiguous. It may be that children with more previous TBIs experience more persistent postinjury physical symptomatology. Alternatively, among children with a history of multiple TBIs, those with a tendency to somaticize may be more likely to seek neuropsychological consultation. Overall, these results also highlight the need to consider preinjury functioning in children who present with persisting concerns after a mild TBI.
Our findings must be interpreted in the context of several additional limitations. First, we used a convenience sample of children who were clinically referred, which was not representative of the broader pediatric mild TBI population because most children recover quickly after injury and thus would not be referred for neuropsychological evaluation. Parents in this sample are almost certainly more concerned about their children’s functioning than are parents who do not seek neuropsychological evaluation for their children after a TBI. For this same reason, it is likely that our sample differs from an epidemiological mild TBI sample in various injury-related variables (e.g., mechanism of injury, number of previous mild TBIs, and likelihood of undergoing imaging). Second, emotional-behavioral functioning was rated retrospectively, which probably introduced a variety of biases. For example, parents could have updated their impression of the child’s previous functioning in light of current functioning, which might have caused them to over-report preinjury problems. Arguing against this concern is previous empirical demonstration of the “good old days” bias after a pediatric mild TBI, in which parents systematically under-report their children’s preinjury problems.39 Some aspects of the current data are consistent with the “good old days” bias. Parents rated the average preinjury depression and attention scores in the current sample as essentially identical to national norms, despite reporting that nearly 20% of the sample had been formally diagnosed or treated for a depressive disorder or attention deficit hyperactivity disorder. We assume that relatively more objective, binary questions about diagnostic history are less likely to be biased than responses on a relatively more subjective, continuous questionnaire. Similarly, although externalizing problems were linked to a history of previous mild TBI, mean ratings for externalizing problems in the sample as a whole were close to national norms. It is important to note that the “good old days” bias acts conservatively in this study, because it makes it more difficult to detect preinjury emotional-behavioral problems. A third limitation was that preinjury emotional-behavioral functioning was assessed by a single rater (typically a parent), and we did not have self-report or teacher ratings. Finally, we did not have data for a control group of children with injuries not involving the head; therefore, comparisons were made relative to national norms instead. Thus, obtained differences could owe to differences between our sample and the norming sample on background characteristics, rather than effects specific to mild TBI.
Despite these limitations, our results make a novel contribution to the small body of work investigating the role of premorbid emotional-behavioral functioning in pediatric mild TBI outcome, and they have implications for both research and practice. From a research standpoint, these results highlight the need for outcome studies on mild TBI to rigorously account for preinjury emotional-behavioral functioning. Of course, prospective studies are optimal in this regard. Although previous prospective studies have been quite powerful in describing the natural history of mild TBI,3,40 assessment of baseline emotional-behavioral functioning has typically been quite limited. When prospective designs are not feasible, researchers should consider using control groups that can help account for factors associated with exposure to injury (e.g., orthopedically injured controls).
From a clinical standpoint, our results suggest that providers should carefully consider preinjury emotional-behavioral functioning when evaluating and managing children with persistent problems after a mild TBI. For many children with persistent symptomatology, difficulties are unlikely to owe exclusively to direct, injury-related factors. Indeed, for anxious children, communicating the assumption that lingering problems reflect more severe neurological injury could have iatrogenic effects. Such children are likely to benefit most from reassurance from a brain injury perspective, along with cognitive-behavioral treatment focused on stress reduction, pain management, and positive coping strategies. On the basis of our findings, we also speculate that children with clinically significant anxiety might particularly benefit from psychoeducation immediately after a mild TBI and that targeted early interventions (e.g., relaxation training) could possibly help prevent the development of persistent postconcussive complaints in this population. These would also be fruitful questions for future research.

Acknowledgments

The authors thank Derek Mason for assistance in preparing the manuscript.

References

1.
Faul M, Xu L, Wald MM, et al: Traumatic Brain Injury in the United States: Emergency Department Visits, Hospitalizations and Deaths 2002-2006. Atlanta, Centers for Disease Control and Prevention, National Center for Injury Prevention and Control, 2010
2.
Hung R, Carroll LJ, Cancelliere C, et al: Systematic review of the clinical course, natural history, and prognosis for pediatric mild traumatic brain injury: results of the International Collaboration on Mild Traumatic Brain Injury Prognosis. Arch Phys Med Rehabil 2014; 95(Suppl):S174–S191
3.
Babikian T, Satz P, Zaucha K, et al: The UCLA longitudinal study of neurocognitive outcomes following mild pediatric traumatic brain injury. J Int Neuropsychol Soc 2011; 17:886–895
4.
Bijur PE, Haslum M, Golding J: Cognitive and behavioral sequelae of mild head injury in children. Pediatrics 1990; 86:337–344
5.
Ponsford J, Willmott C, Rothwell A, et al: Cognitive and behavioral outcome following mild traumatic head injury in children. J Head Trauma Rehabil 1999; 14:360–372
6.
Mittenberg W, Wittner MS, Miller LJ: Postconcussion syndrome occurs in children. Neuropsychology 1997; 11:447–452
7.
Yeates KO, Taylor HG, Rusin J, et al: Longitudinal trajectories of postconcussive symptoms in children with mild traumatic brain injuries and their relationship to acute clinical status. Pediatrics 2009; 123:735–743
8.
McCrea M, Guskiewicz K, Randolph C, et al: Incidence, clinical course, and predictors of prolonged recovery time following sport-related concussion in high school and college athletes. J Int Neuropsychol Soc 2013; 19:22–33
9.
McNally KA, Bangert B, Dietrich A, et al: Injury versus noninjury factors as predictors of postconcussive symptoms following mild traumatic brain injury in children. Neuropsychology 2013; 27:1–12
10.
Yeates KO, Taylor HG, Rusin J, et al: Premorbid child and family functioning as predictors of post-concussive symptoms in children with mild traumatic brain injuries. Int J Dev Neurosci 2012; 30:231–237
11.
Babikian T, McArthur D, Asarnow RF: Predictors of 1-month and 1-year neurocognitive functioning from the UCLA longitudinal mild, uncomplicated, pediatric traumatic brain injury study. J Int Neuropsychol Soc 2013; 19:145–154
12.
Iverson GL: Misdiagnosis of the persistent postconcussion syndrome in patients with depression. Arch Clin Neuropsychol 2006; 21:303–310
13.
Dorn LD, Campo JC, Thato S, et al: Psychological comorbidity and stress reactivity in children and adolescents with recurrent abdominal pain and anxiety disorders. J Am Acad Child Adolesc Psychiatry 2003; 42:66–75
14.
Pine DS, Cohen P, Brook J: The association between major depression and headache: results of a longitudinal epidemiologic study in youth. J Child Adolesc Psychopharmacol 1996; 6:153–164
15.
DiScala C, Lescohier I, Barthel M, et al: Injuries to children with attention deficit hyperactivity disorder. Pediatrics 1998; 102:1415–1421
16.
Brehaut JC, Miller A, Raina P, et al: Childhood behavior disorders and injuries among children and youth: a population-based study. Pediatrics 2003; 111:262–269
17.
Rowe R, Maughan B, Goodman R: Childhood psychiatric disorder and unintentional injury: findings from a national cohort study. J Pediatr Psychol 2004; 29:119–130
18.
Willcutt EG, Nigg JT, Pennington BF, et al: Validity of DSM-IV attention deficit/hyperactivity disorder symptom dimensions and subtypes. J Abnorm Psychol 2012; 121:991–1010
19.
Keenan HT, Hall GC, Marshall SW: Early head injury and attention deficit hyperactivity disorder: retrospective cohort study. BMJ 2008;337:a1984
20.
McKinlay A, Grace RC, Horwood LJ, et al: Long-term behavioural outcomes of pre-school mild traumatic brain injury. Child Care Health Dev 2010; 36:22–30
21.
Whalley LJ, Deary IJ, Appleton CL, et al: Cognitive reserve and the neurobiology of cognitive aging. Ageing Res Rev 2004; 3:369–382
22.
Fay TB, Yeates KO, Taylor HG, et al: Cognitive reserve as a moderator of postconcussive symptoms in children with complicated and uncomplicated mild traumatic brain injury. J Int Neuropsychol Soc 2010; 16:94–105
23.
Kirkwood MW, Kirk JW: The base rate of suboptimal effort in a pediatric mild TBI sample: performance on the Medical Symptom Validity Test. Clin Neuropsychol 2010; 24:860–872
24.
Kirkwood MW, Connery AK, Kirk JW, et al: Detecting performance invalidity in children: not quite as easy as A, B, C, 1, 2, 3 but automatized sequences appears promising. Child Neuropsychol 2014; 20:245–252
25.
Kirkwood MW, Hargrave DD, Kirk JW: The value of the WISC-IV Digit Span subtest in detecting noncredible performance during pediatric neuropsychological examinations. Arch Clin Neuropsychol 2011; 26:377–384
26.
Kirkwood MW, Yeates KO, Randolph C, et al: The implications of symptom validity test failure for ability-based test performance in a pediatric sample. Psychol Assess 2012; 24:36–45
27.
Wechsler D: Wechsler Abbreviated Scale of Intelligence. San Antonio, TX, The Psychological Corporation, 1999
28.
Mild Traumatic Brain Injury Committee of the Head Injury Interdisciplinary Special Interest Group of the American Congress of Rehabilitation Medicine: Definition of mild traumatic brain injury. J Head Trauma Rehabil 1993; 8:86–87
29.
Reynolds CR, Kamphaus RW: Behavior Assessment System for Children, 2nd ed. Circle Pines, MN, American Guidance Service, 2004
30.
Ensign J, Maricle DE, Brown C, et al: Psychosocial subtypes on the behavior assessment system for children, second edition following pediatric traumatic brain injury. Arch Clin Neuropsychol 2012; 27:277–292
31.
Lishman WA: Physiogenesis and psychogenesis in the ‘post-concussional syndrome’. Br J Psychiatry 1988; 153:460–469
32.
Ponsford J, Cameron P, Fitzgerald M, et al: Predictors of postconcussive symptoms 3 months after mild traumatic brain injury. Neuropsychology 2012; 26:304–313
33.
White KS, Farrell AD: Anxiety and psychosocial stress as predictors of headache and abdominal pain in urban early adolescents. J Pediatr Psychol 2006; 31:582–596
34.
Smith-Seemiller L, Fow NR, Kant R, et al: Presence of post-concussion syndrome symptoms in patients with chronic pain vs mild traumatic brain injury. Brain Inj 2003; 17:199–206
35.
Vervoort T, Goubert L, Eccleston C, et al: Catastrophic thinking about pain is independently associated with pain severity, disability, and somatic complaints in school children and children with chronic pain. J Pediatr Psychol 2006; 31:674–683
36.
Legerstee JS, Garnefski N, Jellesma FC, et al: Cognitive coping and childhood anxiety disorders. Eur Child Adolesc Psychiatry 2010; 19:143–150
37.
Whittaker R, Kemp S, House A: Illness perceptions and outcome in mild head injury: a longitudinal study. J Neurol Neurosurg Psychiatry 2007; 78:644–646
38.
Hinshaw SP: Externalizing behavior problems and academic underachievement in childhood and adolescence: causal relationships and underlying mechanisms. Psychol Bull 1992; 111:127–155
39.
Brooks BL, Kadoura B, Turley B, et al: Perception of recovery after pediatric mild traumatic brain injury is influenced by the “good old days” bias: tangible implications for clinical practice and outcomes research. Arch Clin Neuropsychol 2014; 29:186–193
40.
McCrea M; American Academy of Clinical Neuropsychology: Mild Traumatic Brain Injury and Postconcussion Syndrome: The New Evidence Base for Diagnosis and Treatment. New York, Oxford University Press, 2008

Information & Authors

Information

Published In

Go to The Journal of Neuropsychiatry and Clinical Neurosciences
Go to The Journal of Neuropsychiatry and Clinical Neurosciences
The Journal of Neuropsychiatry and Clinical Neurosciences
Pages: 280 - 286
PubMed: 26258490

History

Received: 4 December 2014
Revision received: 23 February 2015
Accepted: 3 March 2015
Published online: 10 August 2015
Published in print: Fall 2015

Authors

Affiliations

Robin L. Peterson, Ph.D.
From the Dept. of Physical Medicine and Rehabilitation, University of Colorado School of Medicine and Children’s Hospital Colorado, Aurora.
Amy K. Connery, Psy.D.
From the Dept. of Physical Medicine and Rehabilitation, University of Colorado School of Medicine and Children’s Hospital Colorado, Aurora.
David A. Baker, Psy.D.
From the Dept. of Physical Medicine and Rehabilitation, University of Colorado School of Medicine and Children’s Hospital Colorado, Aurora.
Michael W. Kirkwood, Ph.D.
From the Dept. of Physical Medicine and Rehabilitation, University of Colorado School of Medicine and Children’s Hospital Colorado, Aurora.

Notes

Send correspondence to Dr. Peterson; e-mail: [email protected]

Funding Information

Dr. Kirkwood receives royalties from Guilford Press. All other authors report no financial relationships with commercial interests.

Metrics & Citations

Metrics

Citations

Export Citations

If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download.

For more information or tips please see 'Downloading to a citation manager' in the Help menu.

Format
Citation style
Style
Copy to clipboard

There are no citations for this item

View Options

View options

PDF/ePub

View PDF/ePub

Get Access

Login options

Already a subscriber? Access your subscription through your login credentials or your institution for full access to this article.

Personal login Institutional Login Open Athens login
Purchase Options

Purchase this article to access the full text.

PPV Articles - Journal of Neuropsychiatry and Clinical Neurosciences

PPV Articles - Journal of Neuropsychiatry and Clinical Neurosciences

Not a subscriber?

Subscribe Now / Learn More

PsychiatryOnline subscription options offer access to the DSM-5-TR® library, books, journals, CME, and patient resources. This all-in-one virtual library provides psychiatrists and mental health professionals with key resources for diagnosis, treatment, research, and professional development.

Need more help? PsychiatryOnline Customer Service may be reached by emailing [email protected] or by calling 800-368-5777 (in the U.S.) or 703-907-7322 (outside the U.S.).

Media

Figures

Other

Tables

Share

Share

Share article link

Share