2.0 CE Credits - Special Issue: Resilience (JINS 25:4, 2019): CE Bundle 1

- Explain the moderating effect of cognitive reserve with regard to the impact of traumatic brain injury (TBI) on children’s intelligence, as assessed with the WISC–V.
- Describe which domains are still most sensitive to severity of TBI, even after accounting for cognitive reserve.
- define resilience and supporting factors following neonatal brain injury according to the parent perspective and
- identify key neurological and psychosocial predictors of early developmental and mental health outcomes following neonatal brain injury.
- define psychological resilience, and
- describe the role of psychological resilience in predicting post-concussive symptoms in children with poor recovery from concussion.
- Describe the construct of wellness
- List what predictors are significantly associated with “wellness” after concussion in children and adolescents
Target Audience: | Intermediate |
---|---|
Availability: | Date Available: 2019-06-10 |
You may obtain CE for this JINS package at any time. | |
Offered for CE | Yes |
Cost | Members $10 |
Non-Members $15 | |
Refund Policy | This JINS package is not eligible for refunds |
CE Credits | 2.0 |
Acquired brain injuries (ABI) involve damage to the brain that occurs after birth and is not due to congenital or genetic causes. ABI are prevalent throughout childhood and adolescence and arise from a range of causes, including traumatic brain injury (TBI) and non-traumatic insults such as stroke, brain tumors, infections, and hypoxia. The adverse effects of pediatric ABI have been extensively documented; regardless of etiology, they can affect multiple domains, including physical, cognitive, social, adaptive, and behavioral functioning. Impairments caused by ABI typically follow a dose–response relation, with more severe and diffuse injuries resulting in worse and more persistent negative outcomes, often leading to lifelong impairments and poor quality of life.
Most research on the consequences of ABI focuses on the difficulties and deficits that occur as a result of the injury. In this context, it is easy to forget that some children with ABI exhibit surprisingly rapid or good recovery, display positive outcomes, and return to, or even exceed, pre-injury levels of functioning. Indeed, some children with ABI are able to adapt to their symptoms and sequelae, compensate for any impairments, succeed in academic, social, and community settings, and experience good quality of life.
Accounts of good recovery after ABI are readily available. For example, a subgroup of children with severe TBI show no deficits in one or more domains of functioning (neuropsychological, behavioral, adaptive, academic) between 6 months and 4 years postinjury (Fay et al., 2009). At the milder end of the TBI spectrum, most children who sustain mild TBI or concussion display no postconcussive symptoms or neuropsychological difficulties within 1 month of their injuries (Beauchamp et al., 2018; Zemek et al., 2016). Other ABI populations also display instances of positive outcome. Adolescents born extremely premature, many of whom sustain perinatal brain injuries, perceive their health and well-being as similar to term-born peers (Hack et al., 2011). Similarly, young adult survivors of childhood brain cancers report unexpectedly good health-related quality of life, which may be attributable to better coping mechanisms and greater optimism (Stam et al., 2006).
Research focusing on positive outcomes after ABI is increasing and has the potential to provide critical information on the factors that are protective or predictive of preserved functioning, and conversely, on what markers may be useful in identifying children at-risk for poor outcome. Positive outcomes can be conceptualized in a variety of ways and using diverse methodologies. Many authors evoke the notion of resilience to explain seemingly contradictory associations between experienced hardship and favorable outcome. Resilience can be broadly defined as “the capacity of a dynamic system to adapt successfully to disturbances that threaten system function, viability, or development”; applied specifically to psychological disciplines, it usually refers to “positive adaptation in the context of risk or adversity” (Masten, 2014, pp. 9–10). For example, evidence suggests that certain aspects of resilience (Losoi et al., 2015; Tonks et al., 2011) and character strengths such as hope, zest, and courage (Hanks et al., 2014) are associated with better outcome after TBI.
Research focusing on healthy behaviors and quality of life and their determinants offers additional insights into what factors are associated with well-being after ABI such as stroke, brain tumors, and TBI (e.g., Di Battista et al., 2014; Gupta & Jalali, 2017; O’Keeffe et al., 2017). For example, health promotion and self-efficacy have been shown to be positively associated with health status, life satisfaction, and participation after TBI (Braden et al., 2012). Thus, healthy behaviors and quality of life, while often operationalized as indicators of poor outcome after ABI, can also be used to identify patients and families with good outcomes.
Collectively, descriptors referring to positive psychology, plasticity, reserve, resilience, character strengths, coping, healthy behaviors, and quality of life can be subsumed under the broader notion of “wellness,” defined by the World Health Organization as the absence of disease or infirmity in combination with a state of complete physical, mental, and social well-being (WHO, 1946). Wellness may thus be conceptualized as an umbrella term for a range of predictors, measures, and outcomes of optimal functioning and constitutes an interesting avenue for exploring “the other side of ABI.”
The aim of this special section of JINS is to showcase a collection of empirical articles that address notions of resilience and wellness after pediatric ABI. The articles concern a variety of etiologies of ABI, including TBI and concussion, neonatal stroke and hypoxic-ischemic encephalopathy, extremely low birthweight and prematurity, and brain tumor. They also represent a range of definitions and conceptualizations of resilience and wellness, and describe a variety of methodological approaches.
Several key distinctions are reflected in the articles. One is whether resilience and wellness are defined in terms of outcomes or in terms of characteristics that may predict outcomes. For example, Durish et al. examine psychological resilience as a predictor of concussion outcomes in adolescents, showing that it predicts postconcussive symptoms, as mediated by anxiety and depressive symptoms. Similarly, Donders et al. focus on cognitive reserve, as measured by maternal education, as a moderator and predictor of cognitive outcomes after TBI in children. In both of these studies, resilience is viewed as a personal characteristic that can affect outcomes.
By contrast, Taylor et al. define resilience in terms of positive academic and behavioral outcomes of children born preterm and extremely low birthweight. They show that resilience defined in this fashion is predicted by factors such as children’s cognitive functioning and learning, and more advantaged family environments. In a similar fashion, Beauchamp et al. examine wellness after pediatric concussion, with wellness defined in terms of multiple endpoints. They show that wellness can be predicted by children’s age and developmental history, as well as by injury mechanism and acute mental status. In these two studies, resilience and wellness are defined as outcomes in and of themselves, and the focus is on identifying the factors that help to predict them.
Another key distinction reflected in the papers is that resilience and wellness are very much in the eye of the beholder. That is, researchers and health-care providers may have different definitions of resilience and wellness than children with ABI or their parents. Williams et al. use a mixed methods approach to examine how parents of children with neonatal brain injury define resilience and show that qualitative and quantitative definitions are aligned but distinct. They also show that resilience in this population depends on close medical follow-up, early intervention, and intrinsic child and parent factors. McCarron et al. argue that resilience and wellness should be defined in terms of the goals of children with ABI if rehabilitation is to be truly patient centered. They show that the key goals for youth with ABI focus on activities and participation, body function, and environmental factors.
The papers also reflect a key distinction between resilience as defined by intrinsic versus extrinsic factors. Conklin et al. study aerobic fitness and motor proficiency as intrinsic characteristics that may promote better cognitive outcomes in children who are brain tumor survivors. Durish et al. and Donders et al. also treat resilience as an intrinsic characteristic, be it psychological resilience or cognitive reserve, respectively. In contrast, Taylor et al. and Williams et al. show how extrinsic factors, such as the family environment and the quality of health care, can promote resilience and wellness.
A final important distinction reflected by the papers is that resilience can be defined at different levels of analysis. Although resilience and wellness are defined in most cases at the level of children’s behavioral or psychological outcomes, they can also potentially be defined in terms of brain health. Conklin et al. use task-based functional magnetic resonance imaging to understand the neural substrates associated with better motor proficiency. Christensen et al. present a brief literature review to suggest that children’s developing brains may demonstrate a surprising resilience in response to ABI, evidenced by reduced vulnerability to confabulation. However, more work is needed to determine the underlying neural mechanisms that may protect against confabulation in younger brains.
The range of definitions and measures used in the studies in this special section reflects not only the breadth of concepts relevant to positive outcomes, but also the fact that applying positive perspectives to the study of ABI is a relatively new endeavor. Nonetheless, rehabilitation researchers are already exploring the efficacy of positive psychology, positive parenting interventions, and health and wellness programs for promoting optimal outcome in individuals with ABI (e.g., Andrewes et al., 2014; Antonini et al., 2012; Ashworth et al., 2015; Brenner et al., 2012). The conceptual boundaries between the constructs of positive psychology, plasticity, reserve, resilience, character strengths, coping, healthy behaviors, optimal outcome, quality of life, and wellness may well be somewhat blurry. Nevertheless, future research on who does well after pediatric ABI constitutes fertile ground for furthering the science of resilience and for developing interventions to promote wellness among children with ABI.
Traumatic brain injury can result in cognitive impairments in children. The objective of this retrospective study was to determine to what extent such outcomes are moderated by cognitive reserve, as indexed by parental education.
Sixty 6- to 16-year-old children completed the Wechsler Intelligence Scale for Children—Fifth Edition (WISC–V) within 30–360 days after having sustained a traumatic brain injury (TBI). Their Full-Scale IQ and factor index scores were compared to those of demographically matched controls. In addition, regression analysis was used to investigate in the TBI group the influence of injury severity in addition to parental education on WISC–V factor index scores.
Cognitive reserve moderated the effect of TBI on WISC–V Full Scale IQ, Verbal Comprehension, and Visual Spatial. In the TBI group, it also had a protective effect with regard to performance on the Verbal Comprehension, Visual Spatial, and Fluid Reasoning indices. At the same time, greater injury severity was predictive of lower Visual Spatial and Processing Speed index scores in the TBI group.
Cognitive reserve as reflected in parental education has a moderating effect with regard to children’s performance on the WISC–V after TBI, such that higher cognitive reserve is associated with greater preservation of acquired word knowledge and understanding of visual relationships. Measures that emphasize speed of processing remain affected by severity of TBI, even after accounting for the protective effect associated with cognitive reserve. (JINS, 2019, 25, 355–361)
- Allen, D. N., Thaler, N. S., Donohue, B., & Mayfield, J. (2010). WISC–IV profiles in children with traumatic brain injury: Similarities to and differences from the WISC-III. Psychological Assessment, 22, 57–64. CrossRef Google Scholar PubMed
- Babikian, T., McArthur, D., & Asarnow, R. F. (2013). Predictors of 1-month and 1-year neurocognitive functioning from the UCLA longitudinal mild, uncomplicated, pediatric traumatic brain injury study. Journal of the International Neuropsychological Society, 19, 145–154. CrossRef Google Scholar PubMed
- Catroppa, C., Anderson, V., Beauchamp, M. H., & Yeates, K. O. (2016). New frontiers in pediatric traumatic brain injury. New York, NY: Routledge. CrossRef Google Scholar
- Dennis, M., Yeates, K. O., Taylor, H. G., & Fletcher, J. M. (2006). Brain reserve capacity, cognitive reserve capacity, and age-based functional plasticity after congenital and acquired brain injury in children. In Y. Stern (Ed.), Cognitive reserve: Theory and application (pp. 53–83). Howe, UK: Taylor & Francis. Google Scholar
- Donders, J., & Janke, K. (2008). Criterion validity of the Wechsler Intelligence Scale for Children – Fourth Edition after pediatric traumatic brain injury. Journal of the International Neuropsychological Society, 14, 651–655. CrossRef Google Scholar PubMed
- Donders, J., & Nesbit-Greene, K. (2004). Predictors of neuropsychological test performance after pediatric traumatic brain injury. Assessment, 11, 275–284. CrossRef Google Scholar PubMed
- Donders, J., & Stout, J. (2019). The influence of cognitive reserve on recovery from traumatic brain injury. Archives of Clinical Neuropsychology, 34, 206–213. CrossRef Google Scholar PubMed
- Farmer, J. E., Kanne, S. M., Haut, J. S., Williams, J., Johnstone, B., & Kirk, K. (2002). Memory functioning following traumatic brain injury in children with premorbid learning problems. Developmental Neuropsychology, 22, 455–469. CrossRef Google Scholar PubMed
- Fay, T. B., Yeates, K. O., Taylor, H. G., Bangert, B., Dietrich, A., Nuss, K., . . . Wright, M. (2010). Cognitive reserve as a moderator of postconcussive symptoms in children with complicated and uncomplicated mild traumatic brain injury. Journal of the International Neuropsychological Society, 16, 94–105. CrossRef Google Scholar PubMed
- Fuentes, A., McKay, C., & Hay, C. (2010). Cognitive reserve in pediatric traumatic brain injury: Relationship with neuropsychological outcome. Brain Injury, 24, 995–1002. CrossRef Google Scholar
- Green, R. E. A., Melo, B., Christensen, B., Ngo, L.-A., Monette, G., & Bradbury, C. (2008). Measuring premorbid IQ in traumatic brain injury: An examination of the validity of the Wechsler Test of Adult Reading (WTAR). Journal of Clinical and Experimental Neuropsychology, 30, 1–10. CrossRef Google Scholar
- Kesler, S. R., Adams, H. F., Blasey, C. M., & Bigler, E. D. (2003). Premorbid intellectual functioning, education, and brain size in traumatic brain injury: An investigation of the cognitive reserve hypothesis. Applied Neuropsychology, 10, 153–162. CrossRef Google Scholar PubMed
- Kesler, S. R., Tanaka, H., & Koovakkattu, D. (2010). Cognitive reserve and brain volumes in acute lymphoblastic leukemia. Brain Imaging and Behavior, 4, 256–259. CrossRef Google Scholar PubMed
- Langlois, J. A., Rutland-Brown, W., & Thomas, K. E. (2006). Traumatic brain injury in the United States: Emergency department visits, hospitalizations, and deaths. Atlanta, GA: Centers for Disease Control and Prevention. Google Scholar
- Leary, J. B., Kim, G. Y., Bradley, C. L., Hussain, U. Z., Sacco, M., Bernad, M., . . . Chan, L. (2018). The association of cognitive reserve in chronic-phase functional and neuropsychological outcomes following traumatic brain injury. Journal of Head Trauma Rehabilitation, 33, E28–E35. Google Scholar PubMed
- Mathias, J. L., & Wheaton, P. (2015). Contribution of brain or biological reserve and cognitive or neural reserve to outcome after TBI: A meta-analysis (prior to 2015). Neuroscience and Biobehavioral Reviews, 55, 573–593. CrossRef Google Scholar
- Murphy, K. R., & Myors, B. (2004). Statistical power analysis (2nd ed). Mahwah, NJ: Lawrence Erlbaum. Google Scholar
- Oldenburg, C., Lundin, A., Edman, G., Nygren-deBoussard, C., & Bartfai, A. (2016). Cognitive reserve and persistent post-concussion symptoms—A prospective mild traumatic brain (mTBI) cohort study. Brain Injury, 30, 146–155. CrossRef Google Scholar PubMed
- Rassovsky, Y., Levi, Y., Agranov, E., Sela-Kaufman, M., Sverdlik, A., & Vakil, E. (2015). Predicting long-term outcome following traumatic brain injury (TBI). Journal of Clinical and Experimental Neuropsychology, 37, 354–366. CrossRef Google Scholar
- Ris, M. D., & Hiscock, M. (2013). Modeling cognitive aging following early central nervous system injury. In I. S. Baron & C. Rey-Casserly (Eds.), Pediatric neuropsychology: Medical advances and lifespan outcomes (pp. 395–421). New York, NY: Oxford. Google Scholar
- Roebuck-Spencer, T., Désiré, N., & Beauchamp, M. (2018). Traumatic brain injury. In J. Donders & S. J. Hunter (Eds.), Neuropsychological conditions across the lifespan (pp. 139–161). Cambridge, UK: University Press. CrossRef Google Scholar
- Satz, P. (1993). Brain reserve capacity on symptom onset after brain injury: A formulation and review of evidence for threshold theory. Neuropsychology, 7, 273–295. CrossRef Google Scholar
- Schneider, E. B., Sur, S., Raymont, V., Duckworth, J., Kowalski, R. G., Effron, D. T., . . . Stevens, R. D. (2014). Functional recovery after moderate/severe traumatic brain injury: A role for cognitive reserve? Neurology, 82, 1636–1642. CrossRef Google Scholar PubMed
- Shultz, E. L., Hoskinson, K. R., Keim, M. C., Dennis, M., Taylor, H. G., Bigler, E. D., . . . Yeates, K. O. (2016). Adaptive functioning following pediatric traumatic brain injury: Relationship to executive function and processing speed. Neuropsychology, 30, 830–840. CrossRef Google Scholar PubMed
- Stern, Y. (2002). What is cognitive reserve? Theory and research applications of the reserve concept. Journal of the International Neuropsychological Society, 8, 448–460. CrossRef Google Scholar
- Tombaugh, T. N. (1996). Test of memory malingering. Toronto, ON: Multi-Health Systems. Google Scholar
- Tong, S., Baghurst, P., Vimpani, G., & McMichael, A. (2007). Socioeconomic position, maternal IQ, home environment, and cognitive development. Journal of Pediatrics, 15, 284–288. CrossRef Google Scholar
- Wechsler, D. (2014). Wechsler Intelligence Scale for Children—Fifth Edition. San Antonio, TX: Pearson. Google Scholar
The current study used a mixed-method design to qualitatively examine parents’ definitions of resilience and factors they believed optimized their child’s early outcome following neonatal brain injury. This was followed by quantitative analyses of early developmental and mental health outcomes and their relation to salient biopsychosocial factors.
Participants were parents of children diagnosed with neonatal brain injury due to stroke or hypoxic-ischemic encephalopathy (N=51; age range of children 18 months to 8 years). The Parent Experiences Questionnaire (PEQ) was used to qualitatively analyze parents’ open-ended responses about their child’s early experiences and outcome. The Child Behavior Checklist (CBCL) and Scales of Independent Behaviour Early Developmental Form (SIB-ED) parent ratings were used to measure child resilience from a quantitative perspective, identifying “at-risk” and “resilient” children using standard cutoffs. “Resilient” and “at-risk” children were compared on biopsychosocial variables using univariate t tests and chi-square analyses.
Parents provided five unique definitions of their child’s positive outcomes, and many children demonstrated resilience based on parent perspectives and quantitative definitions. Supporting factors included close medical follow-up, early intervention, and intrinsic factors within the child and parent. Group comparisons of “resilient” and “at-risk” children highlighted the importance of parent mental health across these early developmental and mental health outcomes.
Many children were described as resilient during the early years by parents using qualitative and quantitative approaches. Findings highlighted the importance of parent well-being in promoting optimal early outcomes. (JINS, 2019, 25, 390–402.)
- Achenbach, T.M., & Ruffle, T.M. (2000). The Child Behavior Checklist and related forms for assessing behavioral/emotional problems and competencies. Pediatrics in Review, 21(8), 265–271. doi:10.1542/pir.21-8-265 CrossRef Google Scholar
- Agnafors, S., Svedin, C.G., Oreland, L., Bladh, M., Comasco, E., & Sydsjö, G. (2017). A biopsychosocial approach to risk and resilience on behavior in children followed from birth to age 12. Child Psychiatry and Human Development, 48(4), 584–596. doi:10.1007/s10578-016-0684-x CrossRef Google Scholar PubMed
- Albrecht, G.L., & Devlieger, P.J. (1999). The disability paradox: High quality of life against all odds. Social Science & Medicine, 48(8), 977–988. doi:10.1016/S0277-9536(98)00411-0 CrossRef Google Scholar PubMed
- Anderson, V., Spencer-Smith, M., Leventer, R., Coleman, L., Anderson, P., Williams, J., . . . Jacobs, R. (2009). Childhood brain insult: Can age at insult help us predict outcome? Brain, 132(1), 45–56. doi:10.1093/brain/awn293 CrossRef Google Scholar PubMed
- Barkovich, A.J., Hajnal, B.L., Vigneron, D., Sola, A., Partridge, J.C., Allen, F., & Ferriero, D.M. (1998). Prediction of neuromotor outcome in perinatal asphyxia: Evaluation of MR scoring systems. AJNR American Journal of Neuroradiology, 19(1), 143–149. Google Scholar PubMed
- Bemister, T.B., Brooks, B.L., Dyck, R.H., & Kirton, A. (2014). Parent and family impact of raising a child with perinatal stroke. BioMed Centrals Pediatrics, 14(1), 182–193. doi:10.1186/1471-2431-14-182 Google Scholar PubMed
- Bemister, T.B., Brooks, B.L., Dyck, R.H., & Kirton, A. (2015). Predictors of caregiver depression and family functioning after perinatal stroke. BioMed Centrals Pediatrics, 15(75), 2–11. doi:10.1186/s12887-015-0397-5 Google Scholar PubMed
- Benjamini, Y., & Hochberg, Y. (1995). Controlling the false discovery rate: A practical and powerful approach to multiple testing. Journal of the Royal Statistical Society, 57(1), 289–300.doi:10.2307/2346101 Google Scholar
- Boat, T.F., Filigno, S., & Amin, R.S. (2017). Wellness for families of children with chronic health disorders. JAMA Pediatrics, 171(9), 825–826. doi:10.1001/jamapediatrics.2017.1682 CrossRef Google Scholar PubMed
- Braun, V., & Clarke, V. (2006). Using thematic analysis in psychology. Qualitative Research in Psychology, 3(2), 77–101. doi:10.1191/1478088706qp063oa CrossRef Google Scholar
- Bruininks, R.H., Woodcock, R.W., Weatherman, R.F., & Hill, S.K. (1984). Scales of independent behavior - Early developmental form. Rolling Meadows, IL: Riverside Publishing Company. Google Scholar
- Cainelli, E., Trevisanuto, D., Cavallin, F., Manara, R., & Suppiej, A. (2018). Evoked potentials predict psychomotor development in neonates with normal MRI after hypothermia for hypoxic-ischemic encephalopathy. Clinical Neurophysiology, 129(6), 1300–1306. doi:10.1016/j.clinph.2018.03.043 CrossRef Google Scholar PubMed
- Chabrier, S., Peyric, E., Drutel, L., Deron, J., Kossorotoff, M., Dinomais, M., . . . Vuillerot, C. (2016). Multimodal outcome at 7 years of age after neonatal arterial ischemic stroke. Journal of Pediatrics, 172, 156–161. doi:10.1016/j.jpeds.2016.01.069 CrossRef Google Scholar PubMed
- Cicchetti, D., & Blender, J.A. (2006). A multiple-levels-of-analysis perspective on resilience: Implications for the developing brain, neural plasticity, and preventive interventions. Annals of the New York Academy of Sciences, 1094(1), 248–258. doi:10.1196/annals.1376.029 CrossRef Google Scholar PubMed
- Cicchetti, D., Rogosch, F.A., Lynch, M., & Holt, K.D. (1993). Resilience in maltreated children: Processes leading to adaptive outcome. Development and Psychopathology, 5(4), 629–647. doi:10.1017/S0954579400006209 CrossRef Google Scholar
- Compas, B.E., Bemis, H., Gerhardt, C.A., Dunn, M.J., Rodriguez, E.M., Desjardins, L., . . . Vannatta, K. (2015). Mothers and fathers coping with their children’s cancer: Individual and interpersonal processes. Health Psychology, 34(1), 1–11. doi:10.1037/hea0000202 CrossRef Google Scholar PubMed
- Compas, B.E., & Boyer, M.C. (2001). Coping and attention: Implications for child health and pediatric conditions. Developmental and Behavioral Pediatrics, 22(5), 323–333. doi:0196-206X/00/2205-0323 CrossRef Google Scholar PubMed
- Connor-Smith, J.K., Compas, B.E., Wadsworth, M.E., Thomsen, A.H., & Saltzman, H. (2000). Responses to stress in adolescence: Measurement of coping and involuntary stress responses. Journal of Consulting and Clinical Psychology, 68(6), 976–992. doi:10.1037/0022-006X.68.6.976 CrossRef Google Scholar PubMed
- Crawford, J.R., & Henry, J.D. (2003). The Depression Anxiety Stress Scales (DASS): Normative data and latent structure in a large non-clinical sample. The British Journal of Clinical Psychology, 42(2), 111–131. doi:10.1348/014466503321903544 CrossRef Google Scholar
- Cuthbert, B.N., & Insel, T.R. (2013). Toward the future of psychiatric diagnosis: The seven pillars of RDoC. BMC Medicine, 11(1), 126–134. doi:10.1186/1741-7015-11-126 CrossRef Google Scholar PubMed
- de Lima, R.J., de Carvalho Viana, L.R., Mariano de Medeiros, T., Pessoa da Rocha Leal, N., Ferreira da Costa, T., Pereira Martins, K., . . . de Freitas Macedo Costa, K.N. (2016). Resilience in individuals who suffered from stroke: Integrative literature review. International Archives of Medicine, 9(38), 1–9. doi:10.3823/1909 Google Scholar
- Dennis, M. (2010). Margaret Kennard (1899–1975): Not a “Principle” of brain plasticity but a founding mother of developmental neuropsychology. Cortex, 46(8), 1043–1059. doi:10.1016/j.cortex.2009.10.008 CrossRef Google Scholar PubMed
- Dennis, M., Spiegler, B.J., Juranek, J.J., Bigler, E.D., Snead, O.C., & Fletcher, J.M. (2013). Age, plasticity, and homeostasis in childhood brain disorders. Neuroscience and Biobehavioral Reviews, 37(10), 2760–2773. doi:10.1016/j.neubiorev.2013.09.010 CrossRef Google Scholar PubMed
- Elbers, J., DeVeber, G., Pontigon, A.M., & Moharir, M. (2013). Long-term outcomes of pediatric ischemic stroke in adulthood. Journal of Child Neurology, 29(6), 782–788. doi:10.1177/0883073813484358 CrossRef Google Scholar PubMed
- Fuentes, A., Deotto, A., Desrocher, M., DeVeber, G., & Westmacott, R. (2014). Determinants of cognitive outcomes of perinatal and childhood stroke: A review. Child Neuropsychology, 22(1), 1–38. doi:10.1080/09297049.2014.969694 CrossRef Google Scholar PubMed
- Greenham, M., Hearps, S., Gomes, A., Rinehart, N., Gonzalez, L., Gordon, A., . . . Anderson, V. (2015). Environmental contributions to social and mental health outcomes following pediatric stroke. Developmental Neuropsychology, 40(6), 348–362. doi:10.1080/87565641.2015.1095191 CrossRef Google Scholar PubMed
- Hajek, C.A., Yeates, K.O., Anderson, V., Mackay, M., Greenham, M., Gomes, A., & Lo, W. (2014). Cognitive outcomes following arterial ischemic stroke in infants and children. Journal of Child Neurology, 29(7), 887–894. doi:10.1177/0883073813491828 CrossRef Google Scholar PubMed
- Harris, P.A., Taylor, R., Thielke, R., Payne, J., Gonzalez, N., & Conde, J.G. (2009). Research electronic data capture (REDCap) - A metadata-driven methodology and workflow process for providing translational research informatics support. Journal of Biomedical Informatics, 42(2), 377–381. doi:10.1016/j.jbi.2008.08.010 CrossRef Google Scholar PubMed
- Heiman, T. (2002). Parents of children with disabilities: Resilience, coping, and future expectations. Journal of Developmental and Physical Disabilities, 14(2), 159–171. doi:10.1023/A:1015219514621 CrossRef Google Scholar
- Heringhaus, A., Blom, M. D, & Wigert, H. (2013). Becoming a parent to a child with birth asphyxia – From a traumatic delivery to living with the experience at home. International Journal of Qualitative Studies on Health and Well-being, 8(1), 1–13. doi:10.3402/qhw.v8i0.20539 CrossRef Google Scholar PubMed
- Hilliard, M.E., McQuaid, E.L., Nabors, L., & Hood, K.K. (2014). Resilience in youth and families living with pediatric health and developmental conditions: Introduction to the special issue on resilience. Journal of Pediatric Psychology, 40(9), 835–839. doi:10.1093/jpepsy/jsv072 CrossRef Google Scholar
- Johannessen, A., Engedal, K., & Thorsen, K. (2016). Coping efforts and resilience among adult children who grew up with a parent with young-onset dementia: A qualitative follow-up study. International Journal of Qualitative Studies on Health and Well-being, 11(1), 1–12. doi:10.3402/qhw.v11.30535 CrossRef Google Scholar PubMed
- Kazak, A.E., Rourke, M.T., Alderfer, M.A., Pai, A., Reilly, A.F., & Meadows, A.T. (2007). Evidence-based assessment, intervention and psychosocial care in pediatric oncology: A blueprint for comprehensive services across treatment. Journal of Pediatric Psychology, 32(9), 1099–1110. doi:10.1093/jpepsy/jsm031 CrossRef Google Scholar PubMed
- Kirton, A., Westmacott, R., & deVeber, G. (2007). Pediatric stroke: Rehabilitation of focal injury in the developing brain. NeuroRehabilitation, 22(5), 371–382. Google Scholar PubMed
- Kurinczuk, J.J., White-Koning, M., & Badawi, N. (2010). Epidemiology of neonatal encephalopathy and hypoxic-ischaemic encephalopathy. Early Human Development, 86(6), 329–338. doi:10.1016/j.earlhumdev.2010.05.010 CrossRef Google Scholar PubMed
- Lo, W., Gordon, A., Hajek, C., Gomes, A., Greenham, M., Perkins, E., . . . MacKay, M.T. (2013). Social competence following neonatal and childhood stroke. International Journal of Stroke, 9(8), 1037–1044. doi:10.1111/ijs.12222 CrossRef Google Scholar PubMed
- Luthar, S.S., Cicchetti, D., & Becker, B. (2000). The construct of resilience: A critical evaluation and guidelines for future work. Child Development, 71(3), 543–562. doi:10.1111/1467-8624.00164 CrossRef Google Scholar PubMed
- Lynch, J.K., & Han, C.J. (2005). Pediatric stroke: What do we know and what do we need to know? Seminars in Neurology, 25(4), 410–423. doi:10.1055/s-2005-923535 CrossRef Google Scholar PubMed
- Madigan, S., Wade, M., Plamondon, A., Browne, D., & Jenkins, J.M. (2014). Birth weight variability and language development: Risk, resilience, and responsive parenting. Journal of Pediatric Psychology, 40(9), 869–877. doi:10.1093/jpepsy/jsv056 CrossRef Google Scholar
- Marlow, N., Rose, A.S., Rands, C.E., & Draper, E.S. (2005). Neuropsychological and educational problems at school age associated with neonatal encephalopathy. Archives of Disease in Childhood. Fetal and Neonatal Edition, 90(5), 380–387. doi:10.1136/adc.2004.067520 CrossRef Google Scholar PubMed
- Masten, A.S., & Coatsworth, J.D. (1998). The development of competence in favorable and unfavorable environments: Lessons from research on successful children. American Psychologist, 53(2), 205–220. doi:10.1037/0003-066X.53.2.205 CrossRef Google Scholar PubMed
- Masten, A.S., Hubbard, J.J., Gest, S.D., Tellegen, A., Garmezy, N., & Ramirez, M. (1999). Competence in the context of adversity: Pathways to resilience and maladaptation from childhood to late adolescence. Development and Psychopathology, 11(1), 143–169. doi:10.1017/S0954579499001996 CrossRef Google Scholar PubMed
- Max, J.E., Bruce, M., Keatley, E., & Delis, D. (2010). Pediatric stroke: Plasticity, vulnerability, and age of lesion onset. The Journal of Neuropsychiatry and Clinical Neurosciences, 22(1), 30–39. doi:10.1176/appi.neuropsych.22.1.30 CrossRef Google Scholar PubMed
- Miles, M.B., & Huberman, M.A. (1994). Qualitative data analysis: An expanded sourcebook. London: Sage. Google Scholar
- Milgrom, J., Newnham, C., Anderson, P.J., Doyle, L.W., Gemmill, A.W., Lee, K., . . . Inder, T. (2010). Early sensitivity training for parents of preterm infants: Impact on the developing brain. Pediatric Research, 67(3), 330–335. doi:10.1203/PDR.0b013e3181cb8e2f CrossRef Google Scholar PubMed
- Miller, S.P., Ferriero, D.M., Leonard, C., Piecuch, R., Glidden, D. V, Partridge, J.C., . . . Barkovich, A.J. (2005). Early brain injury in premature newborns detected with magnetic resonance imaging is associated with adverse early neurodevelopmental outcome. The Journal of Pediatrics, 147(5), 609–616. doi:10.1016/j.jpeds.2005.06.033 CrossRef Google Scholar PubMed
- Miller, S.P., Newton, N., Ferriero, D.M., Partridge, J.C., Glidden, D.V., Barnwell, A., . . . Barkovich, A.J. (2002). Predictors of 30-month outcome after perinatal depression: Role of proton MRS and socioeconomic factors. Pediatric Research, 52(1), 71–77. doi:10.1203/00006450-200207000-00014 CrossRef Google Scholar PubMed
- Murias, K., Brooks, B., Kirton, A., & Iaria, G. (2014). A review of cognitive outcomes in children following perinatal stroke. Developmental Neuropsychology, 39(2), 131–157. doi:10.1080/87565641.2013.870178 CrossRef Google Scholar PubMed
- Mussatto, K.A., Hollenbeck-Pringle, D., Trachtenberg, F., Sood, E., Sananes, R., Pike, N.A., . . . Pemberton, V.L. (2017). Utilisation of early intervention services in young children with hypoplastic left heart syndrome. Cardiology in the Young, 28(1), 126–133. doi:10.1017/S104795111700169X CrossRef Google Scholar PubMed
- Narad, M.E., Taylor, G., Yeates, K.O., Stancin, T., Kirkwood, M.W., & Wade, S.L. (2017). Internet-based Interacting Together Everyday, Recovery After Childhood TBI (I-InTERACT): Protocol for a multi-site randomized controlled trial of an internet-based parenting intervention. Digital Health, 3, 1–11. doi:10.1177/2055207617719423 CrossRef Google Scholar PubMed
- Natarajan, G., Pappas, A., & Shankaran, S. (2016). Outcomes in childhood following therapeutic hypothermia for neonatal hypoxic-ischemic encephalopathy (HIE). Seminars in Perinatology, 40(8), 549–555. doi:10.1053/j.semperi.2016.09.007 CrossRef Google Scholar
- Nolan, A., Taket, A., & Stagnitti, K. (2014). Supporting resilience in early years classrooms: The role of the teacher. Teachers and Teaching: Theory and Practice, 20(5), 595–608. doi:10.1080/13540602.2014.937955 CrossRef Google Scholar
- O’Keeffe, F., Liégeois, F., Eve, M., Ganesan, V., King, J., & Murphy, T. (2014). Neuropsychological and neurobehavioral outcome following childhood arterial ischemic stroke: Attention deficits, emotional dysregulation, and executive dysfunction. Child Neuropsychology, 20(5), 557–582. doi:10.1080/09297049.2013.832740 CrossRef Google Scholar PubMed
- Okado, Y., Long, A.M., & Phipps, S. (2014). Association between parent and child distress and the moderating effects of life events in families with and without a history of pediatric cancer. Journal of Pediatric Psychology, 39(9), 1049–1060. doi:10.1093/jpepsy/jsu058 CrossRef Google Scholar PubMed
- Poehlmann, J., Gerstein, E.D., Burnson, C., Weymouth, L., & Bolt, D.M. (2015). Risk and resilience in preterm children at age 6. Development and Psychopathology, 27(3), 843–858. doi:10.1017/S095457941400087X CrossRef Google Scholar
- Racine, E., Bell, E., Farlow, B., Miller, S., Payot, A., Rasmussen, L.A., . . . Wintermark, P. (2016). The “ouR-HOPE” approach for ethics and communication about neonatal neurological injury. Developmental Medicine and Child Neurology, 59(2), 125–135. doi:10.1111/dmcn.13343 CrossRef Google Scholar PubMed
- Roberts, G., Howard, K., Spittle, A.J., Brown, N.C., Anderson, P.J., & Doyle, L.W. (2008). Rates of early intervention services in very preterm children with developmental disabilities at age 2 years. Journal of Paediatrics and Child Health, 44(5), 276–280. doi:10.1111/j.1440-1754.2007.01251.x CrossRef Google Scholar PubMed
- Rodriguez, E.M., Murphy, L., Vannatta, K., Gerhardt, C.A., Young-Saleme, T., Saylor, M., . . . Compas, B.E. (2016). Maternal coping and depressive symptoms as predictors of mother-child communication about a child’s cancer. Journal of Pediatric Psychology, 41(3), 329–339. doi:10.1093/jpepsy/jsv106 CrossRef Google Scholar PubMed
- Rutherford, M., Malamateniou, C., McGuinness, A., Allsop, J., Biarge, M.M., & Counsell, S. (2010). Magnetic resonance imaging in hypoxic-ischaemic encephalopathy. Early Human Development, 86(6), 351–360. doi:10.1016/j.earlhumdev.2010.05.014 CrossRef Google Scholar PubMed
- Rutter, M. (1979). Protective factors in children’s responses to stress and disadvantage. Annals of the Academy of Medicine, 8(3), 324–328. doi:10.1196/annals.1376.002 Google Scholar PubMed
- Rutter, M. (2006). Implications of resilience concepts for scientific understanding. Annals of the New York Academy of Sciences, 1094(1), 1–12. doi:10.1196/annals.1376.002 CrossRef Google Scholar PubMed
- Rutter, M. (2012). Resilience as a dynamic concept. Development and Psychopathology, 24(2), 335–344. doi:10.1017/S0954579412000028 CrossRef Google Scholar PubMed
- Sadler, E., Sarre, S., Tinker, A., Bhalla, A., & McKevitt, C. (2017). Developing a novel peer support intervention to promote resilience after stroke. Health and Social Care in the Community, 25(5), 1590–1600. doi:10.1111/hsc.12336 CrossRef Google Scholar PubMed
- Simon, K., Barakat, L.P., Patterson, C.A., & Dampier, C. (2009). Symptoms of depression and anxiety in adolescents with sickle cell disease: The role of intrapersonal characteristics and stress processing variables. Child Psychiatry and Human Development, 40(2), 317–330. doi:10.1007/s10578-009-0129-x CrossRef Google Scholar PubMed
- Soufi, S., Chabrier, S., Bertoletti, L., Laporte, S., & Darteyre, S. (2017). Lived experience of having a child with stroke: A qualitative study. European Journal of Paediatric Neurology, 21(3), 542–548. doi:10.1016/j.ejpn.2017.01.007 CrossRef Google Scholar PubMed
- Spittle, A., Orton, J., Anderson, P., Boyd, R., & Doyle, L.W. (2012). Early developmental intervention programmes post-hospital discharge to prevent motor and cognitive impairments in preterm infants. Cochrane Database of Systematic Reviews, 11(12), 2–100. doi:10.1002/14651858.CD005495.pub4 Google Scholar
- Thomsen, A.H., Compas, B.E., Colletti, R.B., Stanger, C., Boyer, M.C., & Konik, B.S. (2002). Parent reports of coping and stress responses in children with recurrent abdominal pain. Journal of Pediatric Psychology, 27(3), 215–226. doi:10.1093/jpepsy/27.3.215 CrossRef Google Scholar PubMed
- Treyvaud, K., Doyle, L.W., Lee, K.J., Ure, A., Inder, T.E., Hunt, R.W., & Anderson, P.J. (2016). Parenting behavior at 2 years predicts school-age performance at 7 years in very preterm children. Journal of Child Psychology and Psychiatry, 57(7), 814–821. doi:10.1111/jcpp.12489 CrossRef Google Scholar PubMed
- Treyvaud, K., Ure, A., Doyle, L.W., Lee, K.J., Rogers, C.E., Kidokoro, H., . . . Anderson, P.J. (2013). Psychiatric outcomes at age seven for very preterm children: Rates and predictors. Journal of Child Psychology and Psychiatry and Allied Disciplines, 54(7), 772–779. doi:10.1111/jcpp.12040 CrossRef Google Scholar PubMed
- Ungar, M. (2015). Practitioner review: Diagnosing childhood resilience - A systemic approach to the diagnosis of adaptation in adverse social and physical ecologies. Journal of Child Psychology and Psychiatry and Allied Disciplines, 56(1), 4–17. doi:10.1111/jcpp.12306 CrossRef Google Scholar
- Wade, S.L., Cassedy, A., Walz, N.C., Taylor, H.G., Stancin, T., & Yeates, K.O. (2011). The relationship of parental warm responsiveness and negativity to emerging behavior problems following traumatic brain injury in young children. Developmental Psychology, 47(1), 119–133. doi:10.1037/a0021028 CrossRef Google Scholar PubMed
- Wade, S.L., Zhang, N., Yeates, K.O., Stancin, T., & Taylor, H.G. (2016). Social environmental moderators of long-term functional outcomes of early childhood brain injury. JAMA Pediatrics, 170(4), 343–349. doi:10.1001/jamapediatrics.2015.4485 CrossRef Google Scholar PubMed
- Westmacott, R., Askalan, R., Macgregor, D., Anderson, P., & Deveber, G. (2010). Cognitive outcome following unilateral arterial ischaemic stroke in childhood: Effects of age at stroke and lesion location. Developmental Medicine and Child Neurology, 52(4), 386–393. doi:10.1111/j.1469-8749.2009.03403.x CrossRef Google Scholar PubMed
- Westmacott, R., Macgregor, D., Askalan, R., & Deveber, G. (2009). Late emergence of cognitive deficits after unilateral neonatal stroke. Stroke, 40(6), 2012–2019. doi:10.1161/STROKEAHA.108.533976 CrossRef Google Scholar PubMed
- Westreich, D. (2012). Berkson’s bias, selection bias, and missing data. Epidemiology, 23(1), 159–164. doi:10.1097/EDE.0b013e31823b6296 CrossRef Google Scholar PubMed
- Williams, T.S., McDonald, K.P., Roberts, S.D., Dlamini, N., deVeber, G., & Westmacott, R. (2017). Prevalence and predictors of learning and psychological diagnoses following pediatric arterial ischemic stroke. Developmental Neuropsychology, 42(5), 309–322. doi:10.1080/87565641.2017.1353093 CrossRef Google Scholar PubMed
- Williams, T.S., McDonald, K.P., Roberts, S.D., Westmacott, R., Ahola Kohut, S., Dlamini, N., & Miller, S.P. (2018). In their own words: Developing the Parent Experiences Questionnaire following neontatal brain injury usuing participatory design. Brain Injury, 32, 1386–1396. doi:10.1080/02699052.2018.1495844 CrossRef Google Scholar
- Yeates, K.O., Bigler, E.D., Dennis, M., Gerhardt, C.A., Rubin, K.H., Stancin, T., . . . Vannatta, K. (2007). Social outcomes in childhood brain disorder: A heuristic integration of social neuroscience and developmental psychology. Psychological Bulletin, 133(3), 535–556. doi:10.1037/0033-2909.133.3.535 CrossRef Google Scholar PubMed
Examine the mediating effects of anxiety and depressive symptoms on the relationship between psychological resilience and post-concussive symptoms (PCS) in children with poor recovery following concussion.
Adolescents (N=93), ages 13 to 18 years, were assessed at a neuropsychology screening clinic at a children’s hospital. They sustained concussions more than 1 month before the clinic visit (median time since injury=5.1 months; range=42–473 days) and were seen on the basis of poor recovery (i.e., presence of persistent PCS and complaints of cognitive problems). Self-reported psychological resilience was measured using the 10-item version of the Connor-Davidson Resilience Scale; self- and parent-reported anxiety and depressive symptoms were measured using the Behaviour Assessment System for Children – Second Edition; and self- and parent-reported PCS were measured using the Post-Concussion Symptom Inventory. All variables were measured concurrently. Regression-based mediation analyses were conducted to examine anxiety and depressive symptoms as mediators of the relationship between psychological resilience and PCS.
Psychological resilience significantly predicted self-reported PCS. Self-reported anxiety and depressive symptoms significantly mediated the relationship between resilience and self-reported PCS, and parent-reported child depressive symptoms significantly mediated the relationship between resilience and self- and parent-reported PCS.
Psychological resilience plays an important role in recovery from concussion, and this relationship may be mediated by anxiety and depressive symptoms. These results help shed light on the mechanisms of the role of psychological resilience in predicting PCS in children with prolonged symptom recovery. (JINS, 2019, 25, 346–354)
- Babcock, L., Byczkowski, T., Wade, S.L., Ho, M., Mookerjee, S., & Bazarian, J.J. (2013). Predicting postconcussion syndrome after mild traumatic brain injury in children and adolescents who present to the emergency department. Journal of the American Medical Association Pediatrics, 167(2), 156–161. Google Scholar PubMed
- Barlow, K.M., Crawford, S., Stevenson, A., Sandhu, S.S., Belanger, F., & Dewey, D. (2010). Epidemiology of postconcussion syndrome in pediatric mild traumatic brain injury. Pediatrics, 126(2), e374–e381. CrossRef Google Scholar PubMed
- Bazarian, J.J., Mcclung, J., Shah, M.N., Cheng, Y.T., Flesher, W., & Kraus, J. (2005). Mild traumatic brain injury in the United States, 1998-2000. Brain Injury, 19(2), 85–91. CrossRef Google Scholar PubMed
- Brooks, B.L., McKay, C.D., Mrazik, M., Barlow, K.M., Meeuwisse, W.H., & Emery, C.A. (2013). Subjective, but not objective, lingering effects of multiple past concussions in adolescents. Journal of Neurotrauma, 30, 1469–1475. CrossRef Google Scholar
- Campbell-Sills, L., Cohan, S.L., & Stein, M.B. (2006). Relationship of resilience to personality, coping and psychiatric symptoms in young adults. Behaviour Research & Therapy, 44, 585–599. CrossRef Google Scholar PubMed
- Campbell-Sills, L., & Stein, M.B. (2007). Psychometric analysis and refinement of the Connor-Davidson Resilience Scale (CD-RISC): Validation of a 10-item measure of resilience. Journal of Traumatic Stress, 20(6), 1019–1028. CrossRef Google Scholar PubMed
- Carroll, L.J., Cassidy, J.D., Holm, L., Kraus, J., & Coronado, V.G. (2004). Methodological issues and research recommendations for mild traumatic brain injury: The WHO Collaborating Center Task Force on Mild Traumatic Brain Injury. Journal of Rehabilitation Medicine, 43, 113–125. doi:10.1080/16501960410023877 CrossRef Google Scholar
- Connor, K.M., & Davidson, J.R. (2003). Development of a new resilience scale: The Connor-Davidson Resilience Scale (CD-RISC). Depression and Anxiety, 18, 76–82. CrossRef Google Scholar
- de Koning, M.E., Gareb, B., El Moumni, M., Scheenen, M.E., van der Horn, H.J., Timmerman, M.E., . . . van der Naalt, J. (2016). Subacute posttraumatic complaints and psychological distress in trauma patients with or without mild traumatic brain injury. Injury, 47, 2041–2047. CrossRef Google Scholar PubMed
- Duncan, B.L., Miller, S.D., Wampold, B.E., & Hubble, M.A. (2010). The heart and soul of change: Delivering what works in therapy, Second Edition. Washington, DC: American Psychological Association. CrossRef Google Scholar
- Fineblit, S., Selci, E., Loewen, H., Ellis, M., & Russell, K. (2016). Health-related quality of life after pediatric mild traumatic brain injury/concussion. A systematic review. Journal of Neurotrauma, 33(17), 1561–1568. CrossRef Google Scholar PubMed
- Gioia, G.A., Janusz, J., Isquith, P., & Vincent, D. (2008). Psychometric properties of the parent and teacher Post-Concussion Symptom inventory (PCSI) for children and adolescents. Journal of the International Neuropsychological Society, 14(Suppl. 1), 204. Google Scholar
- Gioia, G.A., Schneider, J.C., Vaughan, C.G., & Isquith, P.K. (2009). Which symptom assessments and approaches are uniquely appropriate for paediatric concussion? British Journal of Sports Medicine, 43(Suppl. 1), i13–i22. CrossRef Google Scholar PubMed
- Grool, A.M., Aglipay, M., Momoli, F., Meehan, W.P., Freedman, S.B., Yeates, K.O., . . . Pediatric Emergency Research Canada (PERC) Concussion Team. (2016). Association between early participation in physical activity following acute concussion and persistent postconcussive symptoms in children and adolescents. Journal of the American Medical Association, 316(23), 2504–2514. CrossRef Google Scholar PubMed
- Graves, J.M., Rivara, F.P., & Vavilala, M.S. (2015). Health care costs 1 year after pediatric traumatic brain injury. American Journal of Public Health, 105(10), e35–e41. CrossRef Google Scholar PubMed
- Grubenhoff, J.A. Currie, D., Comstock, R.D., Juarez-Colnga, E., Bajaj, L., & Kirkwood, M.W. (2016). Psychological factors associated with delayed symptom resolution in children with concussion. Journal of Pediatrics, 174, 27–32. CrossRef Google Scholar PubMed
- Hawley, C.A., Ward, A.B., Magnay, A.R., & Long, J. (2004). Outcomes following childhood head injury: A population study. Journal of Neurology, Neurosurgery, and Psychiatry, 75(5), 737–742. CrossRef Google Scholar PubMed
- Hayes, A.F. (2013). Methodology in the social sciences. Introduction to mediation, moderation, and conditional process analysis: A regression-based approach. New York: Guilford Press. Google Scholar
- Herrmann, N., Rapoport, M.J., Rajaram, R.D., Chan, F., Kiss, A., Ma, A.K., . . . Lanctot, K.L. (2009). Factor analysis of the Rivermead Post-Concussion Symptoms Questionnaire in mild-to-moderate traumatic brain injury patients. Journal of Neuropsychiatry and Clinical Neurosciences, 21(2), 181–188. CrossRef Google Scholar PubMed
- Horris, H.B., Elmer, C., & Valovich McLeod, T.C. (2017). Premorbid diagnosis of attention deficit disorder and the association of concussion risk and prolonged recovery: An evidence-based report. Athletic Training and Sports Health Care, 9(1), 39–44. CrossRef Google Scholar
- IBM Corp. (2016). IBM SPSS Statistics for Windows, Version 24.0. Armonk, NY: IBM Corp. Google Scholar
- Iverson, G.L., Gardner, A.J., Terry, D.P., Ponsford, J.L., Sills, A.K., Broshek, D.K., & Solomon, G.S. (2017). Predictors of clinical recovery from concussion: A systematic review. British Journal of Sports Medicine, 51, 941–948. CrossRef Google Scholar PubMed
- Johnston, M.C., Porteous, T., Crilly, M.A., Burton, C.D., Elliot, A., Iversen, L., . . . Black, C. (2015). Physical disease and resilient outcomes: A systematic review of resilience definitions and study methods. Psychosomatics, 56, 168–180. CrossRef Google Scholar PubMed
- Laliberté Durish, C., Persevereff, R.S., & Yeates, K.O. (2018). Depression and depressive symptoms in pediatric traumatic brain injury: A scoping review. Journal of Head Trauma Rehabilitation, 33(3), E18–E30. CrossRef Google Scholar PubMed
- Laliberté Durish, C., Yeates, K.O., & Brooks, B.L. (2017). Convergent and divergent validity for a measure of psychological resilience in children with mild traumatic brain injury [abstract]. In: Final Program Forty Fifth Annual Meeting International Neuropsychological Society. Journal of the International Neuropsychological Society, 23(S1), 294. Google Scholar
- Laliberté Durish, C., Yeates, K.O., & Brooks, B.L. (2018). Psychological resilience as a predictor of persistent post-concussive symptoms in children with single and multiple concussion. Journal of the International Neuropsychological Society, 24, 759–768. CrossRef Google Scholar PubMed
- Losoi, H., Silverberg, N.D., Waljas, M., Turunen, S., Rosti-Otajarvi, E., Helminen, M., . . . Iverson, G.L. (2015). Reslience is associated with outcome from mild traumatic brain injury. Journal of Neurotrauma. 32, 942–949. doi:10.1089/neu.2014.43799 CrossRef Google Scholar
- Luis, C.A., & Mittenberg, W. (2002). Mood and anxiety disorders following pediatric traumatic brain injury: A prospective study. Journal of Clinical and Experimental Neuropsychology, 24(3), 270–279. CrossRef Google Scholar PubMed
- McCauley, S.R., Wilde, E.A., Miller, E.R., Frisby, M.L., Garaza, H.M., Varghese, R., . . . McCarthy, J.J. (2013). Preinjury resilience and mood as predictors of early outcome following mild traumatic brain injury. Journal of Neurotrauma, 30, 642–652. CrossRef Google Scholar PubMed
- McNally, K.A., Bangert, B., Dietrich, A., Nuss, K., Rusin, J., Wright, M., . . . Yeates, K.O. (2013). Injury versus non-injury factors as predictors of post-concussive symptoms following mild traumatic brain injury in children. Neuropsychology, 27(1), 1–12. CrossRef Google Scholar
- Merritt, V.C., Lange, R.T., & French, L.M. (2015). Resilience and symptom reporting following mild traumatic brain injury in military service members. Brain Injury, 29(11), 1325–1336. CrossRef Google Scholar PubMed
- Olsson, K.A., Lloyd, O.T., Lebrocque, R.M., McKinlay, L., Anderson, V.A., & Kenardy, J.A. (2013). Predictors of child post-concussion symptoms at 6 and 18 months following mild traumatic brain injury. Brain Injury, 27, 145–157. CrossRef Google Scholar PubMed
- Pietrzak, R.J., Johnson, D.C., Goldstein, M.B., Malley, J.C., & Southwick, S.M. (2009). Psychological resilience and postdeployment social support protect against traumatic stress and depressive symptoms in soldiers returning from Operations Enduring Freedom and Iraqi Freedom. Depression and Anxiety, 26, 745–751. CrossRef Google Scholar PubMed
- Ponsford, J., Willmont, C., Rothwell, A., Cameron, P., Ayton, G., Nelms, R., . . . Ng, K.T. (1999). Cognitive and behavioral outcome following mild traumatic head injury in children. Journal of Head Trauma and Rehabilitation, 14, 360–372. CrossRef Google Scholar PubMed
- Poole, J.C., Dobson, K.S., & Pusch, D. (2017). Anxiety among adults with a history of childhood adversity: Psychological resilience moderates the indirect effect of emotion dysregulation. Journal of Affective Disorders, 217, 144–152. CrossRef Google Scholar PubMed
- Preacher, K.J., & Kelley, K. (2011). Effect size measures for mediation models: Quantitative strategies for communicating indirect effects. Psychological Methods, 16(2), 93–115. CrossRef Google Scholar PubMed
- Rainey, E.E., Petrey, L.B., Reynolds, M., Agtarap, S., & Warren, A.M. (2014). Psychological factors predicting outcome after traumatic injury: The role of resilience. The American Journal of Surgery, 208, 517–523. CrossRef Google Scholar PubMed
- Reynolds, C.R., & Kamphaus, R.W. (2004). BASC-2: Behavior assessment system for children, second edition manual. Circle Pines, MN: American Guidance Service. Google Scholar
- Rieger, B.P., Lewandowski, L.J., Callahan, J.M., Spenceley, L., Truckenmiller, A., Gathke, R., & Miller, L.A. (2013). A prospective study of symptoms and neurocognitive outcomes in youth with concussion vs orthopaedic injuries. Brain Injury, 27(2), 169–178. CrossRef Google Scholar PubMed
- Sady, M.D., Vaughan, C.G., & Gioia, G.A. (2014). Psychometric characteristics of the postconcussion symptom inventory in children and adolescents. Archives of Clinical Neuropsychology, 29, 348–363. CrossRef Google Scholar PubMed
- Schulz, A., Becker, M., Van der Auwera, S., Barnow, S., Appel, K., Mahler, J., . . . Grabe, H.J. (2014). The impact of childhood trauma on depression: Does resilience matter? Population-based results from the Study of Health in Pomerania. Journal of Psychosomatic Research, 77(2), 97–103. CrossRef Google Scholar PubMed
- Stazyk, K., DeMatteo, C., Moll, S., & Missiuna, C. (2017). Depression in youth recovering from concussion: Correlates and predictors. Brain Injury, 31(5), 631–638. CrossRef Google Scholar PubMed
- Stein, E., Howard, W., Rowhani-Rahbar, A., Rivara, F.P., Zatzick, D., & McCarty, C.A. (2017). Longitudinal trajectories of post-concussive and depressive symptoms in adolescents with prolonged recovery from concussion. Brain Injury, 31(13-14), 1736–1744. CrossRef Google Scholar PubMed
- Steinhardt, M.A., & Dolbier, C. (2008). Evaluation of a resilience intervention to enhance coping strategies and protective factors and decrease symptomatology. Journal of American College Health, 56, 445–453. CrossRef Google Scholar PubMed
- Sullivan, K.A., Edmed, S.L., Allan, A.C., Smith, S.S., & Karlsson, L. J. E. (2015). The role of psychological resilience and mTBI as predictors of postconcussional syndrome symptomatology. Rehabilitation Psychology, 60(2), 147–154. CrossRef Google Scholar PubMed
- Taylor, H.G., Dietrich, A., Nuss, K., Wright, M., Rusin, J., Bangert, B., . . . Yeates, K.O. (2010). Post-concussive symptoms in children with mild traumatic brain injury. Neuropsychology, 24, 148–159. CrossRef Google Scholar PubMed
- Wood, R.L., O’Hagan, C., Williams, C., McCabe, M., & Chadwick, N. (2014). Anxiety sensitivity and alexithymia as mediators of postconcussion syndrome following mild traumatic brain injury. Journal of Head Trauma Rehabilitation, 29(1), E9–E17. CrossRef Google Scholar PubMed
- Woodrome, S.E., Yeates, K.O., Taylor, H.G., Rusin, J., Bangert, B., Dietrich, A., . . . Wright, M. (2011). Coping strategies as a predictor of post-concussive symptoms in children with mild traumatic brain injury versus mild orthopedic injury. Journal of the International Neuropsychological Society, 17(2), 317–326. CrossRef Google Scholar PubMed
- World Health Organization. (1992). The ICD-10 classification of mental and behavioural disorders: Clinical descriptions and diagnostic guidelines. Geneva: World Health Organization. Google Scholar
- Yeates, K.O., Kaizar, E., Rusin, J., Bangert, B., Dietrich, A., Nuss, K., . . . Taylor, H.G. (2012). Reliable change in post-concussive symptoms and its functional consequences among children with mild traumatic brain injury. Archives of Pediatrics & Adolescent Medicine, 166(7), 615–622. CrossRef Google Scholar
- Zemek, R., Barrowman, N., Freedman, S.B., Gravel, J., Gagnon, I., McGahern, , . . . Pediatric Emergency Research Canada (PERC) Concussion Team. (2016). Clinical risk score for persistent postconcussion symptoms among children with acute concussion in the ED. Journal of the American Medical Association, 315(10), 1014–1025. CrossRef Google Scholar PubMed
Concussion in children and adolescents is a prevalent problem with implications for subsequent physical, cognitive, behavioral, and psychological functioning, as well as quality of life. While these consequences warrant attention, most concussed children recover well. This study aimed to determine what pre-injury, demographic, and injury-related factors are associated with optimal outcome (“wellness”) after pediatric concussion.
A total of 311 children 6–18 years of age with concussion participated in a longitudinal, prospective cohort study. Pre-morbid conditions and acute injury variables, including post-concussive symptoms (PCS) and cognitive screening (Standardized Assessment of Concussion, SAC), were collected in the emergency department, and a neuropsychological assessment was performed at 4 and 12 weeks post-injury. Wellness, defined by the absence of PCS and cognitive inefficiency and the presence of good quality of life, was the main outcome. Stepwise logistic regression was performed using 19 predictor variables.
41.5% and 52.2% of participants were classified as being well at 4 and 12 weeks post-injury, respectively. The final model indicated that children who were younger, who sustained sports/recreational injuries (vs. other types), who did not have a history of developmental problems, and who had better acute working memory (SAC concentration score) were significantly more likely to be well.
Determining the variables associated with wellness after pediatric concussion has the potential to clarify which children are likely to show optimal recovery. Future work focusing on wellness and concussion should include appropriate control groups and document more extensively pre-injury and injury-related factors that could additionally contribute to wellness. (JINS, 2019, 25, 375–389)
- Anderson, V., Catroppa, C., Morse, S., Haritou, F., & Rosenfeld, J. (2005). Attentional and processing skills following traumatic brain injury in early childhood. Brain Injury, 19(9), 699–710. doi: 10.1080/02699050400025281 CrossRef Google Scholar PubMed
- Asarnow, R.F., Satz, P., Light, R., Zaucha, K., Lewis, R., & McCleary, C. (1995). The UCLA study of mild closed head injury in children and adolescents, In Broman, S.H., and Michel, M.E. (Eds.), Traumatic head injury in children (pp. 117–146). New York: Oxford University Press. Google Scholar
- Babcock, L., Byczkowski, T., Wade, S.L., Ho, M., Mookerjee, S., & Bazarian, J.J. (2013). Predicting postconcussion syndrome after mild traumatic brain injury in children and adolescents who present to the emergency department. JAMA Pediatrics, 167(2), 156–161. doi: 10.1001/jamapediatrics.2013.434 CrossRef Google Scholar PubMed
- Babikian, T., McArthur, D., & Asarnow, R.F. (2013). Predictors of 1-month and 1-year neurocognitive functioning from the UCLA longitudinal mild, uncomplicated, pediatric traumatic brain injury study. Journal of the International Neuropsychological Society, 19(2), 145–154. doi: 10.1017/s135561771200104x CrossRef Google Scholar PubMed
- Babikian, T., Satz, P., Zaucha, K., Light, R., Lewis, R.S., & Asarnow, R.F. (2011). The UCLA longitudinal study of neurocognitive outcomes following mild pediatric traumatic brain injury. Journal of the International Neuropsychological Society, 17(5), 886–895. doi: 10.1017/s1355617711000907 CrossRef Google Scholar PubMed
- Balazs, J., Miklosi, M., Toro, K.T., & Nagy-Varga, D. (2016). Reading disability and quality of life based on both self- and parent-reports: Importance of gender differences. Frontiers in Psychology, 7, 1942. doi: 10.3389/fpsyg.2016.01942 CrossRef Google Scholar PubMed
- Barlow, K.M. (2016). Postconcussion syndrome: A review. Journal of Child Neurology, 31(1), 57–67. doi: 10.1177/0883073814543305 CrossRef Google Scholar PubMed
- Beauchamp, M.H., Aglipay, M., Yeates, K.O., Desire, N., Keightley, M., Anderson, P., … Zemek, R. (2018). Predictors of neuropsychological outcome after pediatric concussion. Neuropsychology, 32(4), 495–508. doi: 10.1037/neu0000419 CrossRef Google Scholar PubMed
- Beauchamp, M.H., Brooks, B.L., Barrowman, N., Aglipay, M., Keightley, M., Anderson, P., Yeates, K.O., Osmond, M.H., Zemek, R. (2015). Empirical derivation and validation of a clinical case definition for neuropsychological impairment in children and adolescents. Journal of International Neuropsychological Society, 21(8), 596–609. doi: 10.1017/s1355617715000636 CrossRef Google Scholar PubMed
- Belanger, H.G., Barwick, F.H., Kip, K.E., Kretzmer, T., & Vanderploeg, R.D. (2013). Postconcussive symptom complaints and potentially malleable positive predictors. Clinical Neuropsychologist, 27(3), 343–355. doi: 10.1080/13854046.2013.774438 CrossRef Google Scholar PubMed
- Bezner, J.R. & Hunter, D.L. (2001). Wellness perception in persons with traumatic brain injury and its relation to functional independence. Archives of Physical Medicine and Rehabilitation, 82(6), 787–792. doi: 10.1053/apmr.2001.23269 CrossRef Google Scholar PubMed
- Bijur, P.E. & Haslum, M. (1995). Cognitive, behavioral, and motoric sequelae of mild head injury in a national birth cohort, In Broman, S.H. and Michel, M.E. (Eds.), Traumatic head injury in children (pp. 147–164). New York: Oxford University Press. Google Scholar
- Braden, C.A., Cuthbert, J.P., Brenner, L., Hawley, L., Morey, C., Newman, J., … Harrison-Felix, C. (2012). Health and wellness characteristics of persons with traumatic brain injury. Brain Injury, 26(11), 1315–1327. doi: 10.3109/02699052.2012.706351 CrossRef Google Scholar PubMed
- Brooks, B.L., McKay, C.D., Mrazik, M., Barlow, K.M., Meeuwisse, W.H., & Emery, C.A. (2013). Subjective, but not objective, lingering effects of multiple past concussions in adolescents. Journal of Neurotrauma, 30(17), 1469–1475. doi: 10.1089/neu.2012.2720 CrossRef Google Scholar
- Brown, E.A., Kenardy, J., Chandler, B., Anderson, V., McKinlay, L., & Le Brocque, R. (2016). Parent-reported health-related quality of life in children with traumatic brain injury: A prospective study. Journal of Pediatric Psychology, 41(2), 244–255. doi: 10.1093/jpepsy/jsv090 CrossRef Google Scholar PubMed
- Carroll, L.J., Cassidy, J.D., Peloso, P.M., Borg, J., von Holst, H., Holm, L., … Pepin, M. (2004). Prognosis for mild traumatic brain injury: Results of the who collaborating centre task force on mild traumatic brain injury. Journal of Rehabilitation Medicine, 43(Suppl), 84–105. CrossRef Google Scholar
- Catroppa, C., Hearps, S., Crossley, L., Yeates, K., Beauchamp, M., Fusella, J., & Anderson, V. (2017). Social and behavioral outcomes following childhood traumatic brain injury: What predicts outcome at 12 months post-insult? Journal of Neurotrauma, 34(7), 1439–1447. doi: 10.1089/neu.2016.4594 CrossRef Google Scholar PubMed
- Davis, G.A., Purcell, L., Schneider, K.J., Yeates, K.O., Gioia, G.A., Anderson, V., … Kutcher, J.S. (2017). The child sport concussion assessment tool 5th edition (child scat5): Background and rationale. British Journal of Sports Medicine, 51(11), 859–861. doi: 10.1136/bjsports-2017-097492 Google Scholar
- DeMatteo, C.A., Hanna, S.E., Yousefi-Nooraie, R., Lin, C.Y., Mahoney, W.J., Law, M.C., & McCauley, D. (2014). Quality-of-life after brain injury in childhood: Time, not severity, is the significant factor. Brain Injury, 28(1), 114–121. doi: 10.3109/02699052.2013.848380 CrossRef Google Scholar
- Desai, A.D., Zhou, C., Stanford, S., Haaland, W., Varni, J.W., & Mangione-Smith, R.M. (2014). Validity and responsiveness of the pediatric quality of life inventory (pedsql) 4.0 generic core scales in the pediatric inpatient setting. Journal of the American Medical Association Pediatrics, 168(12), 1114–1121. doi: 10.1001/jamapediatrics.2014.1600 Google Scholar PubMed
- Dewan, M.C., Mummareddy, N., Wellons, J.C. 3rd, & Bonfield, C.M. (2016). Epidemiology of global pediatric traumatic brain injury: Qualitative review. World Neurosurgery, 91, 497–509 e491. doi: 10.1016/j.wneu.2016.03.045 CrossRef Google Scholar PubMed
- Diener, E. (1984). Subjective well-being. Psychological Bulletin, 95(3), 542–575. CrossRef Google Scholar PubMed
- Di Battista, A., Soo, C., Catroppa, C., Anderson, V. (2012). Quality of life in children and adolescents post-tbi: A systematic review and meta-analysis. Journal of Neurotrauma, 29 (9), 1717–1727. doi: 10.1089/neu.2011.2157 CrossRef Google Scholar PubMed
- Durish, C.L., Yeates, K.O., & Brooks, B.L. (2018). Psychological resilience as a predictor of persistent post-concussive symptoms in children with single and multiple concussion. Journal of the International Neuropsychological Society, in press. Google Scholar
- Emery, C.A., Barlow, K.M., Brooks, B.L., Max, J.E., Villavicencio-Requis, A., Gnanakumar, V., Robertson, H. L., Schneider, K., Yeates, K.O. (2016). A systematic review of psychiatric, psychological, and behavioural outcomes following mild traumatic brain injury in children and adolescents. Canadian Journal of Psychiatry. Revue Canadienne de Psychiatrie, 61(5), 259–269. doi: 10.1177/0706743716643741 CrossRef Google Scholar PubMed
- Fay, G.C., Jaffe, K.M., Polissar, N.L., Liao, S., Martin, K.M., Shurtleff, H.A., … Winn, H.R. (1993). Mild pediatric traumatic brain injury: A cohort study. Archives of Physical Medicine and Rehabilitation, 74(9), 895–901. Google Scholar PubMed
- Field, M., Collins, M.W., Lovell, M.R., & Maroon, J. (2003). Does age play a role in recovery from sports-related concussion? A comparison of high school and collegiate athletes. Journal of Pediatrics, 142(5), 546–553. doi: 10.1067/mpd.2003.190 CrossRef Google Scholar PubMed
- Fineblit, S., Selci, E., Loewen, H., Ellis, M., & Russell, K. (2016). Health-related quality of life after pediatric mild traumatic brain injury/concussion: A systematic review. Journal of Neurotrauma, 33(17), 1561–1568. doi: 10.1089/neu.2015.4292 CrossRef Google Scholar PubMed
- Gioia, G.A., Collins, M., & Isquith, P.K. (2008). Improving identification and diagnosis of mild traumatic brain injury with evidence: Psychometric support for the acute concussion evaluation. Journal of Head Trauma Rehabilitation, 23(4), 230–242. doi: 10.1097/01.HTR.0000327255.38881.ca CrossRef Google Scholar PubMed
- Gioia, G.A., Schneider, J.C., Vaughan, C.G., & Isquith, P.K. (2009). Which symptom assessments and approaches are uniquely appropriate for paediatric concussion? British Journal of Sports Medicine, 43(Suppl 1), i13–i22. doi: 10.1136/bjsm.2009.058255 CrossRef Google Scholar PubMed
- Goreth, M.B. & Palokas, M. (2018). The association of premorbid neuropsychological conditions with pediatric mild traumatic brain injury/concussion recovery time and symptom severity: A systematic review protocol. Joanna Briggs Institute database of systematic reviews and implementation reports, 16(3), 603–608. doi: 10.11124/jbisrir-2017-003447 CrossRef Google Scholar PubMed
- Hanks, R.A., Rapport, L.J., Waldron-Perrine, B., & Millis, S.R. (2014). Role of character strengths in outcome after mild complicated to severe traumatic brain injury: A positive psychology study. Archives of Physical Medicine and Rehabilitation, 95(11), 2096–2102. doi: 10.1016/j.apmr.2014.06.017 CrossRef Google Scholar PubMed
- Hanlon, R.E., Demery, J.A., Martinovich, Z., & Kelly, J.P. (1999). Effects of acute injury characteristics on neuropsychological status and vocational outcome following mild traumatic brain injury. Brain Injury, 13(11), 873–887. Google Scholar PubMed
- Harrell, F.E. (2015). Regression modeling strategies with applications to linear models, logistic and ordinal regression, and survival analysis (2nd ed.). New York: Springer. Google Scholar
- Harris, P.A., Taylor, R., Thielke, R., Payne, J., Gonzalez, N., & Conde, J.G. (2009). Research electronic data capture (redcap)—A metadata-driven methodology and workflow process for providing translational research informatics support. Journal of Biomedical Informatics, 42(2), 377–381. doi: 10.1016/j.jbi.2008.08.010 CrossRef Google Scholar PubMed
- Hawley, C.A. & Joseph, S. (2008). Predictors of positive growth after traumatic brain injury: A longitudinal study. Brain Injury, 22(5), 427–435. doi: 10.1080/02699050802064607 CrossRef Google Scholar PubMed
- Hettler, B. (1976). The six dimensions of wellness. From www.nationalwellness.org Google Scholar
- Huber, P.J. (1967). The behavior of maximum likelihood estimates under nonstandard conditions (Vol. 1). Berkeley, CA: University of Califormia Press. Google Scholar
- Hung, R., Carroll, L.J., Cancelliere, C., Cote, P., Rumney, P., Keightley, M., … Cassidy, J.D. (2014). 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. Archives of Physical Medicine and Rehabilitation, 95(3 Suppl 2), S174–S191. doi: 10.1016/j.apmr.2013.08.301 CrossRef Google Scholar PubMed
- Iverson, G.L., Gardner, A.J., Terry, D.P., Ponsford, J.L., Sills, A.K., Broshek, D.K., & Solomon, G.S. (2017). Predictors of clinical recovery from concussion: A systematic review. British Journal of Sports Medicine, 51(12), 941–948. doi: 10.1136/bjsports-2017-097729 CrossRef Google Scholar PubMed
- Keightley, M.L., Cote, P., Rumney, P., Hung, R., Carroll, L.J., Cancelliere, C., & Cassidy, J.D. (2014). Psychosocial consequences of mild traumatic brain injury in children: Results of a systematic review by the international collaboration on mild traumatic brain injury prognosis. Archives of Physical Medicine and Rehabilitation, 95(3 Suppl), S192–200. doi: 10.1016/j.apmr.2013.12.018 CrossRef Google Scholar PubMed
- Klassen, A.F., Miller, A., & Fine, S. (2004). Health-related quality of life in children and adolescents who have a diagnosis of attention-deficit/hyperactivity disorder. Pediatrics, 114(5), e541–e547. doi: 10.1542/peds.2004-0844 CrossRef Google Scholar PubMed
- Lee, Y.C., Yang, H.J., Lee, W.T., & Teng, M.J. (2019). Do parents and children agree on rating a child’s hrqol? A systematic review and meta-analysis of comparisons between children with attention deficit hyperactivity disorder and children with typical development using the pedsql. Disability and Rehabilitation, 41 (3), 265–275. doi: 10.1080/09638288.2017.1391338 CrossRef Google Scholar
- Little, R.J.A. & Rubin, D.B. (2002). Statistical analysis with missing data (2nd ed.). New York: Wiley. CrossRef Google Scholar
- Losoi, H., Silverberg, N.D., Waljas, M., Turunen, S., Rosti-Otajarvi, E., Helminen, M., … Iverson, G.L. (2015). Resilience is associated with outcome from mild traumatic brain injury. Journal of Neurotrauma, 32(13), 942–949. doi: 10.1089/neu.2014.3799 CrossRef Google Scholar PubMed
- Lovell, M.R., Collins, M.W., Podell, K., Powell, J., & Maroon, J. (2005). Impact: Immediate post-concussion assessment and cognitive testing. Pittsburgh, PA: NeuroHealth Systems, LLC. Google Scholar
- Luthar, S.S., Cicchetti, D., & Becker, B. (2000). The construct of resilience: A critical evaluation and guidelines for future work. Child Development, 71(3), 543–562. CrossRef Google Scholar PubMed
- McCauley, S.R., Wilde, E.A., Anderson, V.A., Bedell, G., Beers, S.R., Campbell, T.F., … Yeates, K.O. (2012). Recommendations for the use of common outcome measures in pediatric traumatic brain injury research. Journal of Neurotrauma, 29(4), 678–705. doi: 10.1089/neu.2011.1838 CrossRef Google Scholar PubMed
- McCauley, S.R., Wilde, E.A., Miller, E.R., Frisby, M.L., Garza, H.M., Varghese, R., … McCarthy, J. J. (2013). Preinjury resilience and mood as predictors of early outcome following mild traumatic brain injury. Journal of Neurotrauma, 30(8), 642–652. doi: 10.1089/neu.2012.2393 CrossRef Google Scholar PubMed
- McCrory, P., Meeuwisse, W., Johnston, K., Dvorak, J., Aubry, M., Molloy, M., & Cantu, R. (2009). Consensus statement on concussion in sport: The 3rd international conference on concussion in sport held in Zurich, November 2008. British Journal of Sports Medicine, 43(Suppl 1), i76–i84. doi: 10.1136/bjsm.2009.058248 CrossRef Google Scholar
- McCrory, P., Meeuwisse, W.H., Aubry, M., Cantu, B., Dvoøák, J., Echemendia, R.J., … Turner, M. (2013). Child scat3. British Journal of Sports Medicine, 47(5), 263–266. Google Scholar
- McNally, K.A., Bangert, B., Dietrich, A., Nuss, K., Rusin, J., Wright, M., … Yeates, K.O. (2013). Injury versus noninjury factors as predictors of postconcussive symptoms following mild traumatic brain injury in children. Neuropsychology, 27(1), 1–12. doi: 10.1037/a0031370 CrossRef Google Scholar PubMed
- Merritt, V.C., Lange, R.T., & French, L.M. (2015). Resilience and symptom reporting following mild traumatic brain injury in military service members. Brain Injury, 29(11), 1325–1336. doi: 10.3109/02699052.2015.1043948 CrossRef Google Scholar PubMed
- Moons, K.G., Donders, R.A., Stijnen, T., & Harrell, F.E. Jr. (2006). Using the outcome for imputation of missing predictor values was preferred. Journal of Clinical Epidemiology, 59(10), 1092–1101. doi: 10.1016/j.jclinepi.2006.01.009 CrossRef Google Scholar PubMed
- Moran, L.M., Taylor, H.G., Rusin, J., Bangert, B., Dietrich, A., Nuss, K.E., … Yeates, K.O. (2012). Quality of life in pediatric mild traumatic brain injury and its relationship to postconcussive symptoms. Journal of Pediatric Psychology, 37(7), 736–744. doi: 10.1093/jpepsy/jsr087 CrossRef Google Scholar PubMed
- Nalder, E., Hartman, L., Hunt, A., & King, G. (2018). Traumatic brain injury resiliency model: A conceptual model to guide rehabilitation research and practice. Disability and Rehabilitation, 1–10. doi: 10.1080/09638288.2018.1474495 CrossRef Google Scholar PubMed
- Novak, Z., Aglipay, M., Barrowman, N., Yeates, K.O., Beauchamp, M.H., Gravel, J., … Zemek, R. L. (2016). Association of persistent postconcussion symptoms with pediatric quality of life. Journal of the American Medical Association Pediatrics, 170(12), e162900. doi: 10.1001/jamapediatrics.2016.2900 Google Scholar PubMed
- O’Neill, J.A., Acherson, J.D., Johnston, J.M., Wilkins, S.A., Brown, S.T., Novack, T.A., & Schwebel, D.C. (2015). The sport concussion assessment tool-second edition and its relationship with attention and verbal learning in a pediatric population. Journal of Pediatric Neuropsychology, 1(1–4), 14–20. doi: 10.1007/s40817-015-0003-7 CrossRef Google Scholar
- Petersen, C., Scherwath, A., Fink, J., & Koch, U. (2008). Health-related quality of life and psychosocial consequences after mild traumatic brain injury in children and adolescents. Brain Injury, 22(3), 215–221. doi: 10.1080/02699050801935245 CrossRef Google Scholar PubMed
- Plourde, V., Yeates, K.O., & Brooks, B.L. (2019). Predictors of long-term psychosocial functioning and health-related quality of life in children and adolescents with prior concussions. Journal of the International Neuropsychological Society, 24(6), 540–548. doi: 10.1017/s1355617718000061 CrossRef Google Scholar
- R Core Team. (2016). A language and environment for statistical computing. R Foundation for Statistical Computing. Retrieved from https://www.R-project.org/Google Scholar
- Rieger, B.P., Lewandowski, L.J., Callahan, J.M., Spenceley, L., Truckenmiller, A., Gathje, R., & Miller, L.A. (2013). A prospective study of symptoms and neurocognitive outcomes in youth with concussion vs orthopaedic injuries. Brain Injury, 27(2), 169–178. doi: 10.3109/02699052.2012.729290 CrossRef Google Scholar PubMed
- Rivara, F.P., Koepsell, T.D., Wang, J., Temkin, N., Dorsch, A., Vavilala, M.S., … Jaffe, K.M. (2011). Disability 3, 12, and 24 months after traumatic brain injury among children and adolescents. Pediatrics, 128(5), e1129–e1138. doi: 10.1542/peds.2011-0840 CrossRef Google Scholar PubMed
- Rubin, D.B. (2004). Multiple imputation for nonresponse in surveys. New York: John Wiley & Sons. Google Scholar
- Russell, K., Selci, E., Chu, S., Fineblit, S., Ritchie, L., & Ellis, M.J. (2017). Longitudinal assessment of health-related quality of life following adolescent sports-related concussion. Journal of Neurotrauma, 34(13), 2147–2153. doi: 10.1089/neu.2016.4704 CrossRef Google Scholar PubMed
- Sady, M.D., Vaughan, C.G., & Gioia, G.A. (2014). Psychometric characteristics of the postconcussion symptom inventory in children and adolescents. Archives of Clinical Neuropsychology, 29(4), 348–363. doi: 10.1093/arclin/acu014 CrossRef Google Scholar PubMed
- Scopaz, K.A. & Hatzenbuehler, J.R. (2013). Risk modifiers for concussion and prolonged recovery. Sports Health, 5(6), 537–541. doi: 10.1177/1941738112473059 CrossRef Google Scholar PubMed
- Seiger, A., Goldwater, E., & Deibert, E. (2015). Does mechanism of injury play a role in recovery from concussion? Journal of Head Trauma Rehabilitation, 30(3), E52–E56. doi: 10.1097/htr.0000000000000051 CrossRef Google Scholar PubMed
- Steindel, S.J. (2010). International classification of diseases, 10th edition, clinical modification and procedure coding system: Descriptive overview of the next generation hipaa code sets. Journal of the American Medical Informatics Association, 17(3), 274–282. doi: 10.1136/jamia.2009.001230 CrossRef Google Scholar PubMed
- Studer, M., Goeggel Simonetti, B., Joeris, A., Margelisch, K., Steinlin, M., Roebers, C.M., & Heinks, T. (2014). Post-concussive symptoms and neuropsychological performance in the post-acute period following pediatric mild traumatic brain injury. Journal of the International Neuropsychological Society, 20(10), 982–993. doi: 10.1017/s1355617714000927 CrossRef Google Scholar PubMed
- Sullivan, K.A., Kempe, C.B., Edmed, S.L., & Bonanno, G.A. (2016). Resilience and other possible outcomes after mild traumatic brain injury: A systematic review. Neuropsychology Review, 26(2), 173–185. doi: 10.1007/s11065-016-9317-1 CrossRef Google Scholar PubMed
- Taylor, H.G., Orchinik, L.J., Minich, N., Dietrich, A., Nuss, K., Wright, M., … Yeates, K.O. (2015). Symptoms of persistent behavior problems in children with mild traumatic brain injury. Journal of Head Trauma Rehabilitation, 30(5), 302–310. doi: 10.1097/htr.0000000000000106 CrossRef Google Scholar PubMed
- van Buuren, S. (2012). Flexible imputation of missing data. Boca Raton, FL: Chapman & Hall/CRC. CrossRef Google Scholar
- van Buuren, S., Brand, J.P.L., Groothuis-Oudshoorn, C.G.M., & Rubin, D.B. (2006). Fully conditional specification in multivariate imputation. Journal of Statistical Computation, 76(12), 1049–1064. CrossRef Google Scholar
- Varni, J.W. & Burwinkle, T.M. (2006). The PedsQL as a patient-reported outcome in children and adolescents with attention-deficit/hyperactivity disorder: A population-based study. Health and Quality of Life Outcomes, 4, 26. doi: 10.1186/1477-7525-4-26 CrossRef Google Scholar PubMed
- Varni, J.W., Burwinkle, T.M., Seid, M., & Skarr, D. (2003). The PedsQL 4.0 as a pediatric population health measure: Feasibility, reliability, and validity. Ambulatory Pediatrics, 3(6), 329–341.2.0.CO;2>CrossRef Google Scholar PubMed
- Waber, D.P., Boiselle, E.C., Forbes, P.W., Girard, J.M., & Sideridis, G.D. (2019). Quality of life in children and adolescents with learning problems: Development and validation of the ld/qol15 scale. Journal of Learning Disabilities, 52(2), 146–157. doi: 10.1177/0022219418775119 CrossRef Google Scholar PubMed
- White, H. (1980). A heteroskedasticity-consistent covariance matrix estimator and a direct test for heteroskedasticity. Econometrica, 48, 817–830. CrossRef Google Scholar
- White, I.R., Royston, P., & Wood, A.M. (2011). Multiple imputation using chained equations: Issues and guidance for practice. Statistics in Medicine, 30(4), 377–399. doi: 10.1002/sim.4067 CrossRef Google Scholar PubMed
- WHO. (1946). Preamble to the constitution of the world health organization as adopted by the international health conference (Vol. Official Records of the World Health Organization, pp. 100). New York: World Health Organization. Google Scholar
- Yeates, K.O. (2010). Mild traumatic brain injury and postconcussive symptoms in children and adolescents. Journal of the International Neuropsychological Society, 16(6), 953–960. doi: 10.1017/S1355617710000986 CrossRef Google Scholar PubMed
- Zemek, R., Barrowman, N., Freedman, S.B., Gravel, J., Gagnon, I., McGahern, C., … Osmond, M.H. (2016). Clinical risk score for persistent postconcussion symptoms among children with acute concussion in the ED. Journal of the American Medical Association, 315(10), 1014–1025. doi: 10.1001/jama.2016.1203 CrossRef Google Scholar PubMed
- Zemek, R., Farion, K.J., Sampson, M., & McGahern, C. (2013a). Prognosticators of persistent symptoms following pediatric concussion: A systematic review. Journal of the American Medical Association Pediatrics, 167(3), 259–265. doi: 10.1001/2013.jamapediatrics.216 Google Scholar PubMed
- Zemek, R., Osmond, M.H., & Barrowman, N. (2013b). Predicting and preventing postconcussive problems in paediatrics (5p) study: Protocol for a prospective multicentre clinical prediction rule derivation study in children with concussion. BMJ Open, 3(8), pii: e003550. doi: 10.1136/bmjopen-2013-003550 CrossRef Google Scholar PubMed