Post-Concussion and Post-Traumatic Stress Symptoms after Pediatric Traumatic Brain Injury: Shared Vulnerability Factors?

Following pediatric traumatic brain injury (TBI), post-concussion symptoms (PCS) and post-traumatic stress symptoms (PTSS) occur commonly; however, it is unknown to what degree they overlap. The study examined PCS and PTSS persisting 7 weeks after injury in children and adolescents ages 8-15 years with TBI (n = 89) or extracranial injury (EI; n = 40) after vehicle collisions. TBI was divided into mild, complicated-mild/moderate, and severe groups. Parents retrospectively rated children\u27s pre-injury symptoms and behavior problems, and children completed self-report measures after injury. PCS and PTSS total scores were significantly correlated in TBI and EI groups, respectively, for child (rs = 0.75; rs = 0.44), and adolescent (rs = 0.61; rs = 0.67) cohorts. Generalized linear models examined whether injury type and severity, age, sex, and pre-injury symptom ratings predicted PCS and PTSS total scores and factor scores. Specific PCS and PTSS factor scores were elevated in different TBI severity groups, with most frequent problems following mild or severe TBI. PCS did not differ by age; however, girls had more emotional symptoms than boys. Only PTSS were predicted by pre-injury externalizing behavior. Significant age by sex interactions indicated that adolescent girls had more total, avoidance, and hyperarousal PTSS symptoms than younger girls or all boys. PCS and PTSS significantly overlapped in both TBI and EI groups, highlighting shared persistent symptoms after injury. Shared vulnerability factors included female sex, milder TBI, and poorer pre-injury adjustment. Older age was a unique vulnerability factor for PTSS. Psychological health interventions after injury should be customized to address comorbid symptoms

Effect of adherence to self-monitoring of diet and physical activity on weight loss in a technology-supported behavioral intervention

Background: Examination of mediating behavioral factors could explain how an intervention works and thus provide guidance to optimize behavioral weight-loss programs. This study examined the mediating role of adherence to self-monitoring of diet and physical activity on weight loss in a behavioral weight-loss trial testing the use of personal digital assistants (PDA) for self-monitoring. Methods: Mediation analysis was conducted to examine the possible mediating role of adherence to self-monitoring of diet and physical activity between treatments using varying self-monitoring methods (paper record, PDA, and PDA with daily tailored feedback messages) and weight loss. Findings: The sample (N = 210) was predominantly white (78%) and female (85%). Compared to a paper record, using a PDA for self-monitoring diet (P = 0.027) and physical activity (P = 0.014) had significant direct effects on weight loss at 12 months, as well as a significant indirect effect on outcomes through improved adherence to self-monitoring (PS < 0.001). Receiving an automated daily feedback message via PDA only had a significant indirect effect on weight through self-monitoring adherence to diet (P = 0.004) and physical activity (P = 0.002). Conclusions: Adherence to self-monitoring of diet and physical activity is important as the underlying mechanism in this technology-supported behavioral weight-loss intervention. © 2012 Wang et al, publisher and licensee Dove Medical Press Ltd

As Time Goes by: Understanding Child and Family Factors Shaping Behavioral Outcomes After Traumatic Brain Injury

Objective: To model pre-injury child and family factors associated with the trajectory of internalizing and externalizing behavior problems across the first 3 years in children with pediatric traumatic brain injury (TBI) relative to children with orthopedic injuries (OI). Parent-reported emotional symptoms and conduct problems were expected to have unique and shared predictors. We hypothesized that TBI, female sex, greater pre-injury executive dysfunction, adjustment problems, lower income, and family dysfunction would be associated with less favorable outcomes. Methods: In a prospective longitudinal cohort study, we examined the level of behavior problems at 12 months after injury and rate of change from pre-injury to 12 months and from 12 to 36 months in children ages 4–15 years with mild to severe TBI relative to children with OI. A structural equation model framework incorporated injury characteristics, child demographic variables, as well as pre-injury child reserve and family attributes. Internalizing and externalizing behavior problems were indexed using the parent-rated Emotional Symptoms and Conduct Problems scales from the Strengths and Difficulties questionnaire. Results: The analysis cohort of 534 children [64% boys, M (SD) 8.8 (4.3) years of age] included 395 with mild to severe TBI and 139 with OI. Behavior ratings were higher after TBI than OI but did not differ by TBI severity. TBI, higher pre-injury executive dysfunction, and lower income predicted the level and trajectory of both Emotional Symptoms and Conduct Problems at 12 months. Female sex and poorer family functioning were vulnerability factors associated with greater increase and change in Emotional Symptoms by 12 months after injury; unique predictors of Conduct Problems included younger age and prior emotional/behavioral problems. Across the long-term follow-up from 12 to 36 months, Emotional Symptoms increased significantly and Conduct Problems stabilized. TBI was not a significant predictor of change during the chronic stage of recovery. Conclusions: After TBI, Emotional Symptoms and Conduct Problem scores were elevated, had different trajectories of change, increased or stayed elevated from 12 to 36 months after TBI, and did not return to pre-injury levels across the 3 year follow-up. These findings highlight the importance of addressing behavioral problems after TBI across an extended time frame

Measuring retention within the adolescent brain cognitive development (ABCD)SM study

The Adolescent Brain Cognitive Development (ABCD

A Preliminary DTI Tractography Study of Developmental Neuroplasticity 5-15 Years After Early Childhood Traumatic Brain Injury

Plasticity is often implicated as a reparative mechanism when addressing structural and functional brain development in young children following traumatic brain injury (TBI); however, conventional imaging methods may not capture the complexities of post-trauma development. The present study examined the cingulum bundles and perforant pathways using diffusion tensor imaging (DTI) in 21 children and adolescents (ages 10-18 years) 5-15 years after sustaining early childhood TBI in comparison with 19 demographically-matched typically-developing children. Verbal memory and executive functioning were also evaluated and analyzed in relation to DTI metrics. Beyond the expected direction of quantitative DTI metrics in the TBI group, we also found qualitative differences in the streamline density of both pathways generated from DTI tractography in over half of those with early TBI. These children exhibited hypertrophic cingulum bundles relative to the comparison group, and the number of tract streamlines negatively correlated with age at injury, particularly in the late-developing anterior regions of the cingulum; however, streamline density did not relate to executive functioning. Although streamline density of the perforant pathway was not related to age at injury, streamline density of the left perforant pathway was significantly and positively related to verbal memory scores in those with TBI, and a moderate effect size was found in the right hemisphere. DTI tractography may provide insight into developmental plasticity in children post-injury. While traditional DTI metrics demonstrate expected relations to cognitive performance in group-based analyses, altered growth is reflected in the white matter structures themselves in some children several years post-injury. Whether this plasticity is adaptive or maladaptive, and whether the alterations are structure-specific, warrants further investigation

Novel Psychiatric Disorder 6 Months After Traumatic Brain Injury in Children and Adolescents

OBJECTIVE: To investigate the factors predictive of novel psychiatric disorders in the interval 0-6 months following traumatic brain injury (TBI). METHODS: Children ages 5-14 years consecutively hospitalized for mild to severe TBI at five hospitals were recruited. Participants were evaluated at baseline (soon after injury) for pre-injury characteristics including psychiatric disorders, socioeconomic status (SES), psychosocial adversity, family function, family psychiatric history, and adaptive function. In addition to the psychosocial variables, injury severity and lesion location detected with acquisition of a research MRI were measured to develop a biopsychosocial predictive model for development of novel psychiatric disorders. Psychiatric outcome, including occurrence of a novel psychiatric disorder, was assessed 6 months after the injury. RESULTS: The recruited sample numbered 177 children, and 141 children (80%) returned for the six-month assessment. Of the 141 children, 58 (41%) developed a novel psychiatric disorder. In univariable analyses, novel psychiatric disorder was significantly associated with lower SES, higher psychosocial adversity, and lesions in frontal lobe locations, such as frontal white matter, superior frontal gyrus, inferior frontal gyrus, and orbital gyrus. Multivariable analyses found that novel psychiatric disorder was independently and significantly associated with frontal-lobe white matter, superior frontal gyrus, and orbital gyrus lesions. CONCLUSION: The results demonstrate that occurrence of novel psychiatric disorders following pediatric TBI requiring hospitalization is common and has identifiable psychosocial and specific biological predictors. However, only the lesion predictors were independently related to this adverse psychiatric outcome

Recommendations for the use of common outcome measures in pediatric traumatic brain injury research

This article addresses the need for age-relevant outcome measures for traumatic brain injury (TBI) research and summarizes the recommendations by the inter-agency Pediatric TBI Outcomes Workgroup. The Pediatric Workgroup\u27s recommendations address primary clinical research objectives including characterizing course of recovery from TBI, prediction of later outcome, measurement of treatment effects, and comparison of outcomes across studies. Consistent with other Common Data Elements (CDE) Workgroups, the Pediatric TBI Outcomes Workgroup adopted the standard three-tier system in its selection of measures. In the first tier, core measures included valid, robust, and widely applicable outcome measures with proven utility in pediatric TBI from each identified domain including academics, adaptive and daily living skills, family and environment, global outcome, health-related quality of life, infant and toddler measures, language and communication, neuropsychological impairment, physical functioning, psychiatric and psychological functioning, recovery of consciousness, social role participation and social competence, social cognition, and TBI-related symptoms. In the second tier, supplemental measures were recommended for consideration in TBI research focusing on specific topics or populations. In the third tier, emerging measures included important instruments currently under development, in the process of validation, or nearing the point of published findings that have significant potential to be superior to measures in the core and supplemental lists and may eventually replace them as evidence for their utility emerges

Novel Oppositional Defiant Disorder 6 Months After Traumatic Brain Injury in Children and Adolescents

OBJECTIVE: The investigators aimed to assess predictive factors of novel oppositional defiant disorder (ODD) among children and adolescents in the first 6 months following traumatic brain injury (TBI). METHODS: Children ages 5-14 years who experienced a TBI were recruited from consecutive admissions to five hospitals. Testing of a biopsychosocial model that may elucidate the development of novel ODD included assessment soon after injury (baseline) of preinjury characteristics, including psychiatric disorders, adaptive function, family function, psychosocial adversity, family psychiatric history, socioeconomic status, injury severity, and postinjury processing speed (which may be a proxy for brain injury). MRI analyses were also conducted to examine potential brain lesions. Psychiatric outcome, including that of novel ODD, was assessed 6 months after the injury. RESULTS: A total of 177 children and adolescents were recruited for the study, and 134 who were without preinjury ODD, conduct disorder, or disruptive behavior disorder not otherwise specified (DBD NOS) returned for the 6-month assessment. Of those who returned 6 months postinjury, 11 (8.2%) developed novel ODD, and none developed novel conduct disorder or DBD NOS. Novel ODD was significantly associated with socioeconomic status, preinjury family functioning, psychosocial adversity, and processing speed. CONCLUSIONS: These findings show that an important minority of children with TBI developed ODD. Psychosocial and injury-related variables, including socioeconomic status, lower family function, psychosocial adversity, and processing speed, significantly increase risk for this outcome

SMART trial: A randomized clinical trial of self-monitoring in behavioral weight management-design and baseline findings.

BACKGROUND: The primary form of treatment for obesity today is behavioral therapy. Self-monitoring diet and physical activity plays an important role in interventions targeting behavior and weight change. The SMART weight loss trial examined the impact of replacing the standard paper record used for self-monitoring with a personal digital assistant (PDA). This paper describes the design, methods, intervention, and baseline sample characteristics of the SMART trial. METHODS: The SMART trial used a 3-group design to determine the effects of different modes of self-monitoring on short- and long-term weight loss and on adherence to self-monitoring in a 24-month intervention. Participants were randomized to one of three conditions (1) use of a standard paper record (PR); (2) use of a PDA with dietary and physical activity software (PDA); or (3), use of a PDA with the same software plus a customized feedback program (PDA + FB). RESULTS: We screened 704 individuals and randomized 210. There were statistically but not clinically significant differences among the three cohorts in age, education, HDL cholesterol, blood glucose and systolic blood pressure. At 24 months, retention rate for the first of three cohorts was 90%. CONCLUSIONS: To the best of our knowledge, the SMART trial is the first large study to compare different methods of self-monitoring in a behavioral weight loss intervention and to compare the use of PDAs to conventional paper records. This study has the potential to reveal significant details about self-monitoring patterns and whether technology can improve adherence to this vital intervention component

Crop Updates 2007 - Cereals

This session covers twenty six papers from different authors: CEREAL BREEDING 1. Strategies for aligning producer and market imperatives in cereal breeding in Western Australia, R. Loughman, R. Lance, I. Barclay, G. Crosbie, S. Harasymow, W. Lambe, C. Li, R. McLean, C. Moore, K. Stefanova, A. Tarr and R. Wilson, Department of Agriculture and Food 2. LongReach plant breeders wheat variety trials – 2006, Matu Peipi and Matt Whiting, LongReach Plant Breeders WHEAT AGRONOMY 3. Response of wheat varieties to sowing time in the northern agricultural region in 2006, Christine Zaicou, Department of Agriculture and Food 4. Response of wheat varieties to sowing time in the central agricultural region in 2006, Shahajahan Miyan, Department of Agriculture and Food 5. Response of wheat varieties to sowing time in the Great Southern and Lakes region, Brenda Shackleyand Ian Hartley, Department of Agriculture and Food 6. Response of wheat varieties to time of sowing time in Esperance region in 2006, Christine Zaicou, Ben Curtis and Ian Hartley, Department of Agriculture and Food 7. Performance of wheat varieties in National Variety Testing (NVT) WA: Year 2, Peter Burgess, Agritech Crop Research 8. Flowering dates of wheat varieties in Western Australia in 2006, Darshan Sharma, Brenda Shackley and Christine Zaicou, Department of Agriculture and Food 9. Prospects for perennial wheat: A feasibility study, Len J. Wade, Lindsay W. Bell, Felicity Byrne (nee Flugge) and Mike A. Ewing, School of Plant Biology and CRC for Plant-based Management of Dryland Salinity, The University of Western Australia BARLEY AGRONOMY 10. Barley agronomy highlights: Time of sowing x variety, Blakely Paynter and Andrea Hills, Department of Agriculture and Food 11. Barley agronomy highlights: Weeds and row spacing, Blakely Paynter and Andrea Hills, Department of Agriculture and Food 12. Barley agronomy highlights: Weeds and barley variety, Blakely Paynter and Andrea Hills, Department of Agriculture and Food OAT AGRONOMY 13. Agronomic performance of dwarf potential milling oat varieties in varied environments of WA, Raj Malik, Blakely Paynter and Kellie Winfield, Department of Agriculture and Food 14. Sourcing oat production information in 2007, Kellie Winfield, Department of Agriculture and Food HERBICIDE TOLERANCE 15. Response of new wheat varieties to herbicides, Harmohinder Dhammu, Department of Agriculture and Food 16. Herbicide tolerance of new barley varieties, Harmohinder Dhammu, Vince Lambert and Chris Roberts, Department of Agriculture and Food 17. Herbicide tolerance of new oat varieties, Harmohinder Dhammu, Vince Lambert and Chris Roberts, Department of Agriculture and Food NUTRITION 18. Nitrogen Decision Tools – choose your weapon, Jeremy Lemon, Department of Agriculture and Food DISEASES 19. Barley agronomy highlights: Canopy management, Andrea Hills and Blakely Paynter, Department of Agriculture and Food 20. Barley agronomy highlights: Leaf diseases and spots, Andrea Hills and Blakely Paynter, Department of Agriculture and Food 21. Fungicide applications for stripe rust management in adult plant resistant (APR) wheat varieties, Geoff Thomas, Rob Loughman, Ian Hartley and Andrew Taylor; Department of Agriculture and Food 22. Effect of seed treatment with Jockey on time of onset and disease severity of stripe rust in wheat, Manisha Shankar, John Majewski and Rob Loughman, Department of Agriculture and Food 23. Rotations for management of Cereal Cyst Nematode, Vivien Vanstone, Department of Agriculture and Food 24. Occurrence of Wheat Streak Mosaic Virus in Western Australian grainbelt during the 2006 growing season, Brenda Coutts, Monica Kehoe and Roger Jones, Department of Agriculture and Food 25. Development of a seed test for Wheat Streak Mosaic Virus in bulk samples of wheat, Geoffrey Dwyer, Belinda Welsh, Cuiping Wang and Roger Jones, Department of Agriculture and Food MARKETS 26. Developing the Australian barley value chain, Linda Price, Barley Australi