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Cognitive impairment is common in persons with spinal cord injury (SCI), impacting their daily functioning and rehabilitation. This study assesses the extent of self-reported cognitive failures in everyday life in persons with SCI and its relationships with objective neurocognitive measures and psychosocial factors, including depressive mood, anxiety, perceived control, and fatigue. The differences between forty-one adults with a chronic SCI and forty-one able-bodied controls were examined. The participants completed the Cognitive Failures Questionnaire (CFQ) to assess cognitive failure and neurocognitive tests assessing attention and executive functions, as well as a psychosocial assessment. The SCI group reported higher cognitive failure rates than the able-bodied group (31.7% versus 19%, p > 0.05). Objective neurocognitive tests did not significantly correlate with the CFQ scores in either group. However, the CFQ scores were positively associated with most psychosocial factors, even after controlling for covariates. The CFQ scores were significantly associated with depressive mood in persons with SCI. These findings highlight the importance of incorporating self-reported cognitive measures into neurocognitive assessments and rehabilitation planning for adults with SCI. Self-reports capture everyday cognitive challenges that objective tests may miss. Additionally, this study highlights the strong connections between cognitive failures and psychosocial issues, particularly mood disorders, emphasizing the need for comprehensive rehabilitation and psychosocial support post-SCI, addressing both cognitive and emotional wellbeing. [ABSTRACT FROM AUTHOR]

Background: Mild cognitive impairment (MCI) is a common secondary condition associated with spinal cord injury (SCI). Cognitive reserve (CR) is believed to protect against cognitive decline and can be assessed by premorbid intelligence (pmIQ). Despite the potential utility of pmIQ as a complementary metric in the evaluation of MCI in SCI, this approach has been infrequently employed. The purpose of this study was to examine the association between MCI and pmIQ in adults with SCI with the aim of exploring the potential value of pmIQ as a marker of CR in this population. Methods: Cognitive function was assessed on three occasions in adults with SCI over a 12-month period post-injury, and pmIQ was assessed once at baseline. Demographic and mental health measures were also collected, and logistic regression was conducted to determine the strength of association between pmIQ and MCI while adjusting for factors such as mental health and age. Results: The regression analysis revealed that at the time of admission to SCI rehabilitation, the MCI assessed by a valid neurocognitive screen was strongly associated with pmIQ. That is, if a person has MCI, there was 5.4 greater odds (p < 0.01) that they will have poor pmIQ compared to a person without MCI after adjustment for age and mental health. Conclusions: The assessment of CR is an important area that should be considered to improve the process of diagnosing MCI in adults with an acute SCI and potentially facilitate earlier intervention to slow or prevent cognitive decline. [ABSTRACT FROM AUTHOR]

Adults with spinal cord injury (SCI) are reported to have heightened risk of cognitive impairment, notably mild cognitive impairment (MCI). Reports of increased risk of MCI are almost exclusively based on cross-sectional assessments of cognitive function using norm-referenced scores. Norm-referenced single-point assessments do not reflect cognitive decline at the individual level but rather represent between group differences in cognitive function. The practice of relying solely on norm-referenced assessment to study MCI after SCI is therefore problematic as it lends to potential misclassification of MCI. Premorbid intelligence estimates permit comparison of people's actual versus expected cognitive function and thereby can be used to validate the presence of genuine cognitive decline. These are not utilized in the assessment of MCI after SCI. This study simulated data for 500,000 adults with SCI to compare norm-referenced and premorbid-intelligence methods of screening for MCI to examine the potential extent of MCI misclassification after SCI resulting from the overreliance on norm-referenced methods and exclusion of premorbid intelligence methods. One in five to one in 13 simulated adults with SCI were potentially misclassified as having MCI showing that measures of premorbid cognitive function must be included in assessment of cognitive function after SCI. [ABSTRACT FROM AUTHOR]

Spinal cord injury (SCI) is a severe neurological injury that results in damage to multiple bodily systems. SCI rehabilitation requires a significant focus on improving adjustment to the injury. This paper presents a detailed description of the Spinal Cord Injury Adjustment Model (SCIAM), which clarifies how individuals adjust to SCI and contends that adjustment to SCI is a multifactorial process involving non-linear dynamic adaptation over time. Evidence supporting SCIAM is also discussed. Mediation analyses were conducted to test the mediator dynamics proposed by the model. The analyses tested the relationship between two moderators (self-care and secondary health conditions), mediators (two self-efficacy items and appraisal of quality of life or QoL), and positive versus negative vitality/mental health as outcomes. Results showed that higher self-efficacy and perceived QoL was related to greater independence in self-care and reduced negative impacts of secondary health conditions. This study supported the mediation role of self-efficacy and other appraisals such as perceived QoL in enhancing self-care and buffering the negative impact of health challenges. In conclusion, it is important to employ a holistic model such as SCIAM to conceptualise and increase understanding of the process of adjustment following a severe neurological injury such as SCI. [ABSTRACT FROM AUTHOR]

The assessment of mild cognitive impairment (MCI) following spinal cord injury (SCI) is vital. However, there are no neurocognitive screens which have been developed specifically to meet the unique requirements for SCI, nor are there consistent MCI criteria applied to determine the rates of MCI. The aim of this study was to determine the suitability of a neurocognitive screen for assessing MCI in adults with SCI. A total of 127 participants were recruited. Socio-demographic and injury related variables were assessed. All participants completed the screen. Descriptive statistics are provided for total/domain screen scores and all items, and the screen's ability to distinguish MCI was examined. Congeneric confirmatory factor analyses (CFA) were employed to investigate structural validity. The screen total score was sensitive to differences in neurocognitive capacity, as well as for time since the injury occurred (p < 0.01). The MCI rate ranged between 17–36%. CFA revealed attention and visuoconstruction domains had an adequate model fit and executive function had poor fit, while CFA models for memory and language did not fit the data (did not converge), hence could not be determined. While the screen differentiated between those with MCI and those without, and MCI as a function of time since injury, limitations of its suitability for assessing MCI after SCI exist, demonstrating the need for a specialized neurocognitive screen for adults with SCI. [ABSTRACT FROM AUTHOR]

Neuropathic pain in people with spinal cord injury is thought to be due to altered central neuronal activity. A novel therapeutic intervention using virtual reality (VR) head-mounted devices was investigated in this study for pain relief. Given the potential links to neuronal activity, the aim of the current study was to determine whether use of VR was associated with corresponding changes in electroencephalography (EEG) patterns linked to the presence of neuropathic pain. Using a within-subject, randomised cross-over pilot trial, we compared EEG activity for three conditions: no task eyes open state, 2D screen task and 3D VR task. We found an increase in delta activity in frontal regions for 3D VR with a decrease in theta activity. There was also a consistent decrease in relative alpha band (8–12 Hz) and an increase in low gamma (30–45 Hz) power during 2D screen and 3D VR corresponding, with reduced self-reported pain. Using the nonlinear and non-oscillatory method of extracting fractal dimensions, we found increases in brain complexity during 2D screen and 3D VR. We successfully classified the 3D VR condition from 2D screen and eyes opened no task conditions with an overall accuracy of 80.3%. The findings in this study have implications for using VR applications as a therapeutic intervention for neuropathic pain in people with spinal cord injury. [ABSTRACT FROM AUTHOR]

Chronic pain is prevalent in people with spinal cord injury (SCI). We investigated how chronic pain intensity and catastrophizing varies in adults with SCI during inpatient rehabilitation up to 12 months postinjury after transitioning into the community. Eighty-eight participants with SCI were assessed for pain intensity and catastrophizing, depressive mood states, and cognitive performance. Participants were divided into subgroups of clinically elevated depressive mood and anxiety versus those with normal mood state levels. The rate of clinically elevated pain catastrophizing was 22.5% at 12 months postinjury. Participants with elevated anxiety reported significantly higher pain intensity 12 months postinjury. Participants with clinically elevated depressive mood and anxiety reported significantly elevated pain catastrophizing 12 month postinjury. Findings indicate those with elevated depressive mood states will be more likely to have high levels of pain and engage in cognitive appraisals involving pain-related catastrophizing. Importantly, however, risk of increased pain intensity and catastrophizing occurred only after transitioning into the community, when personal resources will be severely challenged. Implications of these results for models of pain catastrophizing are discussed and it is concluded there is a need for ongoing support in the community to develop self-management skills and strategies that strengthen social support networks.Perspective: We studied pain catastrophizing and negative mood states in adults with SCI. Catastrophizing was higher in those with depression, but only after discharge from hospital into the community. Results provide direction for improving treatment of pain catastrophizing in adults with SCI who are depressive and anxious. [ABSTRACT FROM AUTHOR]

Objectives: Spinal cord injury (SCI) is a catastrophic event that may result in diminished physical, social, and mental health. The main objective of this research was to establish inpatient factors that contribute to social participation following discharge into the community.Design: Prospective longitudinal design with measures taken three times, soon after admission to rehabilitation (N = 88), at discharge from the inpatient phase (N = 81) and 6 months following discharge (N = 71).Methods: Participants included adults with SCI admitted into three SCI units over a 33-month period. Assessment included demographic, injury, and psychosocial health measures. Adjustment was defined by the extent of social re-integration or participation post-discharge after 6 months in the community. Social participation was measured by the Impact on Participation and Autonomy Questionnaire (IPAQ). Logistic regression models were used to establish inpatient factors that significantly predicted social participation 6 months post-discharge.Results: Six months after discharge, around 55% of the sample had difficulties with social participation. The odds against being employed for an adult with poor social participation was found to be 8.4 to 1. Factors that predicted social participation included a younger age, having less severe secondary medical complications like bladder and bowel dysfunction, having a higher cognitive capacity, perceiving one has control (self-efficacy) over one's life and environment, and having greater perceived social support.Conclusions: These results provide direction for enhancing existing psychosocial health strategies within SCI rehabilitation, affording an opportunity for every person who sustains a permanent SCI to have optimal capacity for social participation. Statement of contribution What is already known on this subject? Spinal cord injury (SCI) is associated with significant challenges to wellbeing, including a high risk of secondary chronic illnesses, risk of co-morbid mental health problems, financial insecurity and social isolation. Research has shown poor social participation can lead to problems in re-integration into society following discharge from inpatient rehabilitation. Research to date has examined various factors related to poor social participation, but the majority of this research has been survey based with convenience samples. What does this study add? This study adds results of prospective longitudinal research on adjustment following SCI, where adjustment was defined by the rate of social participation when living in the community. About one-third of SCI participants were found to have very poor social participation, and only one-third had found some form of employment 6 months after discharge. Multiple factors were found to predict and contribute to poor social participation, including older age when injured, more severe medical complications, cognitive deficits, poor perceptions of control or self-efficacy, and poor social support. [ABSTRACT FROM AUTHOR]

Purpose: To examine change in resilience in people with spinal cord injury (SCI) when group cognitive behavior therapy (GCBT) was added to routine psychosocial rehabilitation (RPR). Research Method/ Design: A prospective repeated-measures cohort design was used to determine the efficacy of the addition of GCBT (n = 50). The control group consisted of individuals receiving RPR. which included access to individual CBT (ICBT) when required (n = 38). Groups were assessed on 3 occasions: soon after admission, within 2 weeks of discharge, and 6-months postdischarge. Measures included sociodemographic, injury, and psychosocial factors. The outcome variable was resilience, considered an important outcome measure for recovery. To adjust for baseline differences in self-efficacy, depressive mood and anxiety between the 2 groups, these factors were entered into a repeated measures multivariate analysis of covariance (MANCOVA) as covariates. Latent class analysis was used to determine the best-fitting model of resilience trajectories for both groups. Results: The MANCOVA indicated that the addition of GCBT to psychosocial rehabilitation did not result in improved resilience compared with the ICBT group. Trajectory data indicated over 60% were demonstrating acceptable resilience irrespective of group. Conclusion/Implications: Changes in resilience mean scores suggest the addition of GCBT adds little to resilience outcomes. Latent class modeling indicated both groups experienced similar trajectories of improvement and deterioration. Results highlight the importance of conducting multivariate modeling analysis that isolates subgroups of related cases over time to understand complex trajectories. Further research is needed to clarify individual differences in CBT intervention preference as well as other factors which impact on resilience. [ABSTRACT FROM AUTHOR]