Relationship Between Self-Reported Concomitant Depressive and Anxiety Symptoms and the Post-Concussion Symptoms Scale (PCSS)

The Sport Concussion Assessment Tool: A multidimensional symptom model for detecting elevated post-concussion symptoms

Objective: Investigate whether a four-factor model of post-concussion symptoms (i.e. cognitive, physical, affective, and sleep-arousal) aids in identifying student-athletes with persistent concerns not reflected by a total symptom score. Method: Collegiate student-athletes (N = 32,066) from the Concussion Assessment Research and Education consortium completed the Sport Concussion Assessment Tool, 3rd edition Symptom Evaluation at baseline and two post-injury follow-ups (i.e. beginning RTP and 6-month). Confirmatory factor analysis was used to compare a one- and four-factor model of post-concussion symptoms. Normative reference data were compared across stratifications (e.g. sex, prior concussions, and number of pre-existing conditions) using Mann-Whitney U tests, and elevation rates (i.e. ≥ 84th percentile) for subscales and the total score were recorded. Results: The four-factor model fit well before and after injury (CFIs > .95). Greater symptom severity on the subscale and total scores was associated with female sex (ps<.001, r range: .07 to .14) and more pre-existing conditions (ps<.001, η 2 range: .01 to .04), while having more prior concussions was only related to total symptom scores (ps<.001, η 2<.01). After a concussion, a sizeable portion of student-athletes (i.e., RTP = 11.8%; 6-month = 8.3%) had subscale elevations despite no total score elevation. Physical subscale elevations at RTP were the most common (i.e., 11.9%), driven by head and neck pain. Conclusion: After a sport-related concussion, a four-factor symptom model can be used to assess persistent symptoms in collegiate student-athletes. Identifying athletes with domain-specific elevations may help clinicians identify areas for further assessment and, in some cases, personalized rehabilitation plans.

Association Between Co-occurring Anxiety and Depressive Symptoms at Baseline and Risk for Sports-Related Concussion in Collegiate Athletes

Background

There is limited research examining whether mental health problems increase the risk for future concussions, even though these problems are highly prevalent in college-aged populations-including student-athletes.

Purpose/Hypothesis

To examine whether affective disturbance (ie, depressive and anxiety symptoms) at baseline increases the risk for prospective concussion. It was hypothesized that athletes with co-occurring depressive/anxiety symptoms would incur the greatest risk for injury.

Methods

A total of 878 collegiate athletes completed baseline neuropsychological testing. Athletes were separated into the following 4 groups based on self-reported anxiety and depressive symptoms at baseline: healthy controls; depressive symptoms alone; anxiety symptoms alone; and co-occurring depressive and anxiety symptoms. Of the 878 athletes, 88 sustained future concussions. Logistic regression was conducted with prospective concussion (yes/no) as the outcome and the affective group as the predictor. Sport was included as a covariate.

Results

After controlling for sport, athletes in the co-occurring depressive/anxiety symptoms group were more than twice as likely to be diagnosed with a future concussion compared with healthy controls (odds ratio, 2.72 [95% CI, 1.33-5.57]; P = .01). The co-occurring depressive/anxiety symptoms group also showed an increased risk for prospective concussion compared with the depressive symptoms alone and anxiety symptoms alone groups, respectively. However, the results were not statistically significant. Athletes in the depressive symptoms alone and anxiety symptoms alone groups did not show a significantly increased risk for prospective concussion compared with healthy controls.

Conclusion

Athletes with co-occurring depressive/anxiety symptoms at baseline showed a notably increased risk of being diagnosed with a future concussion, even after controlling for sport. This suggests that co-occurring depressive/anxiety symptoms infer a unique risk that is associated with a greater susceptibility to concussion diagnosis.

Screening for Anxiety and Depression Symptoms Using Concussion Symptom Scales Among Varsity Athletes

OBJECTIVE

This study examined associations between Sport Concussion Assessment Tool-5 (SCAT-5) symptom reporting and gold-standard measures of anxiety and depression, and explored the utility SCAT-5 symptom subscales to identify anxiety and depression symptomology.

DESIGN

Prospective cross-sectional study.

SETTING

York University in Toronto, Canada.

PARTICIPANTS

Preseason data were collected for varsity athletes (N = 296) aged between 17 and 25 years ( M = 20.01 years, SD = 1.69 years; 52% male).

MAIN OUTCOME MEASURES

The SCAT-5 symptom evaluation scale was used to assess baseline symptoms. The Generalized Anxiety Disorder Index-7 (GAD-7) and Patient Health Questionnaire-9 (PHQ-9) were used to assess symptoms of anxiety and depression, respectively.

RESULTS

Endorsement of SCAT-5 symptoms of feeling anxious, sadness, irritability, and feeling more emotional had the strongest correlations with the GAD-7 ( r' s > 0.400; P' s < 0.001). Sadness, trouble falling asleep, concentration problems, feeling slowed down, anxious, irritability, mental fog, fatigue, and memory problems had the highest correlations with the PHQ-9 ( r' s >0 .400; P' s < 0.001). The Emotional subscale from the SCAT-5 predicted mild to severe anxiety on the GAD-7 ( P < 0.001). The Sleep, Cognitive, and Emotional subscales predicted mild to severe depression on the PHQ-9 ( P' s < 0.05).

CONCLUSIONS

These findings provide better delineation of symptoms endorsed on the SCAT-5 symptoms that aid in identification of athletes with symptoms of anxiety or depression who may be at risk for developing a clinical disorder or experiencing persistent symptoms after a concussion.

Post-Concussion Symptoms in Women With Head Injury Due to Intimate Partner Violence

Limited research has examined the symptom sequelae of head injuries in women survivors of intimate partner violence (IPV), despite this community being at increased risk for neurotrauma due to partner abuse. The current study compared post-concussion symptom severity between women with and without IPV-related head injuries. Women were recruited from court jurisdictions in Kentucky, USA, after receiving a protective order for partner abuse. The sample included 268 women with no prior head injuries (age: M[standard deviation (SD)] = 31.8[9.8], 77.2% White) and 251 women with lifetime IPV-related head injuries (age: M[SD] = 31.8[9.8], 88.0% White). Women with IPV-related head injuries were slightly older (t = 2.46, p = 0.014) with lower education (χ2 = 5.81, p = 0.016), were more frequently unemployed (χ2 = 9.23, p = 0.002), and had a higher likelihood of residing in a rural setting (χ2 = 30.16, p < 0.001). Women with IPV-related head injuries were also more often White (χ2 = 10.47, p = 0.001), but this group difference was almost entirely related to rural versus urban residence. Women with IPV-related head injuries reported a higher severity of lifetime physical IPV (t = 7.27, p < 0.001, d = 0.64, 95% confidence interval [CI]: [.46, .82]) and sexual IPV (t = 4.65, p < 0.001, d = 0.41 [0.24, 0.59]). A three-factor model of post-concussion symptoms, inclusive of cognitive, physical, and emotional symptoms, fit well (χ2 = 368.99, p < 0.0001, comparative fit index [CFI] = 0.974, Tucker-Lewis index [TLI] = 0.968, root mean square error of approximation [RMSEA] = 0.079 [0.071, 0.087]), and showed evidence for strong measurement invariance across women with and without IPV-related head injuries. The subscale and total scores each had acceptable reliability: cognitive (ω = 0.88 [0.86, 0.90]), physical (ω = 0.74 [0.70, 0.77]), and emotional (ω = 0.88 [0.86, 0.89]), and total score (ω = 0.93 [0.92, 0.95]). Women with IPV-related head injuries reported all individual post-concussion symptoms at a significantly higher frequency, with medium group differences in cognitive (t = 7.57, p < 0.001, d = 0.67 [0.50, 0.85]) and physical symptoms (t = 7.73, p < 0.001, d = 0.68 [0.51, 0.86]) and large group differences in emotional (t = 8.51, p < 0.001, d = 0.75 [0.57, 0.93]) and total symptoms (t = 9.07, p < 0.001, d = 0.80 [0.62, 0.98]). All sociodemographic characteristics were independently associated with post-concussion symptoms, as were physical IPV (total score: r = 0.28 [0.19, 0.35], p < 0.001) and sexual IPV severity (total score: r = 0.22 [0.13, 0.30], p < 0.001). In hierarchical regression analyses, controlling for sociodemographic characteristics (i.e., age, race/ethnicity, education, unemployment, and rural/urban residence) and physical and sexual IPV severity, IPV-related head injury was independently significant and accounted for significant additional variance when predicting cognitive (ΔR2 = 0.05, p < 0.001), physical (ΔR2 = 0.03, p < 0.001), emotional (ΔR2 = 0.07, p < 0.001), and total symptoms (ΔR2 = 0.06, p < 0.001). Negative-binomial regression resulted in similar findings. This study demonstrates that multiple sociodemographic and IPV history variables are related to post-concussion symptom severity, but IPV-related head injury was independently associated with greater symptom severity. Women with IPV-related head injuries may be at increased risk for unaddressed health problems spanning cognitive, physical, and emotional domains. Future research is needed to psychometrically evaluate assessment instruments for this population and to assess efficacy of interventions to address their unique health care needs.

Musculoskeletal injury or Sports-Related Concussion (SRC) in a season of rugby union does not affect performance on concussion battery testing in university-aged student-athletes

BACKGROUND

Sub-concussive and concussive impacts sustained during contact sports such as rugby may affect neurocognitive performance, vestibular-ocular-motor function, symptom burden and academic ability.

METHOD

Student-athletes (n = 146) participating in rugby union British Universities or domestic competitions were assessed on the Immediate Post-Concussion and Cognitive Test, Post-Concussion Symptom Scale, vestibular-oculo-motor screening tool and revised perceived academic impact tool. Individual change from pre-season (July-September 2021) to 2-weeks following last exposure to contact (April-July 2022) was analysed.

RESULTS

Symptom burden significantly worsened (p=0.016) over the season. Significant improvements on verbal memory (p=0.016), visual memory (p=0.008) and motor processing speed (p=0.001) suggest a possible learning effect. Surprisingly, the number of days lost to concussion significantly and positively affected performance on verbal memory (p = 0.018) and reaction time (p = 0.027). Previous concussive events significantly predicted a worsening in symptom burden (p < 0.028), as did in-season concussive events, predicting improved verbal memory (p = 0.033) and symptom burden change (p = 0.047). Baseline performance significantly affected change on several neurocognitive tests, with low-scorers showing more improvement over the season.

CONCLUSION

Participation in rugby union was not associated with deleterious effects on brain function. Previous concussive events and in-season factors, possibly related to learning effects, may explain improvement in cognitive function across the season.

Affective Disturbance and Neurocognitive Variability in College Athletes

OBJECTIVE

Research on the neurocognitive effects of comorbid mood/anxiety disturbance in college athletes is limited. Previous research found that athletes with comorbid depression/anxiety performed worse on measures of attention/processing speed (A/PS) at baseline compared to healthy controls. However, this work solely examined mean performance. The current study expands upon this work by examining intraindividual variability (IIV) in relation to affective disturbance.

METHOD

835 (M = 624, F = 211) collegiate athletes completed baseline neuropsychological testing. Athletes were separated into four groups (Healthy Mood [n = 582], Depression Alone [n = 137], Anxiety Alone [n = 54], and Co-Occurring Depression/Anxiety [n = 62]) based on self-reported anxiety and depression. IIV was examined globally and within composites of A/PS and memory via intraindividual standard deviation, with higher scores indicating greater variability.

RESULTS

Linear regression results revealed that the Co-Occurring Depression/Anxiety group exhibited greater variability within the memory composite compared to the Healthy Mood group, as well as the Depression Alone and Anxiety Alone groups. The Depression Alone and Anxiety Alone groups did not differ from the Healthy Mood group on memory IIV. None of the groups differed on A/PS or global IIV.

CONCLUSIONS

Athletes with co-occurring depression/anxiety demonstrated greater variability in performance on memory tasks. Greater dispersion is predictive of greater cognitive decline following concussion; therefore, it is important that neuropsychological performance is interpreted beyond measures of central tendency. These findings also highlight the importance of having baseline data available for athletes with affective disturbance, as these factors may influence performance, place athlete at risk for poorer outcomes, and skew future post-concussion comparisons.

Relationship between subjective report and objective assessment of neurocognitive functioning in persons with multiple sclerosis

OBJECTIVE

Persons with multiple sclerosis (PwMS) are at increased risk for cognitive dysfunction. Considering the impact and potential ramifications of cognitive dysfunction, it is important that cognition is routinely assessed in PwMS. Thus, it is also important to identify a screener that is accurate and sensitive to MS-related cognitive difficulties, which can inform decisions for more resource-intensive neuropsychological testing. However, research focused on available self-report screeners has been mixed, such as with the Multiple Sclerosis Neuropsychological Screening Questionnaire (MSNQ). This study aims to clarify the relationship between subjective and objective assessment of cognitive functioning in MS by examining domain-specific performance and intraindividual variability (IIV).

METHODS

87 PwMS (F = 65, M = 22) completed a comprehensive neuropsychological battery which included self- and informant-report measures of neurocognitive functioning. Scores were examined in relation to mean performance on five domains of cognitive functioning and two measures of IIV.

RESULTS

The MSNQ-Self was inversely associated with executive function, verbal memory, and visual memory; it was not associated with IIV. The MSNQ-Informant was inversely associated with executive function and verbal memory, and positively associated with one measure of IIV. The MSNQ-Self showed a correlation of moderate effect size with depression (r = .39) while the MSNQ-Informant did not.

CONCLUSIONS

Results suggest that the MSNQ-Self and MSNQ-Informant show similar utility. Our findings also suggest that domains of executive function and memory may be most salient, thus more reflected in subjective reports of cognitive functioning. Future work should further examine the impact of mood disturbance with cognitive performance and IIV.

The Post-Concussion Symptom Scale: Normative Data for Adolescent Student-Athletes Stratified by Gender and Preexisting Conditions

BACKGROUND

The Post-Concussion Symptom Scale (PCSS) is a self-report questionnaire measuring symptoms that commonly occur after a concussion; however, these symptoms are nonspecific and can be related to co-occurring orthopaedic injuries (eg, cervical strain) or patient characteristics and preexisting conditions, even in the absence of a recent injury. As such, clinicians may have difficulty determining whether symptom elevations are attributable to a recent concussion as opposed to a confounding injury or a preexisting condition, which may be especially difficult when preinjury baseline symptom data are unavailable.

PURPOSE

This study aimed to further validate the 4-factor model of the PCSS (ie, cognitive, sleep-arousal, physical, and affective symptoms) with adolescent student-athletes and provide normative reference data for each factor and the total score, stratified by gender and preexisting health conditions.

STUDY DESIGN

Cross-sectional study; Level of evidence, 3.

METHODS

Participants were 9358 adolescent student-athletes who completed the PCSS during a preseason baseline evaluation (mean age, 14.9 years; SD, 1.3 years [range, 13-18 years]; 49.3% boys). The 4-factor model of the PCSS was tested for the full sample and separately for boys and girls using confirmatory factor analysis. Symptom severity percentiles were created for the PCSS total score and each factor, stratified by gender and preexisting conditions (ie, attention-deficit/hyperactivity disorder, mental health history, headache/migraine history, learning disability/dyslexia, academic problems, and concussion history).

RESULTS

The 4-factor model of the PCSS replicated in the full sample (comparative fit index [CFI] = 0.959) and in both gender groups (boys: CFI = 0.961; girls: CFI = 0.960). The total PCSS score at the 84th percentile varied by preexisting conditions as follows: healthy participants = 8, attention-deficit/hyperactivity disorder = 18, mental health history = 26, headache/migraine history = 18, learning disability = 19, and academic problems = 17. On all PCSS subscales, participants with a mental health history had the highest scores, and high scores were associated with having >1 preexisting condition. Girls had higher scores than boys for each stratification.

CONCLUSION

The 4-factor model of the PCSS replicates for adolescent student-athletes. Gender, number of preexisting conditions, and mental health history are important factors to account for when interpreting PCSS symptom severity. The normative data provided herein could assist clinicians in determining whether an adolescent student-athlete is presenting with persistent postconcussion symptoms or a typical symptom experience based on their gender and personal health history.