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.

The role of concussion history and biological sex on baseline concussion clinical profile symptoms in adolescent rugby players

BACKGROUND

Accurate concussion monitoring requires access to preinjury baseline data. This is particularly important in adolescent athletes who have a high risk of concussion and are prone to prolonged recovery. As Rugby Union is governed by similar laws for men and women, it is also an ideal population to rigorously examine the impact of biological sex on concussion symptoms.

AIMS

To evaluate self-reported concussion symptoms at baseline in adolescent rugby union players, and examine if subtype-specific symptoms are affected by concussion history and biological sex.

METHODS

Adolescent rugby union players aged 16-18 years were recruited during the 2022-2023 playing season. Participants completed a series of questionnaires covering post-concussion symptoms, concussion clinical profiles, anxiety, depression and fear avoidance behaviours. Independent variables of interest in analysis were biological sex and concussion history.

RESULTS

149 participants (75% male) were included. 42% (63/149) reported at least one previous concussion (average time since concussion: 18.7 months, range 1-72). Adolescents with a concussion history reported significantly higher scores than those with no history, across two clinical profiles (ocular and sleep), concussion symptom severity, and depression, all based on medium effect sizes (SMD 0.3-0.5). Females had significantly higher scores across cognitive/fatigue, ocular and sleep clinical profiles, concussion symptoms, anxiety and depression, each with large effect sizes (SMD > 0.5).

CONCLUSIONS

Concussion history and sex are associated with higher baseline scores on specific concussion clinical profile, concussion symptom severity, and anxiety symptoms. These findings highlight the importance of considering baseline differences when interpreting post-injury clinical profile symptoms in adolescent rugby players. (Trial registration: ACTRN12622000931774).

Progesterone Levels in Adolescent Female Athletes May Contribute to Decreased Cognitive Performance During Acute Phase of Sports-Related Concussion

Although many outcome studies pertaining to sports-related concussion exist, female athletes with concussion remain an understudied group. We examined whether neurocognitive performance in adolescent females with sports-related concussion (SRC) is related to menstrual cycle-related hormone levels measured at one-week post-concussion, one-month post-concussion, or both. Thirty-eight female athletes, ages 14-18, were matched into two groups: SRC or healthy control. Self-reported symptom scores were higher among concussed females in the luteal phase, when progesterone levels are highest. Results suggest that progesterone levels may contribute to a heightened experience of symptoms during the acute phase of SRC, providing further evidence of a possible link between progesterone and symptom scores following concussion.

The Influence of the COVID-19 Pandemic on Baseline Concussion Symptom Assessments Among Adolescents

Introduction The COVID-19 pandemic resulted in the cancellation of high school sports in spring 2020, a modified resumption of sports in the 2020-2021 academic year, and a return to pre-pandemic sports in 2021-2022. This cancellation had a major impact on the quality of life of adolescent athletes, but it is unknown exactly how these pandemic-driven sports disruptions on athlete baseline (preseason) symptoms affected quality of life. Therefore, the current study retrospectively evaluated symptom inventories from Immediate Post-Concussion Assessment and Cognitive Testing (ImPACT) assessments to determine whether the cancellation of sports during the COVID-19 pandemic affected baseline (preseason) self-reported symptoms among adolescent athletes. Methods Our study used a retrospective cohort design to evaluate high school athletes with complete ImPACT assessments in the academic years before (2018-2019 and 2019-2020), during (2020-2021), and after (2021-2022) the pandemic. Specifically, data from a 22-item symptom report called the Post-Concussion Symptom Scale (PCSS) assessed during ImPACT was collected and analyzed using generalized linear models with a Tweedie exponential dispersion model and post hoc Tukey's honestly significant difference tests. The main outcomes were the total symptom severity score and the affective cluster score. Secondary outcomes were the analysis of the vestibular-somatic, cognitive-sensory, and sleep-arousal symptom clusters. Results Of the 104,274 ImPACT assessments, the total symptom severity score on the PCSS was different across years (p<0.001). There were lower symptom scores in 2020-2021 (5.33, 95% CI = 5.13-5.54) than in 2018-2019 (6.82, 95% CI = 6.63-7.01), 2019-2020 (6.94, 95% CI = 6.75-7.14), and 2021-2022 (6.44, 95% CI = 6.25-6.64). The cluster scores on the PCSS for affective, cognitive-sensory, sleep-arousal, and vestibular-somatic were also lower (p<0.001) in 2020-2021 than in 2018-2019, 2019-2020, and 2021-2022. Conclusion Contrary to our expectations, total symptom severity and cluster scores on the PCSS during the pandemic (2020-2021) were significantly lower than during the years before and after the pandemic-driven sports disruptions, suggesting the pandemic did not negatively affect these athletes as expected. These results also suggested that self-reported symptoms utilized in the PCSS component of ImPACT may not be as sensitive to sports disruption among adolescent athletes as other quality-of-life measures, especially during the COVID-19 pandemic.

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.

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.

Baseline concussion assessments can identify mental disorders: SCAT-5 and other screening tools in South African club rugby

OBJECTIVES

Although mental health screenings are not routinely conducted in rugby, the Sport Concussion Assessment Tool - Fifth Edition (SCAT-5) is widely performed and measures affective, cognitive, sleep, and physical symptoms. This study investigated the psychometric properties of the SCAT-5 to explore its potential as a mental health screening tool.

METHODS

During preseason for the 2021 Western Province Super League A in South Africa, clinicians conducted mental health assessments of 71 adult male rugby union players. The SCAT-5 Symptom Evaluation, Baron Depression Screener for Athletes (BDSA), Athlete Psychological Strain Questionnaire (APSQ), Center for Epidemiologic Studies-Depression (CES-D), and Generalized Anxiety Disorder-7 (GAD-7) were compared to each other and to fully structured diagnostic interviews by mental health professionals using the Mini International Neuropsychiatric Interview (MINI) 7.0.2.

RESULTS

Lifetime MINI-defined mental disorders were common, being identified in 33.8% (95% CI 22.79-46.17%). Only 4.29% of participants had a previous diagnosis. Exploratory Factor Analysis indicated a mental health construct of depression/anxiety being measured by the SCAT-5. The SCAT-5 had strong internal consistency (α = 0.94) and showed moderate convergent validity with the CES-D (r = 0.34; p = 0.008) and GAD-7 (r = 0.49; p < 0.0001). The area under the curve for the ability of the SCAT-5 to identify current disorders was 0.87 (p = 0.003), on par with the CES-D and GAD-7.

CONCLUSION

Since the SCAT-5 has the potential to identify depression and anxiety, it may allow mental health screening without the need for additional measures. Follow-up studies should further explore its discriminative ability in larger samples.

Multisystem recovery after sport-related concussion in adolescent rugby players: a prospective study protocol

INTRODUCTION

Sport-related concussion is one of the most common injuries in adolescent rugby players with evidence of prolonged recovery in some concussed athletes. Concussion is a complex pathophysiological process that can affect a variety of subsystems with multifactorial presentation. Most research on adolescents recovery after concussion focuses on neurocognitive functioning and symptom outcomes over the short term. There is a need to explore concussion recovery over time across multiple subsystems in adolescent rugby players.

METHODS AND ANALYSIS

This prospective study will use sensorimotor and oculomotor outcomes in adolescent male and female rugby players aged 16-18 years. Players will be recruited from school or club rugby teams across the province of Ulster. Baseline assessment will be undertaken at the start of the playing season and will include questionnaires, Quantified Y Balance Test and Pupillary Light Reflex. Players who sustain a concussive event will be reassessed on all outcomes at 3 days, 7 days, 14 days, 23 days, 90 days, 180 days and 365 days postconcussion. For serial outcome data, we will examine response curves for each participant and make comparisons between known groups. We will use logistic regression to explore any association between demographic variables and recovery. The strength of the predictive model will be determined using R2, p values and ORs, with 95% CIs.

ETHICS AND DISSEMINATION

Ethical approval has been granted for this study from Ulster University Research Ethics Committee (REC/14/0060). This study will be published in an open-access research journal on completion.

TRIAL REGISTRATION NUMBER

ACTRN12622000931774p.

Characterizing Symptoms Before and Following Concussion in Professional Hockey

OBJECTIVE

Examine SCAT5 baseline and acute symptom subscales in professional hockey players.

DESIGN

Longitudinal case-control.

SETTING

Preseason medical evaluations and suspected concussion evaluations.

PARTICIPANTS

NHL/AHL players were given the NHL-modified SCAT5 before the 2018-2019 season (n = 1924). During the season, English-speaking players evaluated within 1 day of injury and diagnosed with concussion (n = 140) were compared with players evaluated for possible concussion, but not given a concussion diagnosis (n = 174).

INDEPENDENT VARIABLES

Concussion diagnosis and demographic characteristics.

MAIN OUTCOME MEASURES

Postconcussion Symptoms Scale (PCSS) items were subdivided into affective/emotional, cognitive, somatic/physical, sleep, and headache subscales.

RESULTS

Cognitive (13%), somatic/physical (10%), sleep (26%), affective (18%), and headache (6%) symptoms were reported by players at baseline. Concussed players reported more acute symptoms than active controls on each of the subscales (all P's < 0.001). Players who underwent a suspected concussion evaluation were more likely to be diagnosed with concussion if they reported affective/emotional symptoms at baseline (P < 0.001). Postinjury cognitive (P < 0.001), somatic/physical (P < 0.001), and headache (P < 0.001) symptoms best differentiated concussed players and active controls.

CONCLUSIONS

Player reports of increased cognitive difficulties, somatic/physical difficulties, and headache were most associated with concussion diagnosis at the acute evaluation. An abbreviated "acute" PCSS that includes only headache, cognitive, and/or physical symptoms may be useful for diagnostic purposes when evaluation time is limited. Approximately 2% of players reported significantly elevated affective/emotional symptoms at baseline and report of affective/emotional symptoms at baseline was associated with an increased likelihood of concussion diagnosis among players referred for a suspected concussion evaluation.

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

OBJECTIVES

The current study explored how affective disturbances, particularly concomitant anxiety and depressive symptoms, impact baseline symptom self-reporting on the Post-Concussion Symptoms Scale (PCSS) in college athletes.

METHODS

Athletes were separated into four groups (Healthy Control (HC) (n = 581), Depression Only (n = 136), Anxiety Only (n = 54), Concomitant Depression/Anxiety (n = 62)) based on their anxiety and depression scores. Groups were compared on Total PCSS Score as well as 5 PCSS Symptom Cluster scores (Cognitive, Physical, Affective, Sleep, and Headache).

RESULTS

The three affective groups reported significantly greater symptomatology than HCs, with the Concomitant group showing the highest symptomatology scores across all clusters. The depressive symptoms only group also reported significantly elevated symptomatology, compared to HCs, on every symptom cluster except headache. The anxiety symptoms only group differed from HCs on only the cognitive symptoms cluster. Additionally, the Concomitant group reported significantly increased PCSS symptomatology, in terms of total scores and all 5 symptom clusters, compared to the depressive symptoms only and anxiety symptoms only groups.

CONCLUSIONS

Our findings suggest that athletes experiencing concomitant depressive/anxiety symptoms report significantly greater levels of symptomatology across all 5 PCSS symptom clusters compared to HCs. Further, results suggest that athletes experiencing concomitant affective disturbance tend to report greater symptomatology than those with only one affective disturbance. These findings are important because, despite the absence of concussion, the concomitant group demonstrated significantly elevated symptomatology at baseline. Thus, future comparisons with post-concussion data should account for this increased symptomatology, as test results may be skewed by affective disturbances at baseline.

Use of acute cognitive symptom cluster to predict return-to-learn duration following a sport-related concussion

OBJECTIVE

Adolescents sustaining sport-related concussion often experience difficulties with the return-to-learn (RTL) process. Whereas the initial symptom burden has predicted prolonged RTL, no studies have established a relationship between acute cognitive symptoms and RTL duration. The authors sought to evaluate the relationship between initial cognitive symptoms and RTL duration.

METHODS

A retrospective single-institution cohort study of adolescent athletes aged 12-23 years who were evaluated within 5 days of a diagnosed sport-related concussion between November 2017 and October 2020 was conducted. Athletes missing cognitive symptom ratings and RTL data were excluded. The primary exposure variable was the Cognitive Symptom Ratio (CSR), defined as total cognitive symptom cluster score divided by total Post-Concussion Symptom Scale (PCSS) score from the initial clinic visit. Primary and secondary outcomes were time to RTL and total length of care, respectively. Multivariable Cox proportional hazards modeling was used to assess the effect of CSR on RTL duration.

RESULTS

Of 653 athletes evaluated within 5 days of injury, 346 patients were included in the final cohort. Athletes reported a median initial PCSS score of 21 (interquartile range [IQR] 6-37) and a median cognitive symptom score of 4 (IQR 0-9). Most patients endorsed some degree of difficulty concentrating (n = 212, 61.3%). The median CSR was 0.18 (IQR 0.00-0.27). On multivariable regression analysis, a higher CSR was associated with prolonged RTL duration (HR 0.30, 95% CI 0.13-0.69, p = 0.004). When initial PCSS score was added to the model, the previously significant association between CSR and RTL was no longer significant (HR 0.67, 95% CI 0.29-1.59, p = 0.367). When dichotomized based on frequency distribution, a higher proportion of patients with low CSR achieved RTL by 7 days postinjury (82.2% vs 69.9%, p = 0.007), a difference not seen at 14 days (92.2% vs 87.3%, p = 0.133).

CONCLUSIONS

An acute ratio of cognitive symptoms may predict patients at increased risk for prolonged RTL and those with normal PCSS scores who may experience difficulties once resuming school activities.

Comorbid Affective Symptomatology and Neurocognitive Performance in College Athletes

OBJECTIVES

The current study aims to examine the prevalence rates and the relationship of symptoms of depression, anxiety, and comorbid depression/anxiety with neurocognitive performance in college athletes at baseline. We hypothesized a priori that the mood disturbance groups would perform worse than healthy controls, with the comorbid group performing worst overall.

METHODS

Eight hundred and thirty-one (M = 620, F = 211) collegiate athletes completed a comprehensive neuropsychological test battery at baseline which included self-report measures of anxiety and depression. Athletes were separated into four groups [Healthy Control (HC) (n = 578), Depressive Symptoms Only (n = 137), Anxiety Symptoms Only (n = 54), and Comorbid Depressive/Anxiety Symptoms (n = 62)] based on their anxiety and depression scores. Athletes' neurocognitive functioning was analyzed via Z score composites of Attention/Processing Speed and Memory.

RESULTS

One-way analysis of variance revealed that, compared to HC athletes, the comorbid group performed significantly worse on measures of Attention/Processing Speed but not Memory. However, those in the depressive symptoms only and anxiety symptoms only groups were not significantly different from one another or the HC group on neurocognitive outcomes. Chi-square analyses revealed that a significantly greater proportion of athletes in all three affective groups were neurocognitively impaired compared to the HC group.

CONCLUSIONS

These results demonstrate that collegiate athletes with comorbid depressive/anxiety symptoms should be identified, as their poorer cognitive performance at baseline could complicate post-concussion interpretation. Thus, assessing for mood disturbance at baseline is essential to obtain an accurate measurement of baseline functioning. Further, given the negative health outcomes associated with affective symptomatology, especially comorbidities, it is important to provide care as appropriate.

Comparison of the PHQ9 and ImPACT symptom cluster scores in measuring depression among college athletes

Accurate identification of athletes in need of mental health services is essential. The clinical utility of the Patient Health Questionnaire - 9 (PHQ-9), a stand-alone measure of depression, was explored among Division II college athletes (n = 1,209) completing pre-participation concussion baseline assessments (mean age = 19.28), which also included Immediate Post-Concussion Assessment and Cognitive Testing (ImPACT). ImPACT's symptom inventory can be divided into four clusters: affective, cognitive, physical/somatic, and sleep. Most athletes (81.9%) did not endorse any items on the affective symptom cluster; however, 90 athletes (7.4%) fell above the cutoff of 5 for depression on the PHQ-9, and approximately half of all athletes endorsed one or more PHQ-9 items. Simple linear regressions revealed ImPACT's sleep symptom cluster as the best predictor of PHQ-9 total score; however, affective, cognitive, and physical symptom clusters significantly predicted PHQ-9 total score as well. Due to relative under-endorsement of items on ImPACT's affective symptom cluster compared to the PHQ-9, the clinical utility of incorporating a stand-alone measure of depression such as the PHQ-9 during baseline testing is supported.