Pub Date : 2024-07-06DOI: 10.1093/arclin/acae052.01
A. S. Mathew, A. Datoc, L. C. Hartland, K. Roberts, J. Sexton, J. P. Abt
While previous research has demonstrated that cervicogenic symptoms may affect initial symptom burden, mixed findings exist regarding its effects on recovery time. The purpose of this study was to compare acutely injured pediatric sports-related concussion (SRC) patients, with and without cervicogenic symptoms, in terms of symptom burden, vestibular ocular motor components, and recovery time. Data were gathered from patients aged 8–18 years, evaluated within seven days since injury, and with and without cervicogenic symptoms. Demographic data were examined based on age, gender, race, and ethnicity. The neck and suboccipital regions were assessed for range of motion, tenderness, and spasm. Overall VOMS change score was calculated using Elbin et al., 2022 criteria. Symptom burden was assessed using Post-Concussion Symptom Scale (PCSS) scores. Analysis of variance and regression analyses were conducted. Of the 2018 pediatric patients diagnosed with SRC, 552 had cervicogenic symptoms. Those with cervicogenic symptoms had significantly greater PCSS scores (MCervical = 35.50¬ ± 23.50, MNoCervical = 21.70¬ ± 20.80), overall VOMS change scores (MCervical = 17.90¬ ± 17.40, MNoCervical = 12.00¬ ± 15.30) and longer recovery time (MCervical = 22.90¬ ± 13.90, MNoCervical = 20.0¬ ± 14.60) compared to those without cervicogenic symptoms (p < 0.001). The model revealed a significant interaction effect between cervicogenic symptoms, VOMS, and PCSS (R2 = 0.128, F(3, 1898) = 93.49, p < 0.001). Our results showed that pediatric patients with cervicogenic symptoms not only demonstrate greater concussion symptom burden as demonstrated by PCSS and VOMS, but also take longer to recover than those without cervicogenic concerns. The results underscore the need for early detection and treatment of cervicogenic issues alongside standard concussion management to expedite recovery.
{"title":"A - 01 Differences in Recovery among Acutely Injured Pediatric Concussion Patients with and without Cervicogenic Symptoms","authors":"A. S. Mathew, A. Datoc, L. C. Hartland, K. Roberts, J. Sexton, J. P. Abt","doi":"10.1093/arclin/acae052.01","DOIUrl":"https://doi.org/10.1093/arclin/acae052.01","url":null,"abstract":"\u0000 \u0000 \u0000 While previous research has demonstrated that cervicogenic symptoms may affect initial symptom burden, mixed findings exist regarding its effects on recovery time. The purpose of this study was to compare acutely injured pediatric sports-related concussion (SRC) patients, with and without cervicogenic symptoms, in terms of symptom burden, vestibular ocular motor components, and recovery time.\u0000 \u0000 \u0000 \u0000 Data were gathered from patients aged 8–18 years, evaluated within seven days since injury, and with and without cervicogenic symptoms. Demographic data were examined based on age, gender, race, and ethnicity. The neck and suboccipital regions were assessed for range of motion, tenderness, and spasm. Overall VOMS change score was calculated using Elbin et al., 2022 criteria. Symptom burden was assessed using Post-Concussion Symptom Scale (PCSS) scores. Analysis of variance and regression analyses were conducted.\u0000 \u0000 \u0000 \u0000 Of the 2018 pediatric patients diagnosed with SRC, 552 had cervicogenic symptoms. Those with cervicogenic symptoms had significantly greater PCSS scores (MCervical = 35.50¬ ± 23.50, MNoCervical = 21.70¬ ± 20.80), overall VOMS change scores (MCervical = 17.90¬ ± 17.40, MNoCervical = 12.00¬ ± 15.30) and longer recovery time (MCervical = 22.90¬ ± 13.90, MNoCervical = 20.0¬ ± 14.60) compared to those without cervicogenic symptoms (p < 0.001). The model revealed a significant interaction effect between cervicogenic symptoms, VOMS, and PCSS (R2 = 0.128, F(3, 1898) = 93.49, p < 0.001).\u0000 \u0000 \u0000 \u0000 Our results showed that pediatric patients with cervicogenic symptoms not only demonstrate greater concussion symptom burden as demonstrated by PCSS and VOMS, but also take longer to recover than those without cervicogenic concerns. The results underscore the need for early detection and treatment of cervicogenic issues alongside standard concussion management to expedite recovery.\u0000","PeriodicalId":8176,"journal":{"name":"Archives of Clinical Neuropsychology","volume":null,"pages":null},"PeriodicalIF":2.1,"publicationDate":"2024-07-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141672877","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-07-06DOI: 10.1093/arclin/acae052.14
K. Stephenson, J. E. Maietta, A. Kissinger-Knox, N. E. Cook, G. L. Iverson
To determine if there are race-associated differences in Sway Medical System balance and cognitive test scores among athletes undergoing baseline preseason testing. Athletes between 12 and 23 years old were administered the Sway Medical System balance and cognitive tests during pre-season baseline testing. Participants who did not report a past medical history of ADHD or concussion within the past 6 months were included (N = 32,918). Athletes who self-identified as “Black or African American”or “White”were compared on Balance, Reaction Time, Inspection Time, Impulse Control, and Memory module scores using Mann–Whitney U tests, and statistical tests were stratified by age and gender. The race-associated differences (effect sizes) between Black and White athletes ranged from extremely small (negligible) to small across all ages for both genders on Balance, Reaction Time, Inspection Time, and Impulse Control scores. For the Memory module, the effect sizes ranged from small to medium across all ages for both genders. White boys obtained higher Memory scores than Black boys (Hedge’s g = −0.18 to −0.43) and White men obtained higher Memory scores than Black men (g = −0.30 to −0.60). White girls obtained higher Memory scores than Black girls (g = −0.19 to −0.34). The race-associated differences between Black and White student-athletes on Sway Medical System balance and cognitive test scores are generally negligible. The reasons for modest race-associated differences in Memory scores are unknown and future research to examine the potential role or influence of social risk factors and social psychological factors on test scores is recommended.
{"title":"A - 14 Examining Race-Associated Differences on Sway Medical System Balance and Cognitive Tests","authors":"K. Stephenson, J. E. Maietta, A. Kissinger-Knox, N. E. Cook, G. L. Iverson","doi":"10.1093/arclin/acae052.14","DOIUrl":"https://doi.org/10.1093/arclin/acae052.14","url":null,"abstract":"\u0000 \u0000 \u0000 To determine if there are race-associated differences in Sway Medical System balance and cognitive test scores among athletes undergoing baseline preseason testing.\u0000 \u0000 \u0000 \u0000 Athletes between 12 and 23 years old were administered the Sway Medical System balance and cognitive tests during pre-season baseline testing. Participants who did not report a past medical history of ADHD or concussion within the past 6 months were included (N = 32,918). Athletes who self-identified as “Black or African American”or “White”were compared on Balance, Reaction Time, Inspection Time, Impulse Control, and Memory module scores using Mann–Whitney U tests, and statistical tests were stratified by age and gender.\u0000 \u0000 \u0000 \u0000 The race-associated differences (effect sizes) between Black and White athletes ranged from extremely small (negligible) to small across all ages for both genders on Balance, Reaction Time, Inspection Time, and Impulse Control scores. For the Memory module, the effect sizes ranged from small to medium across all ages for both genders. White boys obtained higher Memory scores than Black boys (Hedge’s g = −0.18 to −0.43) and White men obtained higher Memory scores than Black men (g = −0.30 to −0.60). White girls obtained higher Memory scores than Black girls (g = −0.19 to −0.34).\u0000 \u0000 \u0000 \u0000 The race-associated differences between Black and White student-athletes on Sway Medical System balance and cognitive test scores are generally negligible. The reasons for modest race-associated differences in Memory scores are unknown and future research to examine the potential role or influence of social risk factors and social psychological factors on test scores is recommended.\u0000","PeriodicalId":8176,"journal":{"name":"Archives of Clinical Neuropsychology","volume":null,"pages":null},"PeriodicalIF":2.1,"publicationDate":"2024-07-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141672188","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-07-06DOI: 10.1093/arclin/acae052.19
A. J. Tracey, A. C. Bretzin, A. Rettmann, D. J. Wiebe, T. Covassin
The purpose of this study was to determine the psychometric properties of a concussion symptom checklist and psychological health-related quality of life (PHRQoL) inventories administered by novel, mobile ecological momentary assessment (EMA) platform, Recovering Concussion Update on Progression of Symptoms (ReCoUPS) in healthy individuals. We enrolled 53 healthy individuals (female = 34; Μ age = 20.79 years, SD = 2.68) into our test–retest reliability study using the ReCoUPS platform on participants’smartphones. Thirty survey questions from the Sport Concussion Assessment Tool6 (SCAT-6) and the PROMIS Emotional Distress Shorts Forms Anxiety and Depression (PROMISAnx and PROMISDepress), were administered at random times, daily, for 7 days via ReCoUPS text messages. Eight days after enrollment, participants completed recalled PHRQoL (rPHRQoL) inventories (i.e., “within the past 7 days”). Cronbach’s alpha (Α) determined the internal consistency of momentary PHRQoL (mPHRQoL). Intraclass correlation coefficients (ICC), 2-way mixed effects model (95% confidence intervals,[CI]) measured agreement between rHRQoL and mPHRQoL. Spearman’s rho (rs) correlation coefficients determined linear relationships between mPHRQoL and SCAT-6 symptom clusters. There was strong internal consistency among all mPHRQoL items (PROMISAnx Α = 0.83; PROMISDepress Α = 0.95). rPHRQoL demonstrated excellent agreement with mPHRQoL (PROMISAnx ICC = 0.92, 95% CI: 0.57–0.99; PROMISDepress ICC = 0.79, 95% CI: −0.09-0.99). mPROMISAnx was significantly correlated with all clusters (affective rs = 0.81, p < 0.001; cognitive-fatigue rs = 0.66, p < 0.001; migraine rs = 0.34; p < 0.001). mPROMISDepress was significantly correlated with affective (rs = 0.69, p < 0.001) and cognitive-fatigue (rs = 0.58, p < 0.001) clusters. These findings ensure the robustness and generalizability of administering the SCAT-6 symptom checklist, PROMISAnx, and PROMISDepress via ReCoUPS for monitoring concussion symptoms and PHRQoL in healthy participants.
{"title":"A - 19 Reliability of Mobile Ecologic Momentary Assessment Platform ReCoUPS to Monitor Concussion Symptoms and Psychological HRQoL","authors":"A. J. Tracey, A. C. Bretzin, A. Rettmann, D. J. Wiebe, T. Covassin","doi":"10.1093/arclin/acae052.19","DOIUrl":"https://doi.org/10.1093/arclin/acae052.19","url":null,"abstract":"\u0000 \u0000 \u0000 The purpose of this study was to determine the psychometric properties of a concussion symptom checklist and psychological health-related quality of life (PHRQoL) inventories administered by novel, mobile ecological momentary assessment (EMA) platform, Recovering Concussion Update on Progression of Symptoms (ReCoUPS) in healthy individuals.\u0000 \u0000 \u0000 \u0000 We enrolled 53 healthy individuals (female = 34; Μ age = 20.79 years, SD = 2.68) into our test–retest reliability study using the ReCoUPS platform on participants’smartphones. Thirty survey questions from the Sport Concussion Assessment Tool6 (SCAT-6) and the PROMIS Emotional Distress Shorts Forms Anxiety and Depression (PROMISAnx and PROMISDepress), were administered at random times, daily, for 7 days via ReCoUPS text messages. Eight days after enrollment, participants completed recalled PHRQoL (rPHRQoL) inventories (i.e., “within the past 7 days”). Cronbach’s alpha (Α) determined the internal consistency of momentary PHRQoL (mPHRQoL). Intraclass correlation coefficients (ICC), 2-way mixed effects model (95% confidence intervals,[CI]) measured agreement between rHRQoL and mPHRQoL. Spearman’s rho (rs) correlation coefficients determined linear relationships between mPHRQoL and SCAT-6 symptom clusters.\u0000 \u0000 \u0000 \u0000 There was strong internal consistency among all mPHRQoL items (PROMISAnx Α = 0.83; PROMISDepress Α = 0.95). rPHRQoL demonstrated excellent agreement with mPHRQoL (PROMISAnx ICC = 0.92, 95% CI: 0.57–0.99; PROMISDepress ICC = 0.79, 95% CI: −0.09-0.99). mPROMISAnx was significantly correlated with all clusters (affective rs = 0.81, p < 0.001; cognitive-fatigue rs = 0.66, p < 0.001; migraine rs = 0.34; p < 0.001). mPROMISDepress was significantly correlated with affective (rs = 0.69, p < 0.001) and cognitive-fatigue (rs = 0.58, p < 0.001) clusters.\u0000 \u0000 \u0000 \u0000 These findings ensure the robustness and generalizability of administering the SCAT-6 symptom checklist, PROMISAnx, and PROMISDepress via ReCoUPS for monitoring concussion symptoms and PHRQoL in healthy participants.\u0000","PeriodicalId":8176,"journal":{"name":"Archives of Clinical Neuropsychology","volume":null,"pages":null},"PeriodicalIF":2.1,"publicationDate":"2024-07-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141671915","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-07-06DOI: 10.1093/arclin/acae052.17
D. June, M. Iampietro, Z. Zelikovsky, M. Grady, C. Master
This person-centered study examined pre-injury psychological and neurodevelopmental risk factors in youth experiencing persistent concussion symptoms (PCS). Latent class analysis (LCA) was used to empirically define groups of children and adolescents experiencing PCS, and compare their functional outcomes. 126 pediatric patients (Mean age = 15.94 years; 65.1% female) experiencing PCS (Mean time since injury = 315 days) participated in a clinical neuropsychological consultation and evaluation within the Minds Matter Concussion Program at Children’s Hospital of Philadelphia. LCA models were run using pre-injury variables (mood and anxiety concerns, attention and learning challenges). Functional outcomes (neuropsychological performance, academic decline, symptom magnification) were then compared across the resulting classes. Statistical indicators [Akaike Information Criteria (804.59), adjusted Bayesian Information Criteria (801.01), Bootstrap Likelihood Ratio Test (p < 0.001)] indicated that a two-class model provided the best fit. Class 1 (n = 58) was predominately females (78.3%) with comorbid pre-injury developmental (46.6% learning challenges, 54.6% attention concerns) and psychological concerns (75.6% anxiety, 48.9% mood concerns). Class 2 (n = 68) was half females (49.8%) with fewer comorbid pre-injury developmental (14.6% learning challenges, 22.5% attention concerns) and psychological concerns (39.3% anxiety, 0% mood concerns). The two classes did not significantly differ on functional outcomes. Standardized testing scores were within the average range across the sample. Pre-injury risk factors contribute to persistent symptom experience and functional complaints in the absence of objective cognitive impairment. Given the incidence across groups, these findings highlight the importance of understanding psychological and neurodevelopmental factors, as well as sex-based differences when directing referrals and treatment of PCS within a multidisciplinary program.
{"title":"A - 17 Pre-injury Predictors of Protracted Recovery from Pediatric Concussion: a Latent Class Analysis","authors":"D. June, M. Iampietro, Z. Zelikovsky, M. Grady, C. Master","doi":"10.1093/arclin/acae052.17","DOIUrl":"https://doi.org/10.1093/arclin/acae052.17","url":null,"abstract":"\u0000 \u0000 \u0000 This person-centered study examined pre-injury psychological and neurodevelopmental risk factors in youth experiencing persistent concussion symptoms (PCS). Latent class analysis (LCA) was used to empirically define groups of children and adolescents experiencing PCS, and compare their functional outcomes.\u0000 \u0000 \u0000 \u0000 126 pediatric patients (Mean age = 15.94 years; 65.1% female) experiencing PCS (Mean time since injury = 315 days) participated in a clinical neuropsychological consultation and evaluation within the Minds Matter Concussion Program at Children’s Hospital of Philadelphia. LCA models were run using pre-injury variables (mood and anxiety concerns, attention and learning challenges). Functional outcomes (neuropsychological performance, academic decline, symptom magnification) were then compared across the resulting classes.\u0000 \u0000 \u0000 \u0000 Statistical indicators [Akaike Information Criteria (804.59), adjusted Bayesian Information Criteria (801.01), Bootstrap Likelihood Ratio Test (p < 0.001)] indicated that a two-class model provided the best fit. Class 1 (n = 58) was predominately females (78.3%) with comorbid pre-injury developmental (46.6% learning challenges, 54.6% attention concerns) and psychological concerns (75.6% anxiety, 48.9% mood concerns). Class 2 (n = 68) was half females (49.8%) with fewer comorbid pre-injury developmental (14.6% learning challenges, 22.5% attention concerns) and psychological concerns (39.3% anxiety, 0% mood concerns). The two classes did not significantly differ on functional outcomes. Standardized testing scores were within the average range across the sample.\u0000 \u0000 \u0000 \u0000 Pre-injury risk factors contribute to persistent symptom experience and functional complaints in the absence of objective cognitive impairment. Given the incidence across groups, these findings highlight the importance of understanding psychological and neurodevelopmental factors, as well as sex-based differences when directing referrals and treatment of PCS within a multidisciplinary program.\u0000","PeriodicalId":8176,"journal":{"name":"Archives of Clinical Neuropsychology","volume":null,"pages":null},"PeriodicalIF":2.1,"publicationDate":"2024-07-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141672114","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-07-06DOI: 10.1093/arclin/acae052.41
A. J. Zynda, C. Perry, A. Reed, M. Collins, A. Kontos, A. Trbovich
To examine the relationship between fear-avoidance behavior, clinical outcomes, and recovery time in adults following concussion. This prospective study included patients aged 18–50 years who presented to a specialty clinic 5–30 days post-concussion. Participants completed a clinical intake (e.g., demographics/medical history), multidomain clinical assessment (Clinical Profile Screen [CP-Screen], Immediate Post-concussion Cognitive Testing [ImPACT], Vestibular/Ocular Motor Screen [VOMS], Patient Health Questionnaire-9 [PHQ-9], Generalized Anxiety Disorder-7 [GAD-7]), and the Fear-Avoidance Components Scale (FACS). Recovery time was ascertained at a subsequent visit(s). Fear-avoidant (FA) and non-fear-avoidant (NFA) groups were classified using cutoffs from the FACS (FA = 41–100; NFA = 0–40) and compared using independent samples t-tests, X2 tests, and analyses of covariance. Seventy-two participants (M = 28.7¬ ± 8.5 years, 69.4% female) were included: 37 (51.4%) in the FA and 35 (48.6%) in the NFA group. Groups did not differ on demographics, medical history, injury characteristics, or CP-Screen. A greater proportion of the FA group had the anxiety/mood profile (62.2% vs 31.4%, p < 0.01). The FA group had worse ImPACT reaction time (t(68) = −2.7, p < 0.01, d = −0.7), VOMS visual motion sensitivity (t(67) = −2.3, p = 0.03, d = −0.5), GAD-7 (t(70) = −3.9, p < 0.01, d = −0.9), and PHQ-9 (t(69) = −2.8, p < 0.01, d = −0.7) scores, and longer recovery (t(24) = −2.8, p = 0.01, d = −0.9), even when controlling for age and time to clinic (F[1, 22] = 4.6, p = 0.04, ηp2 = 0.17). Adults who reported high fear-avoidance (e.g., avoiding activity, catastrophizing) had worse clinical outcomes and longer recovery following concussion compared to non-fear-avoidant adults, despite no differences in demographics, medical history, injury characteristics, or symptoms. Clinicians should screen for and counsel adults post-concussion against engaging in fear-avoidance behaviors to improve recovery outcomes.
{"title":"A - 41 Relationship between Fear-Avoidance Behavior, Clinical Outcomes, and Recovery Time in Adults Following Concussion","authors":"A. J. Zynda, C. Perry, A. Reed, M. Collins, A. Kontos, A. Trbovich","doi":"10.1093/arclin/acae052.41","DOIUrl":"https://doi.org/10.1093/arclin/acae052.41","url":null,"abstract":"\u0000 \u0000 \u0000 To examine the relationship between fear-avoidance behavior, clinical outcomes, and recovery time in adults following concussion.\u0000 \u0000 \u0000 \u0000 This prospective study included patients aged 18–50 years who presented to a specialty clinic 5–30 days post-concussion. Participants completed a clinical intake (e.g., demographics/medical history), multidomain clinical assessment (Clinical Profile Screen [CP-Screen], Immediate Post-concussion Cognitive Testing [ImPACT], Vestibular/Ocular Motor Screen [VOMS], Patient Health Questionnaire-9 [PHQ-9], Generalized Anxiety Disorder-7 [GAD-7]), and the Fear-Avoidance Components Scale (FACS). Recovery time was ascertained at a subsequent visit(s). Fear-avoidant (FA) and non-fear-avoidant (NFA) groups were classified using cutoffs from the FACS (FA = 41–100; NFA = 0–40) and compared using independent samples t-tests, X2 tests, and analyses of covariance.\u0000 \u0000 \u0000 \u0000 Seventy-two participants (M = 28.7¬ ± 8.5 years, 69.4% female) were included: 37 (51.4%) in the FA and 35 (48.6%) in the NFA group. Groups did not differ on demographics, medical history, injury characteristics, or CP-Screen. A greater proportion of the FA group had the anxiety/mood profile (62.2% vs 31.4%, p < 0.01). The FA group had worse ImPACT reaction time (t(68) = −2.7, p < 0.01, d = −0.7), VOMS visual motion sensitivity (t(67) = −2.3, p = 0.03, d = −0.5), GAD-7 (t(70) = −3.9, p < 0.01, d = −0.9), and PHQ-9 (t(69) = −2.8, p < 0.01, d = −0.7) scores, and longer recovery (t(24) = −2.8, p = 0.01, d = −0.9), even when controlling for age and time to clinic (F[1, 22] = 4.6, p = 0.04, ηp2 = 0.17).\u0000 \u0000 \u0000 \u0000 Adults who reported high fear-avoidance (e.g., avoiding activity, catastrophizing) had worse clinical outcomes and longer recovery following concussion compared to non-fear-avoidant adults, despite no differences in demographics, medical history, injury characteristics, or symptoms. Clinicians should screen for and counsel adults post-concussion against engaging in fear-avoidance behaviors to improve recovery outcomes.\u0000","PeriodicalId":8176,"journal":{"name":"Archives of Clinical Neuropsychology","volume":null,"pages":null},"PeriodicalIF":2.1,"publicationDate":"2024-07-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141672685","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-07-06DOI: 10.1093/arclin/acae052.46
M. Doucette, M. Garcia-Barrera
While previous quantitative research has explored the malleability of executive functions in sports, there’s a gap in understanding athletes’ descriptions and utilization of executive functions during gameplay. Understanding these processes from athletes’ perspectives is crucial for developing relevant assessments, particularly following sports-related concussion (SRC), as well as using accessible athlete-driven language to describing executive function in sports neuropsychology. Thus, our study aimed to explore how athletes deploy executive functions during games and identify the most crucial executive function components for success. 19 Canadian collegiate athletes (ages 18–25; 37% female) with a history of SRC across various sports (soccer, volleyball, rugby, and basketball) were recruited. Participants completed semi-structured interviews via Zoom with a focus on identifying their executive function processes in their respective sports. Thematic analysis, following Braun and Clarke’s (2006) approach, was used to analyze the interview transcripts. We generated three themes: 1) Planning, organizing, and deciding action before actively involved in the play; 2) Problem solving when the contingencies for the pre-planned play changes; 3) Processing and evaluating performance immediately after a play. These results provide nuance to our understanding of executive functions in sport by gaining insight into how athletes think while playing, information that neither tasks nor questionnaires offer. Through qualitative interviews, we discovered athletes engage in various executive processes throughout the game, including strategic planning and problem-solving. Overall, this study highlights specific executive processes employed throughout a game, which may become areas of focus for assessment, interventions, and follow-up for athletes following SRC.
{"title":"A - 46 Putting Together “Puzzle Pieces” of the Game: Executive Functions in Athletes with Sports-Related Concussion History","authors":"M. Doucette, M. Garcia-Barrera","doi":"10.1093/arclin/acae052.46","DOIUrl":"https://doi.org/10.1093/arclin/acae052.46","url":null,"abstract":"\u0000 \u0000 \u0000 While previous quantitative research has explored the malleability of executive functions in sports, there’s a gap in understanding athletes’ descriptions and utilization of executive functions during gameplay. Understanding these processes from athletes’ perspectives is crucial for developing relevant assessments, particularly following sports-related concussion (SRC), as well as using accessible athlete-driven language to describing executive function in sports neuropsychology. Thus, our study aimed to explore how athletes deploy executive functions during games and identify the most crucial executive function components for success.\u0000 \u0000 \u0000 \u0000 19 Canadian collegiate athletes (ages 18–25; 37% female) with a history of SRC across various sports (soccer, volleyball, rugby, and basketball) were recruited. Participants completed semi-structured interviews via Zoom with a focus on identifying their executive function processes in their respective sports. Thematic analysis, following Braun and Clarke’s (2006) approach, was used to analyze the interview transcripts.\u0000 \u0000 \u0000 \u0000 We generated three themes: 1) Planning, organizing, and deciding action before actively involved in the play; 2) Problem solving when the contingencies for the pre-planned play changes; 3) Processing and evaluating performance immediately after a play.\u0000 \u0000 \u0000 \u0000 These results provide nuance to our understanding of executive functions in sport by gaining insight into how athletes think while playing, information that neither tasks nor questionnaires offer. Through qualitative interviews, we discovered athletes engage in various executive processes throughout the game, including strategic planning and problem-solving. Overall, this study highlights specific executive processes employed throughout a game, which may become areas of focus for assessment, interventions, and follow-up for athletes following SRC.\u0000","PeriodicalId":8176,"journal":{"name":"Archives of Clinical Neuropsychology","volume":null,"pages":null},"PeriodicalIF":2.1,"publicationDate":"2024-07-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141671847","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-07-06DOI: 10.1093/arclin/acae052.08
E. Clise, A. Logalbo
To investigate how digital (e-sports) vs traditional (physical) sports affect athletes’mental health outcomes and identity perceptions. 39 e-sports athletes (37 male, 2 female, aged 17–23) and 188 physical athletes (94 male, 94 female, aged 17–23) were administered the Athletic Identity Measurement Scale-Plus (AIMS-Plus), Patient Health Questionnaire-9 (PHQ-9), and Generalized Anxiety Disorder 7th Edition (GAD-7) questionnaire during baseline concussion testing. The AIMS-Plus questionnaire contains a Role Identity Rating, where athletes rate the importance of family, friendships, athletics, academics, religion, and romance in their lives (0–100). No significant differences in PHQ-9 and GAD-7 totals were observed between e-sports and physical athletes [p > 0.05]. E-sports athletes rated athletic and family identity lower than physical sports athletes (p = 0.015). Among physical sports athletes, higher athletic and family identity ratings were associated with lower PHQ-9 scores (p = 0.015), contrasting with nonsignificant findings in e-sports athletes. Among physical sports athletes, those participating in individual sports endorsed more symptoms on both GAD-7 and PHQ-9 than team sports athletes (p = 0.009; p = 0.045). Furthermore, individual sports athletes also rated family and athletic identity lower than team sports athletes (p < 0.001; p = 0.041). Sport modality (digital or physical) does not affect mental health scores, suggesting that other factors influence student-athlete emotional functioning. Stronger athletic and family-role identity may serve as protective factors against depression for physical athletes. Although e-sports athletes rated athletic and family-roles lower, they did not appear to be more likely to experience emotional distress. Findings have implications for tailoring treatment to different types of athletes.
{"title":"A - 08 Mental Health and Identity in Digital vs. Physical Sports (Individual vs. Team Dynamics)","authors":"E. Clise, A. Logalbo","doi":"10.1093/arclin/acae052.08","DOIUrl":"https://doi.org/10.1093/arclin/acae052.08","url":null,"abstract":"\u0000 \u0000 \u0000 To investigate how digital (e-sports) vs traditional (physical) sports affect athletes’mental health outcomes and identity perceptions.\u0000 \u0000 \u0000 \u0000 39 e-sports athletes (37 male, 2 female, aged 17–23) and 188 physical athletes (94 male, 94 female, aged 17–23) were administered the Athletic Identity Measurement Scale-Plus (AIMS-Plus), Patient Health Questionnaire-9 (PHQ-9), and Generalized Anxiety Disorder 7th Edition (GAD-7) questionnaire during baseline concussion testing. The AIMS-Plus questionnaire contains a Role Identity Rating, where athletes rate the importance of family, friendships, athletics, academics, religion, and romance in their lives (0–100).\u0000 \u0000 \u0000 \u0000 No significant differences in PHQ-9 and GAD-7 totals were observed between e-sports and physical athletes [p > 0.05]. E-sports athletes rated athletic and family identity lower than physical sports athletes (p = 0.015). Among physical sports athletes, higher athletic and family identity ratings were associated with lower PHQ-9 scores (p = 0.015), contrasting with nonsignificant findings in e-sports athletes. Among physical sports athletes, those participating in individual sports endorsed more symptoms on both GAD-7 and PHQ-9 than team sports athletes (p = 0.009; p = 0.045). Furthermore, individual sports athletes also rated family and athletic identity lower than team sports athletes (p < 0.001; p = 0.041).\u0000 \u0000 \u0000 \u0000 Sport modality (digital or physical) does not affect mental health scores, suggesting that other factors influence student-athlete emotional functioning. Stronger athletic and family-role identity may serve as protective factors against depression for physical athletes. Although e-sports athletes rated athletic and family-roles lower, they did not appear to be more likely to experience emotional distress. Findings have implications for tailoring treatment to different types of athletes.\u0000","PeriodicalId":8176,"journal":{"name":"Archives of Clinical Neuropsychology","volume":null,"pages":null},"PeriodicalIF":2.1,"publicationDate":"2024-07-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141672968","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-07-06DOI: 10.1093/arclin/acae052.09
A. Collyer, K. Murray, K. Miller, A. Capriglione, N. D’Argenzio, S. Baath, A. Logalbo
To examine the relationship between pre-existing individual characteristics and concussion outcomes among collegiate athletes. Archival data were analyzed from 142 collegiate athletes, ages 17–24 (M = 19.84, SD = 1.50), diagnosed with concussion based on cognitive impairment and symptom endorsement (CS; n = 88) or symptom endorsement alone (S; n = 54). Statistical analyses revealed no significant group differences for nearly all pre-existing individual characteristics analyzed, including sex, depressive symptoms, history of ADHD, baseline ImPACT performance, and balance. However, among baseline SCAT-5 symptom clusters, a chi-squared test of independence revealed a statistically significant association between group and endorsement of one or more symptoms of the cognitive fatigue cluster, χ2(2) = 5.82, p = 0.016, Cramer’s V = 0.20. Specifically, CS athletes were more likely to endorse cognitive fatigue than S athletes. No group differences were observed among other baseline SCAT-5 symptom clusters. Meanwhile, a Mann–Whitney U test indicated that post-concussive PHQ-9 scores were significantly higher for CS athletes (Mdn = 3.50) than S athletes (Mdn = 2.00), U = 1727.50, z = −2.59, p = 0.010. Moreover, CS athletes were more likely to endorse more post-trauma symptomatology than S athletes, in addition to demonstrating cognitive impairments. Compared to pre-existing individual characteristics, the severity of post-concussive symptoms appears to be a better indicator of concussion outcome in terms of whether athletes present with symptoms only versus symptoms and cognitive impairment. This suggests that these differences in outcome may be better explained by injury-related factors (e.g., severity of injury or impact).
目的：研究大学生运动员原有的个人特征与脑震荡后果之间的关系。 对 142 名大学生运动员的档案数据进行了分析，这些运动员的年龄在 17-24 岁之间（中=19.84，小=1.50），根据认知障碍和症状认可（CS；n = 88）或仅症状认可（S；n = 54）被诊断为脑震荡。 统计分析显示，几乎所有已存在的个体特征（包括性别、抑郁症状、ADHD病史、基线ImPACT表现和平衡能力）都没有明显的组间差异。然而，在基线 SCAT-5 症状群中，独立的卡方检验显示，组别与认知疲劳群中的一个或多个症状之间存在统计学意义上的显著关联，χ2（2）= 5.82，p = 0.016，Cramer's V = 0.20。具体来说，CS 运动员比 S 运动员更容易出现认知疲劳。在 SCAT-5 的其他基线症状群中，没有观察到组间差异。同时，曼-惠特尼 U 检验表明，CS 运动员撞击后 PHQ-9 分数（Mdn = 3.50）明显高于 S 运动员（Mdn = 2.00），U = 1727.50，z = -2.59，p = 0.010。此外，除了表现出认知障碍外，CS 运动员比 S 运动员更有可能出现更多的创伤后症状。 与先前存在的个体特征相比，就运动员仅表现出症状还是表现出症状和认知障碍而言，脑震荡后症状的严重程度似乎是脑震荡结果的更好指标。这表明，受伤相关因素（如受伤或撞击的严重程度）可以更好地解释这些结果上的差异。
{"title":"A - 09 An Examination of Pre-Existing Individual Characteristics and Concussion Presentations among Collegiate Athletes","authors":"A. Collyer, K. Murray, K. Miller, A. Capriglione, N. D‚ÄôArgenzio, S. Baath, A. Logalbo","doi":"10.1093/arclin/acae052.09","DOIUrl":"https://doi.org/10.1093/arclin/acae052.09","url":null,"abstract":"\u0000 \u0000 \u0000 To examine the relationship between pre-existing individual characteristics and concussion outcomes among collegiate athletes.\u0000 \u0000 \u0000 \u0000 Archival data were analyzed from 142 collegiate athletes, ages 17–24 (M = 19.84, SD = 1.50), diagnosed with concussion based on cognitive impairment and symptom endorsement (CS; n = 88) or symptom endorsement alone (S; n = 54).\u0000 \u0000 \u0000 \u0000 Statistical analyses revealed no significant group differences for nearly all pre-existing individual characteristics analyzed, including sex, depressive symptoms, history of ADHD, baseline ImPACT performance, and balance. However, among baseline SCAT-5 symptom clusters, a chi-squared test of independence revealed a statistically significant association between group and endorsement of one or more symptoms of the cognitive fatigue cluster, χ2(2) = 5.82, p = 0.016, Cramer’s V = 0.20. Specifically, CS athletes were more likely to endorse cognitive fatigue than S athletes. No group differences were observed among other baseline SCAT-5 symptom clusters. Meanwhile, a Mann–Whitney U test indicated that post-concussive PHQ-9 scores were significantly higher for CS athletes (Mdn = 3.50) than S athletes (Mdn = 2.00), U = 1727.50, z = −2.59, p = 0.010. Moreover, CS athletes were more likely to endorse more post-trauma symptomatology than S athletes, in addition to demonstrating cognitive impairments.\u0000 \u0000 \u0000 \u0000 Compared to pre-existing individual characteristics, the severity of post-concussive symptoms appears to be a better indicator of concussion outcome in terms of whether athletes present with symptoms only versus symptoms and cognitive impairment. This suggests that these differences in outcome may be better explained by injury-related factors (e.g., severity of injury or impact).\u0000","PeriodicalId":8176,"journal":{"name":"Archives of Clinical Neuropsychology","volume":null,"pages":null},"PeriodicalIF":2.1,"publicationDate":"2024-07-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141672615","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-07-06DOI: 10.1093/arclin/acae052.13
A. Kissinger-Knox, K. Stephenson, J. Santangelo, K. Adubofour, G. L. Iverson, N. E. Cook
We conducted a narrative review and content analysis to (i) determine the extent to which research on return to learn (RTL) following sport-related concussion (SRC) has considered social determinants of health (SDoH) or health equity and (ii) provide recommendations to enhance the incorporation of SDoH and health equity into considerations of how best to support concussed students as they RTL following injury. We coded 32 studies from a systematic review focused on clinical recovery following SRC, including RTL (Putukian et al., 2023). The review informed the latest Concussion in Sport Group consensus statement (Patricios et al., 2023). We examined studies to determine whether the SDoH domains and subcategories, derived from the US Department of Health and Human Services Healthy People 2020 and 2030 websites, were addressed. Pairs of raters coded articles independently and resolved disagreements through discussion. SDoH remain largely unrepresented in studies on return to school following concussion. Future research is needed to better characterize how SDoH and health equity factors influence return to school following concussion to ensure that concussed and recovering students are supported.
{"title":"A - 13 Social Determinants of Health and Health Equity in Return to Learn Following Sport-Related Concussion","authors":"A. Kissinger-Knox, K. Stephenson, J. Santangelo, K. Adubofour, G. L. Iverson, N. E. Cook","doi":"10.1093/arclin/acae052.13","DOIUrl":"https://doi.org/10.1093/arclin/acae052.13","url":null,"abstract":"\u0000 \u0000 \u0000 We conducted a narrative review and content analysis to (i) determine the extent to which research on return to learn (RTL) following sport-related concussion (SRC) has considered social determinants of health (SDoH) or health equity and (ii) provide recommendations to enhance the incorporation of SDoH and health equity into considerations of how best to support concussed students as they RTL following injury.\u0000 \u0000 \u0000 \u0000 We coded 32 studies from a systematic review focused on clinical recovery following SRC, including RTL (Putukian et al., 2023). The review informed the latest Concussion in Sport Group consensus statement (Patricios et al., 2023). We examined studies to determine whether the SDoH domains and subcategories, derived from the US Department of Health and Human Services Healthy People 2020 and 2030 websites, were addressed. Pairs of raters coded articles independently and resolved disagreements through discussion.\u0000 \u0000 \u0000 \u0000 SDoH remain largely unrepresented in studies on return to school following concussion. Future research is needed to better characterize how SDoH and health equity factors influence return to school following concussion to ensure that concussed and recovering students are supported.\u0000","PeriodicalId":8176,"journal":{"name":"Archives of Clinical Neuropsychology","volume":null,"pages":null},"PeriodicalIF":2.1,"publicationDate":"2024-07-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141672959","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-07-06DOI: 10.1093/arclin/acae052.30
A. Datoc, J. Schaffert, N. Didehbani, H. Doggett, C. LoBue, C. Cullum
Current understanding of potential long-term negative cognitive and psychiatric outcomes following head-injury exposure is limited, and this study aimed to evaluate these relationships in former collegiate football players. Former collegiate football players completed the College Level Aging Athlete Study (CLEAATS) survey including playing career, concussion/medical/psychiatric history, self-reported cognitive functioning, and measures of depression, anxiety symptoms, positive affect/resilience, emotional dysregulation, and objective cognitive function. A head-injury exposure estimate (HIEE, modified from Kerr et al., 2015) was calculated to determine total sports-related head-injury exposure. Partial correlations (controlling for age and education) examined the relationship between HIEE and cognitive functioning and emotional/mood symptoms. Participants (n = 216) were 50–87 years old (M = 63.4 [8.5]), 91% White, and well-educated (bachelor’s or graduate degree = 92%). HIEE (M = 763.8 [342.9]) was not correlated with any cognitive or emotional/mood symptom measures (p’s > 0.075). Depression (r = 0.65), anxiety (r = 0.48), and emotional dysregulation indices (r = 0.50) showed moderate positive correlations with subjective cognitive symptoms. Grit (r = −0.36) and positive affect/well-being (r = −0.49) were negatively correlated with cognitive symptom reporting. HIEE was not found to be related to cognitive or emotional/mood outcomes, and results suggest that current emotional/mood symptoms have greater associations with subjective cognitive symptoms. Alternatively, positive affect/resilience were found to be negatively associated with cognitive symptoms, and may serve as protective factors against cognitive complaints. These findings are consistent with previous studies that have reported associations between cognitive symptoms, psychological distress, and resilience in former athletes, highlighting the importance of considering potential impact of current emotional/mood symptoms when evaluating retired players with cognitive concerns.
{"title":"A - 30 Head-Injury Exposure and Later-in-Life Cognitive and Psychiatric Outcomes among Former Collegiate Football Players","authors":"A. Datoc, J. Schaffert, N. Didehbani, H. Doggett, C. LoBue, C. Cullum","doi":"10.1093/arclin/acae052.30","DOIUrl":"https://doi.org/10.1093/arclin/acae052.30","url":null,"abstract":"\u0000 \u0000 \u0000 Current understanding of potential long-term negative cognitive and psychiatric outcomes following head-injury exposure is limited, and this study aimed to evaluate these relationships in former collegiate football players.\u0000 \u0000 \u0000 \u0000 Former collegiate football players completed the College Level Aging Athlete Study (CLEAATS) survey including playing career, concussion/medical/psychiatric history, self-reported cognitive functioning, and measures of depression, anxiety symptoms, positive affect/resilience, emotional dysregulation, and objective cognitive function. A head-injury exposure estimate (HIEE, modified from Kerr et al., 2015) was calculated to determine total sports-related head-injury exposure. Partial correlations (controlling for age and education) examined the relationship between HIEE and cognitive functioning and emotional/mood symptoms.\u0000 \u0000 \u0000 \u0000 Participants (n = 216) were 50–87 years old (M = 63.4 [8.5]), 91% White, and well-educated (bachelor’s or graduate degree = 92%). HIEE (M = 763.8 [342.9]) was not correlated with any cognitive or emotional/mood symptom measures (p’s > 0.075). Depression (r = 0.65), anxiety (r = 0.48), and emotional dysregulation indices (r = 0.50) showed moderate positive correlations with subjective cognitive symptoms. Grit (r = −0.36) and positive affect/well-being (r = −0.49) were negatively correlated with cognitive symptom reporting.\u0000 \u0000 \u0000 \u0000 HIEE was not found to be related to cognitive or emotional/mood outcomes, and results suggest that current emotional/mood symptoms have greater associations with subjective cognitive symptoms. Alternatively, positive affect/resilience were found to be negatively associated with cognitive symptoms, and may serve as protective factors against cognitive complaints. These findings are consistent with previous studies that have reported associations between cognitive symptoms, psychological distress, and resilience in former athletes, highlighting the importance of considering potential impact of current emotional/mood symptoms when evaluating retired players with cognitive concerns.\u0000","PeriodicalId":8176,"journal":{"name":"Archives of Clinical Neuropsychology","volume":null,"pages":null},"PeriodicalIF":2.1,"publicationDate":"2024-07-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141671890","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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