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Pivac LN, Brown BM, Sewell KR, Doecke JD, Villemagne VL, Doré V, Weinborn M, Sohrabi HR, Gardener SL, Bucks RS, Laws SM, Taddei K, Maruff P, Masters CL, Rowe C, Martins RN, Rainey‐Smith SR. Suboptimal self-reported sleep efficiency and duration are associated with faster accumulation of brain amyloid beta in cognitively unimpaired older adults. Alzheimers Dement (Amst) 2024; 16:e12579. [PMID: 38651160 PMCID: PMC11033837 DOI: 10.1002/dad2.12579] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/09/2023] [Revised: 02/28/2024] [Accepted: 03/10/2024] [Indexed: 04/25/2024]
Abstract
INTRODUCTION This study investigated whether self-reported sleep quality is associated with brain amyloid beta (Aβ) accumulation. METHODS Linear mixed effect model analyses were conducted for 189 cognitively unimpaired (CU) older adults (mean ± standard deviation 74.0 ± 6.2; 53.2% female), with baseline self-reported sleep data, and positron emission tomography-determined brain Aβ measured over a minimum of three time points (range 33.3-72.7 months). Analyses included random slopes and intercepts, interaction for apolipoprotein E (APOE) ε4 allele status, and time, adjusting for sex and baseline age. RESULTS Sleep duration <6 hours, in APOE ε4 carriers, and sleep efficiency <65%, in the whole sample and APOE ε4 non-carriers, is associated with faster accumulation of brain Aβ. DISCUSSION These findings suggest a role for self-reported suboptimal sleep efficiency and duration in the accumulation of Alzheimer's disease (AD) neuropathology in CU individuals. Additionally, poor sleep efficiency represents a potential route via which individuals at lower genetic risk may progress to preclinical AD. Highlights In cognitively unimpaired older adults self-report sleep is associated with brain amyloid beta (Aβ) accumulation.Across sleep characteristics, this relationship differs by apolipoprotein E (APOE) genotype.Sleep duration <6 hours is associated with faster brain Aβ accumulation in APOE ε4 carriers.Sleep efficiency < 65% is associated with faster brain Aβ accumulation in APOE ε4 non-carriers.Personalized sleep interventions should be studied for potential to slow Aβ accumulation.
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Affiliation(s)
- Louise N. Pivac
- Centre for Healthy Ageing, Health Futures InstituteMurdoch UniversityMurdochWestern AustraliaAustralia
- Alzheimer's Research Australia, Sarich Neuroscience Research InstituteNedlandsWestern AustraliaAustralia
| | - Belinda M. Brown
- Centre for Healthy Ageing, Health Futures InstituteMurdoch UniversityMurdochWestern AustraliaAustralia
| | - Kelsey R. Sewell
- Centre for Healthy Ageing, Health Futures InstituteMurdoch UniversityMurdochWestern AustraliaAustralia
| | - James D. Doecke
- Australian E‐Health Research Centre, CSIROHerstonQueenslandAustralia
| | | | - Vincent Doré
- Australian E‐Health Research Centre, CSIROHerstonQueenslandAustralia
- Department of Molecular ImagingAustin HealthHeidelbergVictoriaAustralia
| | - Michael Weinborn
- School of Psychological ScienceUniversity of Western AustraliaPerthWestern AustraliaAustralia
| | - Hamid R. Sohrabi
- Centre for Healthy Ageing, Health Futures InstituteMurdoch UniversityMurdochWestern AustraliaAustralia
| | - Samantha L. Gardener
- School of Medical and Health SciencesEdith Cowan UniversityJoondalupWestern AustraliaAustralia
| | - Romola S. Bucks
- School of Psychological ScienceUniversity of Western AustraliaPerthWestern AustraliaAustralia
- School of Population and Global HealthUniversity of Western AustraliaPerthWestern AustraliaAustralia
| | - Simon M. Laws
- School of Medical and Health SciencesEdith Cowan UniversityJoondalupWestern AustraliaAustralia
- Centre for Precision HealthEdith Cowan UniversityJoondalupWestern AustraliaAustralia
- Collaborative Genomics and Translation GroupEdith Cowan UniversityJoondalupWestern AustraliaAustralia
- Curtin Medical SchoolCurtin UniversityBentleyWestern AustraliaAustralia
| | - Kevin Taddei
- School of Medical and Health SciencesEdith Cowan UniversityJoondalupWestern AustraliaAustralia
| | - Paul Maruff
- Cogstate Ltd., MelbourneMelbourneVictoriaAustralia
- The Florey Institute of Neuroscience and Mental HealthUniversity of MelbourneMelbourneVictoriaAustralia
| | - Colin L. Masters
- The Florey Institute of Neuroscience and Mental HealthUniversity of MelbourneMelbourneVictoriaAustralia
| | - Christopher Rowe
- Department of Molecular ImagingAustin HealthHeidelbergVictoriaAustralia
- The Florey Institute of Neuroscience and Mental HealthUniversity of MelbourneMelbourneVictoriaAustralia
| | - Ralph N. Martins
- School of Medical and Health SciencesEdith Cowan UniversityJoondalupWestern AustraliaAustralia
- Department of Biomedical SciencesMacquarie UniversityMacquarie UniversitySydneyNew South WalesAustralia
| | - Stephanie R. Rainey‐Smith
- Centre for Healthy Ageing, Health Futures InstituteMurdoch UniversityMurdochWestern AustraliaAustralia
- Alzheimer's Research Australia, Sarich Neuroscience Research InstituteNedlandsWestern AustraliaAustralia
- School of Psychological ScienceUniversity of Western AustraliaPerthWestern AustraliaAustralia
- School of Medical and Health SciencesEdith Cowan UniversityJoondalupWestern AustraliaAustralia
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Slee MG, Rainey‐Smith SR, Villemagne VL, Doecke JD, Sohrabi HR, Taddei K, Ames D, Dore V, Maruff P, Laws SM, Masters CL, Rowe CC, Martins RN, Erickson KI, Brown BM. Physical activity and brain amyloid beta: A longitudinal analysis of cognitively unimpaired older adults. Alzheimers Dement 2024; 20:1350-1359. [PMID: 37984813 PMCID: PMC10917015 DOI: 10.1002/alz.13556] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2023] [Revised: 10/13/2023] [Accepted: 10/23/2023] [Indexed: 11/22/2023]
Abstract
INTRODUCTION The current study evaluated the relationship between habitual physical activity (PA) levels and brain amyloid beta (Aβ) over 15 years in a cohort of cognitively unimpaired older adults. METHODS PA and Aβ measures were collected over multiple timepoints from 731 cognitively unimpaired older adults participating in the Australian Imaging, Biomarkers and Lifestyle (AIBL) Study of Aging. Regression modeling examined cross-sectional and longitudinal relationships between PA and brain Aβ. Moderation analyses examined apolipoprotein E (APOE) ε4 carriage impact on the PA-Aβ relationship. RESULTS PA was not associated with brain Aβ at baseline (β = -0.001, p = 0.72) or over time (β = -0.26, p = 0.24). APOE ε4 status did not moderate the PA-Aβ relationship over time (β = 0.12, p = 0.73). Brain Aβ levels did not predict PA trajectory (β = -54.26, p = 0.59). DISCUSSION Our study did not identify a relationship between habitual PA and brain Aβ levels. HIGHLIGHTS Physical activity levels did not predict brain amyloid beta (Aβ) levels over time in cognitively unimpaired older adults (≥60 years of age). Apolipoprotein E (APOE) ε4 carrier status did not moderate the physical activity-brain Aβ relationship over time. Physical activity trajectories were not impacted by brain Aβ levels.
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Affiliation(s)
- Michael G. Slee
- Centre for Healthy AgeingHealthy Futures InstituteMurdoch UniversityMurdochWestern AustraliaAustralia
| | - Stephanie R. Rainey‐Smith
- Centre for Healthy AgeingHealthy Futures InstituteMurdoch UniversityMurdochWestern AustraliaAustralia
- School of Medical and Health SciencesEdith Cowan UniversityJoondalupWestern AustraliaAustralia
- Australian Alzheimer's Research FoundationNedlandsWestern AustraliaAustralia
- School of Psychological ScienceUniversity of Western AustraliaCrawleyWestern AustraliaAustralia
| | - Victor L. Villemagne
- Department of Molecular Imaging & TherapyAustin HealthHeidelbergVictoriaAustralia
- Department of PsychiatryUniversity of PittsburghPittsburghPennsylvaniaUSA
- Centre for Precision HealthEdith Cowan UniversityJoondalupWestern AustraliaAustralia
| | - James D. Doecke
- The Australian e‐Health Research CentreCSIROHerstonQueenslandAustralia
| | - Hamid R. Sohrabi
- Centre for Healthy AgeingHealthy Futures InstituteMurdoch UniversityMurdochWestern AustraliaAustralia
- School of Medical and Health SciencesEdith Cowan UniversityJoondalupWestern AustraliaAustralia
- Australian Alzheimer's Research FoundationNedlandsWestern AustraliaAustralia
- Department of Biomedical SciencesMacquarie UniversitySydneyNew South WalesAustralia
| | - Kevin Taddei
- School of Medical and Health SciencesEdith Cowan UniversityJoondalupWestern AustraliaAustralia
- Australian Alzheimer's Research FoundationNedlandsWestern AustraliaAustralia
| | - David Ames
- The Florey Institute of Neuroscience and Mental HealthUniversity of MelbourneParkvilleVictoriaAustralia
- National Ageing Research InstituteParkvilleVictoriaAustralia
- Academic Unit for Psychiatry of Old AgeUniversity of MelbourneCarltonVictoriaAustralia
| | - Vincent Dore
- Department of Molecular Imaging & TherapyAustin HealthHeidelbergVictoriaAustralia
| | - Paul Maruff
- The Florey Institute of Neuroscience and Mental HealthUniversity of MelbourneParkvilleVictoriaAustralia
- Cogstate LtdMelbourneVictoriaAustralia
| | - Simon M. Laws
- Centre for Precision HealthEdith Cowan UniversityJoondalupWestern AustraliaAustralia
- Collaborative Genomics and Translation GroupSchool of Medical and Health SciencesEdith Cowan UniversityJoondalupWestern AustraliaAustralia
- Curtin Medical SchoolCurtin UniversityBentleyWestern AustraliaAustralia
| | - Colin L. Masters
- The Florey Institute of Neuroscience and Mental HealthUniversity of MelbourneParkvilleVictoriaAustralia
| | - Christopher C. Rowe
- Department of Molecular Imaging & TherapyAustin HealthHeidelbergVictoriaAustralia
- The Florey Institute of Neuroscience and Mental HealthUniversity of MelbourneParkvilleVictoriaAustralia
| | - Ralph N. Martins
- School of Medical and Health SciencesEdith Cowan UniversityJoondalupWestern AustraliaAustralia
- Australian Alzheimer's Research FoundationNedlandsWestern AustraliaAustralia
- Department of Biomedical SciencesMacquarie UniversitySydneyNew South WalesAustralia
| | - Kirk I. Erickson
- Department of PsychologyUniversity of PittsburghPittsburghPennsylvaniaUSA
| | - Belinda M. Brown
- Centre for Healthy AgeingHealthy Futures InstituteMurdoch UniversityMurdochWestern AustraliaAustralia
- School of Medical and Health SciencesEdith Cowan UniversityJoondalupWestern AustraliaAustralia
- Australian Alzheimer's Research FoundationNedlandsWestern AustraliaAustralia
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Aspinwall MJ, Blackman CJ, Maier C, Tjoelker MG, Rymer PD, Creek D, Chieppa J, Griffin‐Nolan RJ, Tissue DT. Aridity drives clinal patterns in leaf traits and responsiveness to precipitation in a broadly distributed Australian tree species. Plant Environ Interact 2023; 4:70-85. [PMID: 37288162 PMCID: PMC10243541 DOI: 10.1002/pei3.10102] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/02/2022] [Revised: 02/08/2023] [Accepted: 02/16/2023] [Indexed: 06/09/2023]
Abstract
Aridity shapes species distributions and plant growth and function worldwide. Yet, plant traits often show complex relationships with aridity, challenging our understanding of aridity as a driver of evolutionary adaptation. We grew nine genotypes of Eucalyptus camaldulensis subsp. camaldulensis sourced from an aridity gradient together in the field for ~650 days under low and high precipitation treatments. Eucalyptus camaldulesis is considered a phreatophyte (deep-rooted species that utilizes groundwater), so we hypothesized that genotypes from more arid environments would show lower aboveground productivity, higher leaf gas-exchange rates, and greater tolerance/avoidance of dry surface soils (indicated by lower responsiveness) than genotypes from less arid environments. Aridity predicted genotype responses to precipitation, with more arid genotypes showing lower responsiveness to reduced precipitation and dry surface conditions than less arid genotypes. Under low precipitation, genotype net photosynthesis and stomatal conductance increased with home-climate aridity. Across treatments, genotype intrinsic water-use efficiency and osmotic potential declined with increasing aridity while photosynthetic capacity (Rubisco carboxylation and RuBP regeneration) increased with aridity. The observed clinal patterns indicate that E. camaldulensis genotypes from extremely arid environments possess a unique strategy defined by lower responsiveness to dry surface soils, low water-use efficiency, and high photosynthetic capacity. This strategy could be underpinned by deep rooting and could be adaptive under arid conditions where heat avoidance is critical and water demand is high.
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Affiliation(s)
- Michael J. Aspinwall
- Hawkesbury Institute for the EnvironmentWestern Sydney UniversityPenrithNew South WalesAustralia
- College of Forestry and Wildlife SciencesAuburn UniversityAuburnAlabamaUSA
- Formation EnvironmentalLLCSacramentoCaliforniaUSA
| | - Chris J. Blackman
- Hawkesbury Institute for the EnvironmentWestern Sydney UniversityPenrithNew South WalesAustralia
- ARC Centre of Excellence for Plant Success in Nature and AgricultureSchool of Natural Sciences, University of TasmaniaHobartAustralia
| | - Chelsea Maier
- Hawkesbury Institute for the EnvironmentWestern Sydney UniversityPenrithNew South WalesAustralia
| | - Mark G. Tjoelker
- Hawkesbury Institute for the EnvironmentWestern Sydney UniversityPenrithNew South WalesAustralia
| | - Paul D. Rymer
- Hawkesbury Institute for the EnvironmentWestern Sydney UniversityPenrithNew South WalesAustralia
| | - Danielle Creek
- Hawkesbury Institute for the EnvironmentWestern Sydney UniversityPenrithNew South WalesAustralia
- Faculty of Environmental Sciences and Natural Resource ManagementNorwegian University of Life Sciences (NMBU)ÅsNorway
| | - Jeff Chieppa
- College of Forestry and Wildlife SciencesAuburn UniversityAuburnAlabamaUSA
| | | | - David T. Tissue
- Hawkesbury Institute for the EnvironmentWestern Sydney UniversityPenrithNew South WalesAustralia
- Global Centre for Land Based InnovationWestern Sydney UniversityRichmondNew South WalesAustralia
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Mascaro L, Drummond SPA, Leota J, Boardman JM, Hoffman D, Rajaratnam SMW, Aidman E, Facer-Childs ER. Cognitive fitness modulates gender differences in sleep and mental health among competitive athletes under chronic stress. Front Physiol 2023; 14:1118822. [PMID: 36969596 PMCID: PMC10031072 DOI: 10.3389/fphys.2023.1118822] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/08/2022] [Accepted: 02/23/2023] [Indexed: 03/11/2023] Open
Abstract
Objectives: Mental fitness is increasingly considered a key component of an athlete’s competitive arsenal. Active domains of mental fitness include cognitive fitness, sleep, and mental health; and these domains can differ between men and women athletes. Our study investigated the associations of cognitive fitness and gender to sleep and mental health, and the interaction between cognitive fitness and gender on sleep and mental health, in competitive athletes during the COVID-19 pandemic.Methods: 82 athletes competing at levels from regional/state to international (49% women, M-age = 23.3 years) completed measures of self-control, intolerance of uncertainty, and impulsivity (together representing constructs of cognitive fitness), items about sleep (total sleep time, sleep latency, and mid-sleep time on free days) and a measure of mental health (depression, anxiety, and stress).Results: Women athletes reported lower self-control, higher intolerance of uncertainty, and higher positive urgency impulsivity compared with men athletes. Women reported sleeping later, but this gender difference disappeared after controlling for cognitive fitness. Women athletes—after controlling for cognitive fitness—reported higher depression, anxiety, and stress. Across genders, higher self-control was associated with lower depression, and lower intolerance of uncertainty was associated with lower anxiety. Higher sensation seeking was associated with lower depression and stress, and higher premeditation was associated with greater total sleep time and anxiety. Higher perseverance was associated with higher depression for men—but not women—athletes.Conclusion: Women athletes in our sample reported poorer cognitive fitness and mental health compared to men athletes. Most cognitive fitness factors protected competitive athletes under chronic stress, but some exposed them to poorer mental health. Future work should examine the sources of gender differences. Our findings suggest a need to develop tailored interventions aimed at improving athlete wellbeing, with a particular focus on women athletes.
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Affiliation(s)
- Luis Mascaro
- Turner Institute for Brain and Mental Health, Monash University, Melbourne, VIC, Australia
- School of Psychological Sciences, Monash University, Melbourne, VIC, Australia
| | - Sean P. A. Drummond
- Turner Institute for Brain and Mental Health, Monash University, Melbourne, VIC, Australia
- School of Psychological Sciences, Monash University, Melbourne, VIC, Australia
| | - Josh Leota
- Turner Institute for Brain and Mental Health, Monash University, Melbourne, VIC, Australia
- School of Psychological Sciences, Monash University, Melbourne, VIC, Australia
| | - Johanna M. Boardman
- Turner Institute for Brain and Mental Health, Monash University, Melbourne, VIC, Australia
- School of Psychological Sciences, Monash University, Melbourne, VIC, Australia
| | - Daniel Hoffman
- Turner Institute for Brain and Mental Health, Monash University, Melbourne, VIC, Australia
- School of Psychological Sciences, Monash University, Melbourne, VIC, Australia
- St Kilda Football Club, Australian Football League, Melbourne, VIC, Australia
| | - Shantha M. W. Rajaratnam
- Turner Institute for Brain and Mental Health, Monash University, Melbourne, VIC, Australia
- School of Psychological Sciences, Monash University, Melbourne, VIC, Australia
| | - Eugene Aidman
- Defence Science & Technology Group, Edinburgh, SA, Australia
- School of Biomedical Sciences & Pharmacy, University of Newcastle, Newcastle, NSW, Australia
| | - Elise R. Facer-Childs
- Turner Institute for Brain and Mental Health, Monash University, Melbourne, VIC, Australia
- School of Psychological Sciences, Monash University, Melbourne, VIC, Australia
- St Kilda Football Club, Australian Football League, Melbourne, VIC, Australia
- Danny Frawley Centre for Health and Wellbeing, Melbourne, VIC, Australia
- *Correspondence: Elise R. Facer-Childs,
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Leota J, Hoffman D, Czeisler MÉ, Mascaro L, Drummond SP, Anderson C, Rajaratnam SM, Facer-Childs ER. Eastward Jet Lag is Associated with Impaired Performance and Game Outcome in the National Basketball Association. Front Physiol 2022; 13:892681. [PMID: 35784873 PMCID: PMC9245584 DOI: 10.3389/fphys.2022.892681] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2022] [Accepted: 05/23/2022] [Indexed: 11/24/2022] Open
Abstract
Objectives: Elite athletes are often required to travel across time zones for national and international competitions, causing frequent jet lag. The aim of this study was to examine whether the direction of travel-related jet lag is associated with performance in the National Basketball Association (NBA), and if so, to explore potential mechanisms. Methods: Ten seasons comprising of 11,481 games of NBA data from the 2011/2012 to the 2020/2021 regular season were analyzed using multi-level mixed models with one fixed factor (three levels; jet lag direction: eastward vs westward vs no jet lag) and three random factors (team, opponent, game time). Predicted circadian resynchronization rate was accounted for, and home and away games were analysed separately. Mediation analyses were performed to examine potential mechanisms. Results: Among home teams, eastward (but not westward) jet lag was associated with reduced winning (Δ (i.e., change) = −6.03%, p = 0.051, marginal), points differential (Δ = −1.29 points, p = 0.015), rebound differential (Δ = −1.29 rebounds, p < 0.0001), and effective field goal percentage differential (Δ = −1.2%, p < 0.01). As the magnitude of eastward jet lag increased, home team points differential decreased (2 h Δ = −4.53 points, p < 0.05; 1 h Δ = −0.72 points, p = 0.07). No significant associations were found between jet lag and away team performance. Conclusion: Eastward jet lag was associated with impaired performance for home (but not away) teams. Sleep and circadian disruption associated with advancing phase following eastward travel may have significant adverse consequences on performance in the NBA, particularly when recovery time is limited. Sports organisations could consider chronobiology-informed scheduling and interventions to maximise recovery and performance of their athletes.
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Affiliation(s)
- Josh Leota
- Turner Institute for Brain and Mental Health, School of Psychological Sciences, Monash University, Melbourne, VIC, Australia
| | - Daniel Hoffman
- Turner Institute for Brain and Mental Health, School of Psychological Sciences, Monash University, Melbourne, VIC, Australia
- St Kilda Football Club, Australian Football League, Melbourne, VIC, Australia
| | - Mark É. Czeisler
- Turner Institute for Brain and Mental Health, School of Psychological Sciences, Monash University, Melbourne, VIC, Australia
- Institute for Breathing and Sleep, Melbourne, VIC, Australia
- Department of Psychiatry, Brigham and Women’s Hospital, Boston, MA, United States
- Harvard Medical School, Boston, MA, United States
| | - Luis Mascaro
- Turner Institute for Brain and Mental Health, School of Psychological Sciences, Monash University, Melbourne, VIC, Australia
| | - Sean P.A. Drummond
- Turner Institute for Brain and Mental Health, School of Psychological Sciences, Monash University, Melbourne, VIC, Australia
| | - Clare Anderson
- Turner Institute for Brain and Mental Health, School of Psychological Sciences, Monash University, Melbourne, VIC, Australia
| | - Shantha M.W. Rajaratnam
- Turner Institute for Brain and Mental Health, School of Psychological Sciences, Monash University, Melbourne, VIC, Australia
- Institute for Breathing and Sleep, Melbourne, VIC, Australia
- Departments of Medicine and Neurology, Division of Sleep and Circadian Disorders, Brigham and Women’s Hospital, Boston, MA, United States
- Division of Sleep Medicine, Harvard Medical School, Boston, MA, United States
| | - Elise R. Facer-Childs
- Turner Institute for Brain and Mental Health, School of Psychological Sciences, Monash University, Melbourne, VIC, Australia
- St Kilda Football Club, Australian Football League, Melbourne, VIC, Australia
- Danny Frawley Centre for Health and Wellbeing, Moorabbin, VIC, Australia
- *Correspondence: Elise R. Facer-Childs,
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