{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,18]],"date-time":"2026-06-18T15:52:33Z","timestamp":1781797953266,"version":"3.54.5"},"reference-count":38,"publisher":"American Medical Association (AMA)","issue":"6","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["JAMA Netw Open"],"abstract":"<jats:sec id=\"ab-zoi260539-4\">\n                    <jats:title>Importance<\/jats:title>\n                    <jats:p>Mild traumatic brain injury (mTBI) is associated with greater risk of musculoskeletal injury (MSKI). However, it is unclear whether mTBI is associated with risk of subsequent MSKI among US service members (SMs) with extended follow-up and whether this varies between male and female individuals.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec id=\"ab-zoi260539-5\">\n                    <jats:title>Objective<\/jats:title>\n                    <jats:p>To test the association of mTBI with subsequent MSKI in a large study population of SMs with extended follow-up.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec id=\"ab-zoi260539-6\">\n                    <jats:title>Design, Setting, and Participants<\/jats:title>\n                    <jats:p>This cohort study included SMs with mTBI and propensity score\u2013matched controls who joined between 2016 and 2020 across all branches of the US military and had medical record data until 2023. Data were analyzed from December 2024 to October 2025.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec id=\"ab-zoi260539-7\">\n                    <jats:title>Exposure<\/jats:title>\n                    <jats:p>Medical record\u2013derived mTBI.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec id=\"ab-zoi260539-8\">\n                    <jats:title>Main Outcome and Measures<\/jats:title>\n                    <jats:p>\n                      mTBIs and MSKI events were identified using\n                      <jats:italic toggle=\"yes\">International Statistical Classification of Diseases and Related Health Problems, Tenth Revision<\/jats:italic>\n                      codes. To test associations of mTBI with subsequent overall MSKI, Cox proportional hazards and Aalen additive hazards models were fit to estimate relative and absolute effect sizes, respectively. Testing was completed for moderation by sex. All models were adjusted for demographic and military-relevant characteristics.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec id=\"ab-zoi260539-9\">\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>\n                      The mean (SD) age of the 26\u202f784 participants (13\u202f392 with mTBI and 13\u202f392 controls without mTBI) was 20.0 (2.8) years, and 4585 (17.1%) were female. During 34\u202f156 person-years of follow-up, there were 14\u202f330 MSKI events. Compared with no mTBI, mTBI was associated with a greater hazard of subsequent MSKI (hazard ratio [HR], 2.24; 95% CI, 2.16-2.32). On the absolute scale, mTBI, compared with no mTBI, was associated with an additional 258 MSKI events per 100\u202f000 person-days (Aalen additive hazard\u2009=\u20092.58\u2009\u00d7\u200910\n                      <jats:sup>\u22123<\/jats:sup>\n                      ; SE, 1.17\u2009\u00d7\u200910\n                      <jats:sup>\u22126<\/jats:sup>\n                      ). Although there was no significant interaction in associations of mTBI with subsequent MSKI by sex (\n                      <jats:italic toggle=\"yes\">P<\/jats:italic>\n                      for interaction\u2009=\u2009.37), mTBI was associated with greater hazard of MSKI in models among female SMs only (HR, 2.28; 95% CI, 1.92-2.70), and in models among male SMs only (HR, 2.20; 95% CI, 2.11-2.29).\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec id=\"ab-zoi260539-10\">\n                    <jats:title>Conclusions and Relevance<\/jats:title>\n                    <jats:p>In this cohort study of US SMs, mTBI was associated with greater hazard of subsequent MSKI on the relative and absolute scales. Female SMs had a greater hazard of MSKI, but there was no significant moderation by sex for associations between mTBI and MSKI. Findings can inform patient counseling on MSKI risk following mTBI.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1001\/jamanetworkopen.2026.19409","type":"journal-article","created":{"date-parts":[[2026,6,18]],"date-time":"2026-06-18T15:00:20Z","timestamp":1781794820000},"page":"e2619409","source":"Crossref","is-referenced-by-count":0,"title":["Mild Traumatic Brain Injury and Subsequent Musculoskeletal Injury in US Service Members"],"prefix":"10.1001","volume":"9","author":[{"given":"Alexander Ivan B.","family":"Posis","sequence":"first","affiliation":[{"name":"Warfighter Performance Department, Naval Health Research Center, San Diego, California"},{"name":"Military and Veterans Health Solutions, Leidos, Inc, San Diego, California"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Amy","family":"Silder","sequence":"additional","affiliation":[{"name":"Warfighter Performance Department, Naval Health Research Center, San Diego, California"},{"name":"Uniformed Services University of the Health Sciences, School of Medicine, Department of Physical Medicine and Rehabilitation, Bethesda, Maryland"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"James M.","family":"Zouris","sequence":"additional","affiliation":[{"name":"Epidemiology and Data Management Support Department, Naval Health Research Center, San Diego, California"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Andrew J.","family":"MacGregor","sequence":"additional","affiliation":[{"name":"Epidemiology and Data Management Support Department, Naval Health Research Center, San Diego, California"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"John J.","family":"Fraser","sequence":"additional","affiliation":[{"name":"Warfighter Performance Department, Naval Health Research Center, San Diego, California"},{"name":"Uniformed Services University of the Health Sciences, School of Medicine, Department of Physical Medicine and Rehabilitation, Bethesda, Maryland"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Daniel J.","family":"Crouch","sequence":"additional","affiliation":[{"name":"Operational Infectious Diseases Department, Naval Health Research Center, San Diego, California"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Pinata H.","family":"Sessoms","sequence":"additional","affiliation":[{"name":"Warfighter Performance Department, Naval Health Research Center, San Diego, California"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"10","published-online":{"date-parts":[[2026,6,18]]},"reference":[{"issue":"9-10","key":"zoi260539r1","doi-asserted-by":"publisher","first-page":"e1461","DOI":"10.1093\/milmed\/usaa027","article-title":"Musculoskeletal injuries and United States Army readiness, part I: overview of injuries and their strategic impact.","volume":"185","author":"Molloy","year":"2020","journal-title":"Mil Med"},{"issue":"6","key":"zoi260539r3","first-page":"2","article-title":"Absolute and relative morbidity burdens attributable to various illnesses and injuries among active component members of the U.S. Armed Forces, 2023.","volume":"31","author":"Armed Forces Health Surveillance Division","year":"2024","journal-title":"MSMR"},{"issue":"3","key":"zoi260539r4","doi-asserted-by":"publisher","first-page":"84","DOI":"10.1097\/JSA.0000000000000246","article-title":"Combat and noncombat musculoskeletal injuries in the US military.","volume":"27","author":"Grimm","year":"2019","journal-title":"Sports Med Arthrosc Rev"},{"key":"zoi260539r5","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1093\/milmed\/usae357","article-title":"Burden of musculoskeletal injuries in U.S. active duty service members: a 12-year study spanning fiscal years 2010-2021.","volume":"189","author":"Pav","year":"2024","journal-title":"Mil Med"},{"issue":"3","key":"zoi260539r6","doi-asserted-by":"publisher","first-page":"33","DOI":"10.1016\/S0749-3797(00)00107-0","article-title":"Disabilities due to injury in the military.","volume":"18","author":"Songer","year":"2000","journal-title":"Am J Prev Med"},{"key":"zoi260539r7","doi-asserted-by":"publisher","first-page":"10","DOI":"10.1093\/milmed\/usae308","article-title":"Musculoskeletal injuries in female U.S. active duty service members: prevalence\/incidence, health care utilization, and cost analysis spanning fiscal years 2016-2021.","volume":"189","author":"Colahan","year":"2024","journal-title":"Mil Med"},{"issue":"7","key":"zoi260539r8","doi-asserted-by":"publisher","first-page":"1754","DOI":"10.1177\/0363546518785901","article-title":"Musculoskeletal injury risk after sport-related concussion: a systematic review and meta-analysis.","volume":"47","author":"McPherson","year":"2019","journal-title":"Am J Sports Med"},{"key":"zoi260539r9","doi-asserted-by":"publisher","first-page":"173","DOI":"10.1016\/j.msksp.2019.04.004","article-title":"History of concussion and risk of subsequent injury in athletes and service members: a systematic review and meta-analysis.","volume":"42","author":"Reneker","year":"2019","journal-title":"Musculoskelet Sci Pract"},{"key":"zoi260539r11","doi-asserted-by":"publisher","DOI":"10.1016\/j.msksp.2024.103219","article-title":"The state of the science for potential contributors to musculoskeletal injury following concussion: echanisms, gaps, and clinical considerations.","volume":"75","author":"Lempke","year":"2025","journal-title":"Musculoskelet Sci Pract"},{"issue":"4","key":"zoi260539r12","doi-asserted-by":"publisher","first-page":"389","DOI":"10.1080\/13803395.2023.2245107","article-title":"Decision-making abilities under risk and ambiguity in adults with traumatic brain injury: what do we know so far? a systematic review and meta-analysis.","volume":"45","author":"Fusi","year":"2023","journal-title":"J Clin Exp Neuropsychol"},{"issue":"11","key":"zoi260539r13","doi-asserted-by":"publisher","first-page":"3692","DOI":"10.1016\/j.injury.2022.09.031","article-title":"The Neuromusculoskeletal Epidemiological Outcome (NEO) matrix: an innovative injury classification based on anatomical location and primary tissue type.","volume":"53","author":"Fraser","year":"2022","journal-title":"Injury"},{"issue":"2","key":"zoi260539r14","doi-asserted-by":"publisher","first-page":"323","DOI":"10.1016\/j.pmr.2016.12.008","article-title":"Unique aspects of traumatic brain injury in military and veteran populations.","volume":"28","author":"Armistead-Jehle","year":"2017","journal-title":"Phys Med Rehabil Clin N Am"},{"issue":"11","key":"zoi260539r15","doi-asserted-by":"publisher","first-page":"1353","DOI":"10.1080\/02699052.2018.1512718","article-title":"Sex and number of concussions influence the association between concussion and musculoskeletal injury history in collegiate athletes.","volume":"32","author":"Houston","year":"2018","journal-title":"Brain Inj"},{"issue":"22","key":"zoi260539r16","doi-asserted-by":"publisher","first-page":"3063","DOI":"10.1089\/neu.2018.6171","article-title":"Sex differences in traumatic brain injury: what we know and what we should know.","volume":"36","author":"Gupte","year":"2019","journal-title":"J Neurotrauma"},{"key":"zoi260539r17","doi-asserted-by":"publisher","first-page":"S3","DOI":"10.1016\/j.jsams.2017.09.014","article-title":"Mitigating the risk of musculoskeletal injury: a systematic review of the most effective injury prevention strategies for military personnel.","volume":"20","author":"Wardle","year":"2017","journal-title":"J Sci Med Sport"},{"issue":"6","key":"zoi260539r19","doi-asserted-by":"publisher","first-page":"535","DOI":"10.1136\/bmjmilitary-2021-002059","article-title":"Sex, military occupation and rank are associated with risk of anterior cruciate ligament injury in tactical-athletes.","volume":"169","author":"Aguero","year":"2023","journal-title":"BMJ Mil Health"},{"issue":"2","key":"zoi260539r20","doi-asserted-by":"publisher","first-page":"150","DOI":"10.1002\/pst.433","article-title":"Optimal caliper widths for propensity-score matching when estimating differences in means and differences in proportions in observational studies.","volume":"10","author":"Austin","year":"2011","journal-title":"Pharm Stat"},{"issue":"25","key":"zoi260539r21","doi-asserted-by":"publisher","first-page":"3083","DOI":"10.1002\/sim.3697","article-title":"Balance diagnostics for comparing the distribution of baseline covariates between treatment groups in propensity-score matched samples.","volume":"28","author":"Austin","year":"2009","journal-title":"Stat Med"},{"issue":"2","key":"zoi260539r23","doi-asserted-by":"publisher","first-page":"91","DOI":"10.1136\/ip.8.2.91","article-title":"An introduction to the Barell body region by nature of injury diagnosis matrix.","volume":"8","author":"Barell","year":"2002","journal-title":"Inj Prev"},{"issue":"7","key":"zoi260539r24","doi-asserted-by":"publisher","first-page":"121","DOI":"10.21037\/atm.2018.02.12","article-title":"Time-varying covariates and coefficients in Cox regression models.","volume":"6","author":"Zhang","year":"2018","journal-title":"Ann Transl Med"},{"issue":"16","key":"zoi260539r25","doi-asserted-by":"publisher","first-page":"2837","DOI":"10.1002\/sim.5705","article-title":"The performance of different propensity score methods for estimating marginal hazard ratios.","volume":"32","author":"Austin","year":"2013","journal-title":"Stat Med"},{"key":"zoi260539r26","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1016\/j.annepidem.2018.09.007","article-title":"How do we assess a racial disparity in health? Distribution, interaction, and interpretation in epidemiological studies.","volume":"29","author":"Ward","year":"2019","journal-title":"Ann Epidemiol"},{"issue":"1","key":"zoi260539r30","doi-asserted-by":"publisher","first-page":"22","DOI":"10.1097\/CPT.0000000000000129","article-title":"Physical therapy as a force multiplier: population health perspectives to address short-term readiness and long-term health of military service members.","volume":"31","author":"Fraser","year":"2020","journal-title":"Cardiopulm Phys Ther J"},{"issue":"5-6","key":"zoi260539r31","doi-asserted-by":"publisher","first-page":"e431","DOI":"10.1093\/milmed\/usy414","article-title":"Surveyed reasons for not seeking medical care regarding musculoskeletal injury symptoms in US Army trainees.","volume":"184","author":"Cohen","year":"2019","journal-title":"Mil Med"},{"issue":"5","key":"zoi260539r32","doi-asserted-by":"publisher","first-page":"488","DOI":"10.4085\/1062-6050-185-19","article-title":"Single-legged hop and single-legged squat balance performance in recreational athletes with a history of concussion.","volume":"55","author":"Lynall","year":"2020","journal-title":"J Athl Train"},{"issue":"1","key":"zoi260539r33","first-page":"71","article-title":"The sensorimotor system, part I: the physiologic basis of functional joint stability.","volume":"37","author":"Riemann","year":"2002","journal-title":"J Athl Train"},{"issue":"5","key":"zoi260539r34","doi-asserted-by":"publisher","first-page":"1097","DOI":"10.1007\/s40279-018-0871-y","article-title":"Neuromuscular control deficits and the risk of subsequent injury after a concussion: a scoping review.","volume":"48","author":"Howell","year":"2018","journal-title":"Sports Med"},{"key":"zoi260539r35","doi-asserted-by":"publisher","DOI":"10.3389\/fneur.2020.541630","article-title":"The effects of mild traumatic brain injury on cognitive-motor integration for skilled performance.","volume":"11","author":"Sergio","year":"2020","journal-title":"Front Neurol"},{"issue":"12","key":"zoi260539r36","doi-asserted-by":"publisher","first-page":"160","DOI":"10.3390\/brainsci7120160","article-title":"A review of chronic pain and cognitive, mood, and motor dysfunction following mild traumatic brain injury: complex, comorbid, and\/or overlapping conditions?","volume":"7","author":"Grandhi","year":"2017","journal-title":"Brain Sci"},{"issue":"6","key":"zoi260539r37","doi-asserted-by":"publisher","first-page":"579","DOI":"10.1016\/j.jaclp.2022.05.004","article-title":"Behavioral and emotional dyscontrol following traumatic brain injury: a systematic review of neuroimaging and electrophysical correlates.","volume":"63","author":"Bryant","year":"2022","journal-title":"J Acad Consult Liaison Psychiatry"},{"issue":"7","key":"zoi260539r38","doi-asserted-by":"publisher","first-page":"1971","DOI":"10.1007\/s11136-023-03367-4","article-title":"Deployment-related concussion and long-term health-related quality of life among US military personnel.","volume":"32","author":"MacGregor","year":"2023","journal-title":"Qual Life Res"},{"key":"zoi260539r29","author":"Nguyen","year":"2021"},{"key":"zoi260539r2","unstructured":"Defense Health Agency. 2022 Health of the Force report. 2023. Accessed May 5, 2025. https:\/\/ph.health.mil\/Periodical%20Library\/2022-hof-report-web.pdf"},{"key":"zoi260539r10","unstructured":"Traumatic Brain Injury Center of Excellence. DOD TBI worldwide numbers. 2024. Accessed August 26, 2024. https:\/\/health.mil\/Military-Health-Topics\/Centers-of-Excellence\/Traumatic-Brain-Injury-Center-of-Excellence\/DOD-TBI-Worldwide-Numbers?type=Articles"},{"key":"zoi260539r18","unstructured":"Patten? E, Parker? K. Women in the U.S. military: growing share, distinctive profile. Pew Research Center; 2024. Accessed November 15, 2024. https:\/\/www.pewresearch.org\/social-trends\/2011\/12\/22\/women-in-the-u-s-military-growing-share-distinctive-profile\/"},{"key":"zoi260539r22","unstructured":"Armed Forces Health Surveillance Division. Surveillance case definitions. 2024. Accessed October 22, 2024. https:\/\/health.mil\/Military-Health-Topics\/Health-Readiness\/Public-Health\/AFHSD\/Epidemiology-and-Analysis\/Surveillance-Case-Definitions"},{"key":"zoi260539r27","unstructured":"Greifer? N. cobalt: Covariate balance tables and plots. R Project for Statistical Computing. 2025. Accessed November 13, 2025. https:\/\/CRAN.R-project.org\/package=cobalt"},{"key":"zoi260539r28","unstructured":"Therneau? TM. A package for survival analysis in R. R Project for Statistical Computing. 2024. Accessed November 13, 2025. https:\/\/cran.r-project.org\/web\/packages\/survival\/index.html"}],"container-title":["JAMA Network Open"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/jamanetwork.com\/journals\/jamanetworkopen\/articlepdf\/2850493\/posis_2026_oi_260539_1781126682.10829.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,6,18]],"date-time":"2026-06-18T15:00:27Z","timestamp":1781794827000},"score":1,"resource":{"primary":{"URL":"https:\/\/jamanetwork.com\/journals\/jamanetworkopen\/fullarticle\/2850493"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,6,18]]},"references-count":38,"journal-issue":{"issue":"6","published-print":{"date-parts":[[2026,6,1]]}},"URL":"https:\/\/doi.org\/10.1001\/jamanetworkopen.2026.19409","relation":{},"ISSN":["2574-3805"],"issn-type":[{"value":"2574-3805","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,6,18]]}}}