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Increased Risk for Clinically Significant Sleep Disturbances in Mild Traumatic Brain Injury: An Approach to Leveraging the Federal Interagency Traumatic Brain Injury Research Database
被引:0
|作者:
O'Neil, Maya E.
[1
,2
,3
]
Krushnic, Danielle
[1
,2
]
Walker, William C.
[4
,5
]
Cameron, David
[1
,2
]
Baker-Robinson, William
[1
,2
]
Hannon, Sara
[1
]
Clauss, Kate
[1
,2
]
Cheney, Tamara P.
[1
,2
]
Cook, Lawrence J.
[6
]
Niederhausen, Meike
[1
,7
]
Kaplan, Josh
[8
]
Pappas, Miranda
[9
]
Martin, Aaron M.
[10
,11
]
机构:
[1] Portland VA Hlth Care Syst, HSR Ctr Improve Vet Involvement Care CIVIC, Portland, OR 97239 USA
[2] Oregon Hlth & Sci Univ, Dept Clin Psychiat, Portland, OR 97239 USA
[3] Oregon Hlth & Sci Univ, Dept Med Informat & Clin Epidemiol, Portland, OR 97239 USA
[4] Virginia Commonwealth Univ, Sch Med, Dept Phys Med & Rehabil PM&R, Richmond, VA 23298 USA
[5] Richmond Vet Affairs VA Med Ctr, Cent Virginia VA Hlth Care Syst, Richmond, VA 23249 USA
[6] Univ Utah, Sch Med, Dept Pediat, Salt Lake City, UT 84112 USA
[7] Oregon Hlth & Sci Univ, OHSU PSU Sch Publ Hlth, Portland, OR 97239 USA
[8] Oregon Hlth & Sci Univ, Dept Neurol, Portland, OR 97239 USA
[9] Oregon Hlth & Sci Univ, Pacific Northwest Evidence Based Practice Ctr, Portland, OR 97239 USA
[10] James A Haley Vet Hosp, Mental Hlth & Behav Sci Serv, Tampa, FL 33612 USA
[11] Univ S Florida, Dept Psychiat & Behav Neurosci, Tampa, FL 33612 USA
关键词:
traumatic brain injury;
sleep disturbance;
insomnia;
evidence synthesis;
data repository;
meta-data;
INDIVIDUAL PARTICIPANT DATA;
SUICIDE ATTEMPT;
QUALITY INDEX;
QUESTIONNAIRE;
METAANALYSIS;
PREDICTORS;
DISORDERS;
UTILITY;
HEALTH;
IMPACT;
D O I:
10.3390/brainsci14090921
中图分类号:
Q189 [神经科学];
学科分类号:
071006 ;
摘要:
Study Objectives: The Federal Interagency Traumatic Brain Injury Research (FITBIR) Informatics System contains individual-patient-level traumatic brain injury (TBI) data, which when combined, allows for the examination of rates and outcomes for key subpopulations at risk for developing sleep disturbance. Methods: This proof-of-concept study creates a model system for harmonizing data (i.e., combining and standardizing data) across FITBIR studies for participants with and without a history of TBI to estimate rates of sleep disturbance and identify risk factors. Results: Three studies were eligible for harmonization (N = 1753). Sleep disturbance was common among those with a history of mild TBI (63%). Individuals with mild TBI were two to four times more likely to have sleep disturbance compared to those with no history of TBI. Conclusions: This study established methods, harmonization code, and meta-databases that are publicly available on the FITBIR website. We demonstrated how the harmonization of FITBIR studies can answer TBI research questions, showing that associations between TBI and sleep disturbance may be influenced by demographic factors.
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