James Krause to Southeastern United States
This is a "connection" page, showing publications James Krause has written about Southeastern United States.
Connection Strength
2.178
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Barriers and Facilitators to Employment: A Comparison of Participants With Multiple Sclerosis and Spinal Cord Injury. Arch Phys Med Rehabil. 2021 08; 102(8):1556-1561.
Score: 0.172
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Twenty-Five-Year Cross-sequential Analysis of Self-reported Problems: Findings From 5 Cohorts From the Spinal Cord Injury Longitudinal Aging Study. Arch Phys Med Rehabil. 2021 05; 102(5):888-894.
Score: 0.170
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Estimation of indirect costs based on employment and earnings changes after spinal cord injury: an observational study. Spinal Cord. 2020 Aug; 58(8):908-913.
Score: 0.161
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Employment status, hours working, and gainful earnings after spinal cord injury: relationship with pain, prescription medications for pain, and nonprescription opioid use. Spinal Cord. 2020 Mar; 58(3):275-283.
Score: 0.157
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Employment and Job Benefits Among Those With Spinal Cord Dysfunction: A Comparison of People With Spinal Cord Injury and Multiple Sclerosis. Arch Phys Med Rehabil. 2019 10; 100(10):1932-1938.
Score: 0.153
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Personality, High-Risk Behaviors, and Elevated Risk of Unintentional Deaths Related to Drug Poisoning Among Individuals With Spinal Cord Injury. Arch Phys Med Rehabil. 2018 10; 99(10):1941-1948.
Score: 0.143
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A latent structural analysis of health behaviors among people living with spinal cord injury. Spinal Cord. 2018 03; 56(3):265-273.
Score: 0.137
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A latent structural equation model of protective behaviors and pressure ulcer outcomes among people living with spinal cord injury. Spinal Cord. 2017 Feb; 55(2):135-140.
Score: 0.128
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Racial-ethnic variations in paid and unpaid caregiving: Findings among persons with traumatic spinal cord injury. Disabil Health J. 2015 Oct; 8(4):527-34.
Score: 0.115
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Race-ethnicity and poverty after spinal cord injury. Spinal Cord. 2014 Feb; 52(2):133-8.
Score: 0.104
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Socioeconomic and behavioral risk factors for mortality: do risk factors observed after spinal cord injury parallel those from the general USA population? Spinal Cord. 2012 Aug; 50(8):609-13.
Score: 0.092
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Prediction of postinjury employment and percentage of time worked after spinal cord injury. Arch Phys Med Rehabil. 2012 Feb; 93(2):373-5.
Score: 0.092
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The relationship between prescription medication use and ability to ambulate distances after spinal cord injury. Arch Phys Med Rehabil. 2011 Aug; 92(8):1246-9.
Score: 0.089
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Psychologic factors and risk of mortality after spinal cord injury. Arch Phys Med Rehabil. 2009 Apr; 90(4):628-33.
Score: 0.075
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Earnings among people with spinal cord injury. Arch Phys Med Rehabil. 2008 Aug; 89(8):1474-81.
Score: 0.072
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A prospective study of health and risk of mortality after spinal cord injury. Arch Phys Med Rehabil. 2008 Aug; 89(8):1482-91.
Score: 0.072
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Factors associated with risk for subsequent injuries after traumatic spinal cord injury. Arch Phys Med Rehabil. 2004 Sep; 85(9):1503-8.
Score: 0.055
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Patterns of recurrent pressure ulcers after spinal cord injury: identification of risk and protective factors 5 or more years after onset. Arch Phys Med Rehabil. 2004 Aug; 85(8):1257-64.
Score: 0.055
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Dimensions of subjective well-being after spinal cord injury: an empirical analysis by gender and race/ethnicity. Arch Phys Med Rehabil. 1998 Aug; 79(8):900-9.
Score: 0.036
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Employment after spinal cord injury: differences related to geographic region, gender, and race. Arch Phys Med Rehabil. 1998 Jun; 79(6):615-24.
Score: 0.036
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Risk behaviors related to cigarette smoking among persons with spinal cord injury. Nicotine Tob Res. 2014 Feb; 16(2):224-30.
Score: 0.026
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The relationship of pressure ulcers, race, and socioeconomic conditions after spinal cord injury. J Spinal Cord Med. 2010; 33(4):387-95.
Score: 0.020
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Delayed entry into employment after spinal cord injury: factors related to time to first job. Spinal Cord. 2010 Jun; 48(6):487-91.
Score: 0.020