| Title |
Health-related quality of life among US military personnel injured in combat: findings from the Wounded Warrior Recovery Project
|
|---|---|
| Published in |
Quality of Life Research, February 2018
|
| DOI | 10.1007/s11136-018-1806-7 |
| Pubmed ID | |
| Authors |
Susan I. Woodruff, Michael R. Galarneau, Cameron T. McCabe, Daniel I. Sack, Mary C. Clouser |
| Abstract |
Little is known about the long-term, health-related quality of life (HRQOL) of those wounded in combat during Operations Enduring Freedom, Iraqi Freedom, and New Dawn. The present study described the overall HRQOL for a large group of US service members experiencing mild-to-severe combat-related injuries, and assessed the unique contribution of demographics, service- and injury-related characteristics, and mental health factors on long-term HRQOL. The Wounded Warrior Recovery Project examines patient-reported outcomes in a cohort of US military personnel wounded in combat. Participants were identified from the Expeditionary Medical Encounter Database, a US Navy-maintained deployment health database, and invited to complete a web-based survey. At the time of this study, 3245 service members consented and completed the survey. Hierarchical linear regression analyses were conducted to assess the unique contribution of each set of antecedents on HRQOL scores. HRQOL was uniquely associated with a number of demographics, and service- and injury-related characteristics. Nevertheless, screening positive for posttraumatic stress disorder (B = - .09; P < .001), depression (B = - .10; P < .001), or both as a set (B = - .19; P < .001) were the strongest predictors of lower long-term HRQOL. Postinjury HRQOL among service members wounded in combat was associated with service and injury experience, and demographic factors, but was most strongly linked with current mental health status. These findings underscore the significance of mental health issues long after injury. Further, findings reinforce that long-term mental health screening, services, and treatment are needed for those injured in combat. |
X Demographics
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Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 56 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 56 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 8 | 14% |
| Researcher | 5 | 9% |
| Student > Ph. D. Student | 3 | 5% |
| Student > Bachelor | 2 | 4% |
| Other | 2 | 4% |
| Other | 5 | 9% |
| Unknown | 31 | 55% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 7 | 13% |
| Nursing and Health Professions | 6 | 11% |
| Social Sciences | 3 | 5% |
| Medicine and Dentistry | 2 | 4% |
| Business, Management and Accounting | 1 | 2% |
| Other | 4 | 7% |
| Unknown | 33 | 59% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 15 February 2018.
All research outputs
#18,587,406
of 23,023,224 outputs
Outputs from Quality of Life Research
#2,073
of 2,916 outputs
Outputs of similar age
#356,251
of 474,288 outputs
Outputs of similar age from Quality of Life Research
#55
of 71 outputs
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