| Title |
Single-Item Measures for Detecting Sleep Problems in United States Military Veterans
|
|---|---|
| Published in |
Journal of General Internal Medicine, January 2018
|
| DOI | 10.1007/s11606-017-4250-4 |
| Pubmed ID | |
| Authors |
Jaime M. Hughes, Christi S. Ulmer, Jennifer M. Gierisch, Mid-Atlantic VA MIRECC Workgroup, Matthew O. Howard |
| Abstract |
As many as two-thirds of post-9/11 military veterans complain of sleep problems, including insomnia-like symptoms. Left untreated, chronic sleep problems increase the risk for a range of negative outcomes, including incident mental health disorders. However, sleep problems remain overlooked in primary care settings. To date, no brief sleep screeners have been developed or validated. Items assessing insomnia and poor sleep are often embedded into commonly used psychological assessments, and may serve as a viable first step in screening. The objective of this study was to examine the utility of three single items (i.e., trouble falling asleep, awakening in the early morning, and sleep that is restless or disturbed) embedded into the Symptom Checklist-90-Revised (SCL) for identifying two outcomes of interest, poor sleep and probable insomnia. Data were drawn from the cross-sectional Post-Deployment Mental Health Study, hosted by the Mid-Atlantic VA Mental Illness Research, Education, and Clinical Center. Item performance was evaluated using sensitivity, specificity, and predictive value calculations, along with receiver operating characteristic (ROC) curves. Post-9/11 U.S. military veterans with one or more overseas deployments and with no current DSM Axis I mental health disorder (N = 1118). An in-person health and sleep questionnaire, including the Pittsburgh Sleep Quality Index (PSQI) and the Symptom Checklist (SCL). Using an item response of 1, all three items demonstrated moderate sensitivity (0.70-0.78) and acceptable rates of false positives and false negatives (0.23-0.48 and 0.11-0.42, respectively) in predicting both outcomes, poor sleep and probable insomnia. Our initial findings suggest that existing items in the SCL may serve as a first step in screening for sleep problems. Early detection and treatment of sleep problems might prevent or ameliorate several negative outcomes, including incident mental health disorders. |
X Demographics
The data shown below were collected from the profiles of 6 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 5 | 83% |
| Unknown | 1 | 17% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 67% |
| Science communicators (journalists, bloggers, editors) | 1 | 17% |
| Scientists | 1 | 17% |
Mendeley readers
The data shown below were compiled from readership statistics for 40 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 40 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 6 | 15% |
| Student > Bachelor | 4 | 10% |
| Researcher | 2 | 5% |
| Lecturer > Senior Lecturer | 2 | 5% |
| Student > Doctoral Student | 2 | 5% |
| Other | 7 | 18% |
| Unknown | 17 | 43% |
| Readers by discipline | Count | As % |
|---|---|---|
| Nursing and Health Professions | 4 | 10% |
| Neuroscience | 4 | 10% |
| Psychology | 3 | 8% |
| Medicine and Dentistry | 3 | 8% |
| Agricultural and Biological Sciences | 1 | 3% |
| Other | 3 | 8% |
| Unknown | 22 | 55% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 03 May 2018.
All research outputs
#7,344,673
of 23,911,072 outputs
Outputs from Journal of General Internal Medicine
#3,965
of 7,806 outputs
Outputs of similar age
#145,099
of 447,254 outputs
Outputs of similar age from Journal of General Internal Medicine
#71
of 137 outputs
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We're also able to compare this research output to 137 others from the same source and published within six weeks on either side of this one. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.