Prevalence of and characteristics associated with insomnia and obstructive sleep apnea among veterans with knee and hip osteoarthritis

31Citations
Citations of this article
114Readers
Mendeley users who have this article in their library.

Abstract

Background: Few studies have examined patterns of specific sleep problems among individuals with osteoarthritis (OA). The primary objective of this study was to examine prevalence of symptoms of insomnia and obstructive sleep apnea (OSA) among Veterans with OA. Secondary objectives were to assess proportions of individuals with insomnia and OSA symptoms who may have been undiagnosed and to examine Veterans' characteristics associated with insomnia and OSA symptoms. Methods: Veterans (n = 300) enrolled in a clinical trial completed the Insomnia Severity Index (ISI) and the Berlin Questionnaire (BQ) at baseline; proportions of participants with symptoms consistent with insomnia and OSA were calculated, using standard cut-offs for ISI and BQ. For Veterans with insomnia and OSA symptoms, electronic medical records were searched to identify whether there was a diagnosis code for these conditions. Multivariable linear (ISI) and logistic (BQ) regression models examined associations of the following characteristics with symptoms of insomnia and OSA: age, gender, race, self-reported general health, body mass index (BMI), diagnosis of post-traumatic stress disorder (PTSD), pain severity, depressive symptoms, number of joints with arthritis symptoms and opioid use. Results: Symptoms consistent with insomnia and OSA were found in 53 and 66% of this sample, respectively. Among participants screening positive for insomnia and OSA, diagnosis codes for these disorders were present in the electronic medical record for 22 and 51%, respectively. Characteristics associated with insomnia were lower age (β (SE) = - 0.09 (0.04), 95% confidence interval [CI] = - 0.16, - 0.02), having a PTSD diagnosis (β (SE) = 1.68 (0.73), CI = 0.25, 3.11), greater pain severity (β (SE) = 0.36 (0.09), CI = 0.17, 0.55), and greater depressive symptoms (β (SE) = 0.84 (0.07), CI = 0.70, 0.98). Characteristics associated with OSA were higher BMI (odds ratio [OR] = 1.13, CI = 1.06, 1.21), greater depressive symptoms (OR = 1.12, CI = 1.05, 1.20), and opioid use (OR = 0.51, CI = 0.26, 0.99). Conclusions: Insomnia and OSA symptoms were very common in Veterans with OA, and a substantial proportion of individuals with symptoms may have been undiagnosed. Characteristics associated with insomnia and OSA symptoms were consistent with prior studies. Trial registration: NCT01130740.

References Powered by Scopus

Development of criteria for the classification and reporting of osteoarthritis: Classification of osteoarthritis of the knee

5863Citations
N/AReaders
Get full text

The PHQ-8 as a measure of current depression in the general population

3606Citations
N/AReaders
Get full text

The insomnia severity index: Psychometric indicators to detect insomnia cases and evaluate treatment response

3210Citations
N/AReaders
Get full text

Cited by Powered by Scopus

Sleep in the United States Military

120Citations
N/AReaders
Get full text

Pain Catastrophizing and Arthritis Self-Efficacy as Mediators of Sleep Disturbance and Osteoarthritis Symptom Severity

26Citations
N/AReaders
Get full text

Effect of balneotherapy on pain and fatigue in elderly with knee osteoarthritis receiving physical therapy: a randomized trial

19Citations
N/AReaders
Get full text

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Cite

CITATION STYLE

APA

Taylor, S. S., Hughes, J. M., Coffman, C. J., Jeffreys, A. S., Ulmer, C. S., Oddone, E. Z., … Allen, K. D. (2018). Prevalence of and characteristics associated with insomnia and obstructive sleep apnea among veterans with knee and hip osteoarthritis. BMC Musculoskeletal Disorders, 19(1). https://doi.org/10.1186/s12891-018-1993-y

Readers over time

‘18‘19‘20‘21‘22‘23‘2408162432

Readers' Seniority

Tooltip

PhD / Post grad / Masters / Doc 28

61%

Researcher 10

22%

Professor / Associate Prof. 7

15%

Lecturer / Post doc 1

2%

Readers' Discipline

Tooltip

Medicine and Dentistry 24

53%

Nursing and Health Professions 11

24%

Psychology 7

16%

Computer Science 3

7%

Article Metrics

Tooltip
Mentions
News Mentions: 1
Social Media
Shares, Likes & Comments: 38

Save time finding and organizing research with Mendeley

Sign up for free
0