Mirsada Serdarevic1, Vicki Osborne2, Catherine W Striley2, Linda B Cottler2. 1. University of Florida, Department of Epidemiology, College of Public Health and Health Professions, College of Medicine, 2004 Mowry Road, PO Box 100231, Gainesville, FL, US 32610. Electronic address: mserdarevic@ufl.edu. 2. University of Florida, Department of Epidemiology, College of Public Health and Health Professions, College of Medicine, 2004 Mowry Road, PO Box 100231, Gainesville, FL, US 32610.
Abstract
OBJECTIVE: The current analysis examines whether opioid use is associated with insomnia in a community sample, as the consequences of the growing epidemic of prescription opioid use continue to cause public health concern. STUDY DESIGN: A cross-sectional study including 8433 members in a community outreach program, HealthStreet, in Northeast Florida. METHODS: Community Health Workers (CHWs) assessed health information, including use of opioids (i.e., Vicodin®, Oxycodone, Codeine, Demerol®, Morphine, Percocet®, Darvon®, Hydrocodone) from community members during field outreach. Insomnia was determined based on self-report: "Have you ever been told you had, or have you ever had a problem with insomnia?" Summary descriptive statistics were calculated and logistic regression modeling was used to calculate adjusted odds ratios (ORs) with 95% confidence intervals for insomnia, by opioid use status, after adjustment for demographics and other covariates. RESULTS: Among 8433 community members recruited (41% male; 61% Black), 2115 (25%) reported insomnia, and 4200 (50.3%) reported use of opioids. After adjusting for covariates, opioid users were significantly more likely to report insomnia than non-users (adjusted OR, 1.42; 95% CI, 1.25-1.61). CONCLUSION: Insomnia was 42% more likely among those who reported using prescription opioids compared to those who did not. With one half of the sample reporting prescription opioid use, and a fourth reporting insomnia, it is important to further investigate the relationship between the two. Findings provide useful preliminary information from which to conduct further analyses.
OBJECTIVE: The current analysis examines whether opioid use is associated with insomnia in a community sample, as the consequences of the growing epidemic of prescription opioid use continue to cause public health concern. STUDY DESIGN: A cross-sectional study including 8433 members in a community outreach program, HealthStreet, in Northeast Florida. METHODS: Community Health Workers (CHWs) assessed health information, including use of opioids (i.e., Vicodin®, Oxycodone, Codeine, Demerol®, Morphine, Percocet®, Darvon®, Hydrocodone) from community members during field outreach. Insomnia was determined based on self-report: "Have you ever been told you had, or have you ever had a problem with insomnia?" Summary descriptive statistics were calculated and logistic regression modeling was used to calculate adjusted odds ratios (ORs) with 95% confidence intervals for insomnia, by opioid use status, after adjustment for demographics and other covariates. RESULTS: Among 8433 community members recruited (41% male; 61% Black), 2115 (25%) reported insomnia, and 4200 (50.3%) reported use of opioids. After adjusting for covariates, opioid users were significantly more likely to report insomnia than non-users (adjusted OR, 1.42; 95% CI, 1.25-1.61). CONCLUSION:Insomnia was 42% more likely among those who reported using prescription opioids compared to those who did not. With one half of the sample reporting prescription opioid use, and a fourth reporting insomnia, it is important to further investigate the relationship between the two. Findings provide useful preliminary information from which to conduct further analyses.
Authors: Mirsada Serdarevic; Catherine W Striley; Kelly K Gurka; Robert F Leeman; Linda B Cottler Journal: Drug Alcohol Depend Date: 2019-09-20 Impact factor: 4.492
Authors: Andrew S Tubbs; Sadia B Ghani; Michelle Naps; Michael A Grandner; Michael D Stein; Subhajit Chakravorty Journal: J Clin Sleep Med Date: 2022-03-01 Impact factor: 4.324
Authors: Linda B Cottler; Alan I Green; Harold Alan Pincus; Scott McIntosh; Jennifer L Humensky; Kathleen Brady Journal: J Clin Transl Sci Date: 2019-11-25