Huffman M, Cloeren M, Ware OD, Frey JJ, Greenblatt AD, Mosby A, Oliver M, Imboden R, Bazell A, Clement J, Diaz-Abad M. Poor Sleep Quality and Other Risk Factors for Unemployment Among Patients on Opioid Agonist Treatment.
Subst Abuse 2022;
16:11782218221098418. [PMID:
35645566 PMCID:
PMC9130817 DOI:
10.1177/11782218221098418]
[Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2021] [Accepted: 04/17/2022] [Indexed: 12/01/2022]
Abstract
Purpose:
Patients with opioid use disorder (OUD) face high rates of unemployment,
putting them at higher risk of treatment nonadherence and poor outcomes,
including overdose death. The objective of this study was to investigate
sleep quality and its association with other biopsychosocial risk factors
for unemployment in patients receiving opioid agonist treatment (OAT) for
OUD.
Methods:
Using a cross-sectional survey design, participants from 3 OAT programs for
OUD completed questionnaires to measure sleep quality (Pittsburgh Sleep
Quality Index [PSQI]); pain disability; catastrophic thinking; injustice
experience; quality of life; and self-assessed disability. Spearman’s rank
correlation was used to test for associations between sleep quality and
other study variables.
Results:
Thirty-eight participants completed the study, with mean age
45.6 ± 10.9 years, 27 (71.1%) males, and 16 (42.1%) reporting a high school
diploma/equivalent certification as the highest level of academic
attainment. Poor sleep quality (defined as PSQI > 5) was identified in 29
participants (76.3%) and was positively correlated with pain disability
(r = 0.657, P < .01), self-assessed
disability (r = 0.640, P < .001),
symptom catastrophizing (r = 0.499,
P < .001), and injustice experience
(r = 0.642, P < .001), and negatively
correlated with quality of life (r = −0.623,
P < .001).
Conclusions:
There was a high prevalence of poor sleep quality in patients with OUD on OAT
and this was associated with multiple known risk factors for unemployment.
These findings warrant the consideration of regular screening for sleep
problems and the inclusion of sleep-related interventions to improve sleep
quality, decrease the unemployment rate, and enhance the recovery process
for individuals with OUD undergoing OAT.
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