The phenotype of recovery XI: associations of sleep quality and perceived stress with discounting and quality of life in substance use recovery.
Autor: | Yeh YH; Illinois College, Jacksonville, IL, USA., Zheng MH; Civil and Environmental Engineering Department, University of California, Los Angeles, CA, USA., Tegge AN; Fralin Biomedical Research Institute at VTC, Roanoke, VA, USA.; Department of Statistics, Virginia Tech, Blacksburg, VA, USA., Athamneh LN; Fralin Biomedical Research Institute at VTC, Roanoke, VA, USA., Freitas-Lemos R; Fralin Biomedical Research Institute at VTC, Roanoke, VA, USA., Dwyer CL; Fralin Biomedical Research Institute at VTC, Roanoke, VA, USA.; Department of Psychology, Virginia Tech, Blacksburg, VA, USA., Bickel WK; Fralin Biomedical Research Institute at VTC, Roanoke, VA, USA. wkbickel@vtc.vt.edu. |
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Jazyk: | angličtina |
Zdroj: | Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation [Qual Life Res] 2024 Jun; Vol. 33 (6), pp. 1621-1632. Date of Electronic Publication: 2024 Mar 20. |
DOI: | 10.1007/s11136-024-03625-z |
Abstrakt: | Purpose: Sleep and stress show an interdependent relationship in physiology, and both are known risk factors for relapse in substance use disorder (SUD) recovery. However, sleep and stress are often investigated independently in addiction research. In this exploratory study, the associations of sleep quality and perceived stress with delay discounting (DD), effort discounting (ED), and quality of life (QOL) were examined concomitantly to determine their role in addiction recovery. DD has been proposed as a prognostic indicator of SUD treatment response, ED is hypothesized to be relevant to the effort to overcome addiction, and QOL is an important component in addiction recovery. Method: An online sample of 118 individuals recovering from SUDs was collected through the International Quit and Recovery Registry. Exhaustive model selection, using the Bayesian Information Criterion to determine the optimal multiple linear model, was conducted to identify variables (i.e., sleep quality, perceived stress, and demographics) contributing to the total variance in DD, ED, and QOL. Results: After model selection, sleep was found to be significantly associated with DD. Stress was found to be significantly associated with psychological health, social relationships, and environment QOL. Both sleep and stress were found to be significantly associated with physical health QOL. Neither sleep nor stress was supported as an explanatory variable of ED. Conclusion: Together, these findings suggest sleep and stress contribute uniquely to the process of addiction recovery. Considering both factors when designing interventions and planning for future research is recommended. (© 2024. The Author(s).) |
Databáze: | MEDLINE |
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