| Autor: |
Richards VL; Department of Epidemiology, University of Florida., Wang Y; Department of Epidemiology, University of Florida., Porges EC; Center for Cognitive Aging and Memory, University of Florida., Gullett JM; Center for Cognitive Aging and Memory, University of Florida., Leeman RF; Department of Health Sciences, Bouve College of Health Sciences, Northeastern University., Zhou Z; Department of Epidemiology, University of Florida., Barnett NP; Department of Behavioral and Social Sciences, Brown University School of Public Health., Cook RL; Department of Epidemiology, University of Florida. |
| Jazyk: |
angličtina |
| Zdroj: |
Experimental and clinical psychopharmacology [Exp Clin Psychopharmacol] 2023 Dec; Vol. 31 (6), pp. 991-997. Date of Electronic Publication: 2023 Jan 16. |
| DOI: |
10.1037/pha0000637 |
| Abstrakt: |
Alcohol use can be measured in many ways, including objectively through transdermal alcohol biosensors (e.g., transdermal alcohol concentration; TAC) or blood biomarkers (e.g., phosphatidylethanol; PEth), or subjectively through self-report (e.g., with the timeline followback; TLFB). However, it is unclear which measures best indicate changes in alcohol use within individuals following intervention, and if they have concurrent validity. In the context of contingency management (CM) with a goal of 30-day abstinence ( n = 45, 60% male, 80% Black; M age = 56.7; 58% with HIV), we examined relationships among changes in TAC-AUC (area under the curve, reflecting volume consumed), PEth, and self-reported number of drinks. The Secure Continuous Remote Alcohol Monitor Continuous Alcohol Monitoring (SCRAM-CAM) biosensor was used to collect TAC-AUC during a pre-CM period (∼7 days) and over a 30-day CM period. PEth was collected at baseline and 30-day follow-up. Number of drinks was self-reported through a 30-day TLFB at baseline and follow-up. Daily TAC-AUC and number of self-reported drinks were calculated for the pre-CM period and for the last 7 days of the CM period. Linear regression models controlling for baseline values revealed that change in TAC-AUC was significantly associated with change in PEth (β = 0.33, p < .0001) and with change in number of self-reported drinks (β = 0.34, p < .0001). Change in PEth was significantly associated with change in number of self-reported drinks (β = 0.85, p < .0001). We conclude that all three measures may be appropriate for measuring within-person change in alcohol use, while controlling for baseline values, in the context of a study testing an intervention such as CM. (PsycInfo Database Record (c) 2023 APA, all rights reserved). |
| Databáze: |
MEDLINE |
| Externí odkaz: |
|
