AI Article Synopsis

  • The prevalence of cannabis use disorder (CUD) has risen significantly due to increased legalization and accessibility, with a notable 8-18% of users qualifying for a diagnosis, leading to functional impairments.
  • Researchers developed and validated a Reasons for Quitting Smoking Cannabis Scale (RQSCS) specifically for individuals with CUD, involving psychometric testing on a sample of 133 adults during a clinical trial.
  • The RQSCS emerged as a reliable tool with a strong four-factor structure related to quitting reasons, providing valuable insights that could enhance treatment strategies and motivation for individuals looking to reduce or stop cannabis use.

Article Abstract

Background: The prevalence of cannabis use disorder (CUD) has increased in the last ten years with medicinal and recreational legalization across the United States and increasing accessibility worldwide. Estimates suggest that 8-18% of individuals who use cannabis meet diagnostic criteria for CUD, leading to significant impairments across functioning. However, there are currently no measures that assess the reasons for quitting smoking cannabis to use in treatments with validation evidence in those with CUD.

Method: We validated the Reasons for Quitting Smoking Cannabis Scale (RQSCS) in adults ( = 133) who meet the diagnostic criteria for CUD as part of a laboratory-based clinical trial on transdermal nicotine patches for cannabis withdrawal symptoms (R01DA031006). We conducted standard psychometric testing, including exploratory factor analyses, estimating internal consistencies, exploring demographic variation, and testing construct validity.

Results: The RQSCS demonstrated a four-factor structure, including: (1) cognitive health, (2) social functioning, (3) health problems, (4) reputation, and a single item that assesses experimental incentive; λs > .410), with acceptable to high internal consistencies for each subscale (αs > .725). The scale demonstrated strong construct validity and minor demographic variation. Finally, all subscales were sensitive to detecting reasons for quitting cannabis and differentially predicted cannabis use 31 days after the study.

Conclusion: The RQSCS is a psychometrically robust, timely instrument for assessing the reasons for quitting smoking cannabis in individuals with CUD. The scale has the potential to provide useful information for clinicians attempting to help those with CUD reduce or cease their cannabis use, informing individualized treatment plans and enhancing motivation for change.

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Source
http://dx.doi.org/10.1080/10826084.2024.2392508DOI Listing

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