Devin C. Tomlinson , Lara N. Coughlin , Kipling M. Bohnert , Mark A. Ilgen
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We performed k-means clustering to identify subgroups with similar expectancies. The relationship between subgroup assignment and cannabis use outcomes (frequency, quantity), and physical and mental health functioning were evaluated.</div></div><div><h3>Results</h3><div>The PCA identified a three-component solution and k-means clustering identified four subgroups: low expectancies, negative expectancies, amotivation expectancies, and positive expectancies. Participants’ cannabis expectancies were dynamic over time. After adjusting for demographics, expectancy subgroup was able to predict six-month cannabis use frequency (χ2(3) = 11.244; <em>p</em> = 0.010) and mental health functioning (χ2(3) = 24.926; <em>p</em> < 0.001), but not quantity (χ2(3) = 2.741, <em>p</em> = 0.433) or physical health functioning (χ2(3) = 5.110, <em>p</em> = 0.164).</div></div><div><h3>Conclusion</h3><div>In a large cohort of individuals who use medical cannabis, four subgroups with differing cannabis expectancies emerged: low expectancies, negative expectancies, amotivation expectancies, and positive expectancies. These subgroups predicted subsequent outcomes and may be important for targeted intervention approaches to reduce cannabis use and improve functioning.</div></div>","PeriodicalId":7155,"journal":{"name":"Addictive behaviors","volume":"160 ","pages":"Article 108166"},"PeriodicalIF":3.7000,"publicationDate":"2024-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Cannabis expectancies and associations with cannabis use and health functioning among adults with chronic pain\",\"authors\":\"Devin C. Tomlinson , Lara N. Coughlin , Kipling M. Bohnert , Mark A. Ilgen\",\"doi\":\"10.1016/j.addbeh.2024.108166\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><h3>Introduction</h3><div>Cannabis is increasingly available to individuals in the United States, with the majority of states legalizing medical or recreational cannabis use. Cannabis expectancies (e.g., positive expectations from cannabis use) are related to more frequent cannabis use and associated with greater odds of lapse following a cessation attempt.</div></div><div><h3>Methods</h3><div>To evaluate the relationship between expectancies and cannabis- and health-related outcomes, we surveyed adults who used medical cannabis for chronic pain (n = 633; 52.2 % female; 82.1 % white) over a two-year period. Then, we performed a principal components analysis (PCA) on the Cannabis Expectancies Questionnaire to derive components of cannabis expectancies. We performed k-means clustering to identify subgroups with similar expectancies. The relationship between subgroup assignment and cannabis use outcomes (frequency, quantity), and physical and mental health functioning were evaluated.</div></div><div><h3>Results</h3><div>The PCA identified a three-component solution and k-means clustering identified four subgroups: low expectancies, negative expectancies, amotivation expectancies, and positive expectancies. Participants’ cannabis expectancies were dynamic over time. After adjusting for demographics, expectancy subgroup was able to predict six-month cannabis use frequency (χ2(3) = 11.244; <em>p</em> = 0.010) and mental health functioning (χ2(3) = 24.926; <em>p</em> < 0.001), but not quantity (χ2(3) = 2.741, <em>p</em> = 0.433) or physical health functioning (χ2(3) = 5.110, <em>p</em> = 0.164).</div></div><div><h3>Conclusion</h3><div>In a large cohort of individuals who use medical cannabis, four subgroups with differing cannabis expectancies emerged: low expectancies, negative expectancies, amotivation expectancies, and positive expectancies. 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引用次数: 0
摘要
导言在美国,越来越多的人可以使用大麻,大多数州都将医疗或娱乐使用大麻合法化。为了评估预期与大麻和健康相关结果之间的关系,我们对两年内使用医用大麻治疗慢性疼痛的成年人(n = 633;52.2 % 为女性;82.1 % 为白人)进行了调查。然后,我们对大麻期望问卷进行了主成分分析 (PCA),以得出大麻期望的成分。我们进行了 K-均值聚类,以确定具有相似预期的亚组。我们评估了亚组分配与大麻使用结果(频率、数量)以及身心健康功能之间的关系。结果PCA确定了一个由三部分组成的解决方案,k均值聚类确定了四个亚组:低预期、消极预期、非激励预期和积极预期。参与者的大麻预期随时间变化。对人口统计学进行调整后,预期亚组能够预测六个月的大麻使用频率(χ2(3) = 11.244; p = 0.010)和心理健康功能(χ2(3) = 24.926; p < 0.001),但不能预测数量(χ2(3) = 2.741, p = 0.结论 在一大批使用医用大麻的个人中,出现了四个大麻预期不同的亚组:低预期、消极预期、非激励预期和积极预期。这些亚组预测了随后的结果,可能对减少大麻使用和改善功能的针对性干预方法非常重要。
Cannabis expectancies and associations with cannabis use and health functioning among adults with chronic pain
Introduction
Cannabis is increasingly available to individuals in the United States, with the majority of states legalizing medical or recreational cannabis use. Cannabis expectancies (e.g., positive expectations from cannabis use) are related to more frequent cannabis use and associated with greater odds of lapse following a cessation attempt.
Methods
To evaluate the relationship between expectancies and cannabis- and health-related outcomes, we surveyed adults who used medical cannabis for chronic pain (n = 633; 52.2 % female; 82.1 % white) over a two-year period. Then, we performed a principal components analysis (PCA) on the Cannabis Expectancies Questionnaire to derive components of cannabis expectancies. We performed k-means clustering to identify subgroups with similar expectancies. The relationship between subgroup assignment and cannabis use outcomes (frequency, quantity), and physical and mental health functioning were evaluated.
Results
The PCA identified a three-component solution and k-means clustering identified four subgroups: low expectancies, negative expectancies, amotivation expectancies, and positive expectancies. Participants’ cannabis expectancies were dynamic over time. After adjusting for demographics, expectancy subgroup was able to predict six-month cannabis use frequency (χ2(3) = 11.244; p = 0.010) and mental health functioning (χ2(3) = 24.926; p < 0.001), but not quantity (χ2(3) = 2.741, p = 0.433) or physical health functioning (χ2(3) = 5.110, p = 0.164).
Conclusion
In a large cohort of individuals who use medical cannabis, four subgroups with differing cannabis expectancies emerged: low expectancies, negative expectancies, amotivation expectancies, and positive expectancies. These subgroups predicted subsequent outcomes and may be important for targeted intervention approaches to reduce cannabis use and improve functioning.
期刊介绍:
Addictive Behaviors is an international peer-reviewed journal publishing high quality human research on addictive behaviors and disorders since 1975. The journal accepts submissions of full-length papers and short communications on substance-related addictions such as the abuse of alcohol, drugs and nicotine, and behavioral addictions involving gambling and technology. We primarily publish behavioral and psychosocial research but our articles span the fields of psychology, sociology, psychiatry, epidemiology, social policy, medicine, pharmacology and neuroscience. While theoretical orientations are diverse, the emphasis of the journal is primarily empirical. That is, sound experimental design combined with valid, reliable assessment and evaluation procedures are a requisite for acceptance. However, innovative and empirically oriented case studies that might encourage new lines of inquiry are accepted as well. Studies that clearly contribute to current knowledge of etiology, prevention, social policy or treatment are given priority. Scholarly commentaries on topical issues, systematic reviews, and mini reviews are encouraged. We especially welcome multimedia papers that incorporate video or audio components to better display methodology or findings.
Studies can also be submitted to Addictive Behaviors? companion title, the open access journal Addictive Behaviors Reports, which has a particular interest in ''non-traditional'', innovative and empirically-oriented research such as negative/null data papers, replication studies, case reports on novel treatments, and cross-cultural research.