Background: Rheumatoid arthritis (RA) patients commonly report medicinal cannabis use (MCU). Personality has been independently associated with both RA-related outcomes and MCU, but there is no information available on how they interact in RA patients. This study aimed to investigate a potential association between personality traits and MCU in RA outpatients, as well as to identify additional factors associated with its use.
Methods: This cross-sectional study was performed between June 2020 and August 2021. Consecutive RA outpatients had standardized evaluations using an interview format to collect sociodemographic information, comorbidities, risk of recreational substance use, RA-related disease activity/severity, health-related quality of life, depressive and anxiety symptoms, five personality traits, and MCU in the 12 months before the interview. Multivariable logistic regression estimated adjusted odds ratios (aOR). The study was IRB-approved.
Results: 180 patients were included; 160 (88.9%) were women with a mean age of 53.4 ± 13 years. Fifty-three (29.4%) patients reported MCU. Among them, 52 (98.1%) used topical formulations. Neuroticism had the highest overall score ([Formula: see text] = 3.47 ± 0.34). Openness to experience trait was higher in MCU patients in the comparative analysis (p = 0.007). In the multivariable regression, higher openness trait (aOR: 2.81, 95%CI: 1.11-7.10) along with moderate risk in tobacco use (aOR: 3.36, 95%CI: 1.04-10.7) and higher RA disease activity/severity (aOR: 1.10, 95%CI: 1.01-1.19) were independently associated with MCU.
Conclusions: In the current study, personality influenced the seeking of MCU for pain relief, associating dynamically with higher disease activity/severity and tobacco use. Contrary to other available information, it did not relate to psychopathology or the recreational use of cannabis. Proactive interdisciplinary clinical evaluations around MCU in RA outpatients should include personality, besides standard clinical assessments, to understand patients' motivations for its use as they may reveal important clinical information.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9836304 | PMC |
http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0280219 | PLOS |
Plant Sci
January 2025
Key Laboratory of Biology and Genetic Improvement of Horticulture Crops (Northeast Region), Ministry of Agriculture and Rural Affairs, College of Horticulture and Landscape Architecture, Northeast Agricultural University, Harbin 150030, China; College of Horticulture and Landscape Architecture, Northeast Agricultural University, Harbin 150030, China. Electronic address:
The stripe color of watermelon is a vital commercial trait and is the focus of attention of consumers and researchers. However, the genetic determinants of watermelon stripe color are incompletely understood. Based on the results of preliminary localization studies, we constructed a large-capacity F generation population (710 plants) using light-green striped ZXG1555 and green-striped Cream of Saskatchewan (COS) watermelon strains as parental lines for fine mapping.
View Article and Find Full Text PDFJ Trace Elem Med Biol
December 2024
Department of Biochemistry, Christian Medical College, Vellore, Tamil Nadu, India; Affiliated to The Tamil Nadu Dr. MGR Medical University, Chennai, India. Electronic address:
Introduction: Observational studies have found that higher iron levels are associated with an increased risk of diabetes mellitus. Given the limitations of causal inferences from observational studies and the expensive and time-consuming nature of randomized controlled trials, Mendelian randomization analysis presents a reasonable alternative to study causal relationships. Previous MR analyses studying iron levels and diabetes have used indirect markers of iron levels, such as serum ferritin, and found conflicting results.
View Article and Find Full Text PDFPsychol Rep
January 2025
Department of Business Management, National Sun Yat-Sen University, Kaohsiung, Taiwan.
This study aims to address the fragmented understanding of the antecedents of social media addiction (SMA) by examining key factors and their roles as necessary and sufficient conditions. By integrating key variables from previous research, including the Dark Triad traits, self-regulation, social anxiety, and Fear of Missing Out (FoMO), the study investigates their relationships with SMA. Data were collected through 369 questionnaires and analyzed using regression analysis and Necessary Condition Analysis (NCA).
View Article and Find Full Text PDFSci Total Environ
January 2025
Ulm University, Institute of Evolutionary Ecology and Conservation Genomics, Albert-Einstein-Allee 11, 89081 Ulm, Germany. Electronic address:
Agricultural management significantly affects insects, especially pollinators, which are crucial for crop pollination and biodiversity. In agricultural landscapes, various factors spanning different spatial scales are known to affect pollinator health, which, in turn, can influence pollination services. However, the importance of these factors in driving the health and performance of different pollinator groups remains unclear.
View Article and Find Full Text PDFJ Environ Manage
January 2025
Lhasa Plateau Ecosystem Research Station, Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, 100101, China. Electronic address:
Plant diversity is fundamental to maintaining grassland ecosystem function. Rangeland managers use fencing as a strategy to enhance plant diversity in degraded grasslands. However, the effects of this natural management approach on grasslands across a wide range of environmental gradients and its spatial pattern remain unclear.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!