Aims: To investigate the gender differences in the patterns of cannabis use (CU), namely frequency, times of day, social context and methods and in their association with DSM-IV cannabis dependence.
Methods: A sample of 3,904 students from German universities was recruited via an internet survey. Logistic regressions and associated areas under the ROC curve (AUC) were calculated among current cannabis users (at least once a month, n = 843).
Results: CU using a water pipe was more often reported by males (50 vs. 34.6%). Usual CU 'before going to sleep at night' was more often reported by females (47.3 vs. 35.7%). Most CU patterns showed a similar association with DSM-IV cannabis dependence in both genders. The association of CU 'with strangers' was stronger in females (AUC 0.68 vs. AUC 0.56). Slightly different multiple models were found (females AUC 0.86, males AUC 0.77).
Conclusions: There are considerable gender differences in the CU patterns and, thus, in the way CU functions. In the association of CU patterns with cannabis dependence, the similarities are rather great. Examining the CU patterns might make a considerable contribution to the better detection of high-risk population segments for prevention and early intervention in both genders.
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http://dx.doi.org/10.1159/000333338 | DOI Listing |
Brain Behav Immun Health
February 2025
Department of Health Sciences, Interdisciplinary Research Center of Autoimmune Diseases-IRCAD, University of Eastern Piedmont, 28100, Novara, Italy.
Major Depressive Disorder (MDD) is a widespread psychiatric condition impacting social and occupational functioning, making it a leading cause of disability. The diagnosis of MDD remains clinical, based on the Diagnostic and Statistical Manual of Mental Disorders (DSM)-5 criteria, as biomarkers have not yet been validated for diagnostic purposes or as predictors of treatment response. Traditional treatment strategies often follow a one-size-fits-all approach obtaining suboptimal outcomes for many patients who fail to experience response or recovery.
View Article and Find Full Text PDFBMC Psychiatry
January 2025
West China Biomedical Big Data Center, West China Hospital, Sichuan University, Chengdu, China.
The current DSM-oriented diagnostic paradigm has introduced the issue of heterogeneity, as it fails to account for the identification of the neurological processes underlying mental illnesses, which affects the precision of treatment. The Research Domain Criteria (RDoC) framework serves as a recognized approach to addressing this heterogeneity, and several assessment and translation techniques have been proposed. Among these methods, transforming RDoC scores from electronic medical records (EMR) using Natural Language Processing (NLP) has emerged as a suitable technique, demonstrating clinical effectiveness.
View Article and Find Full Text PDFJAMA Netw Open
January 2025
Laboratory of NeuroImaging, National Institute on Alcohol Abuse and Alcoholism, Bethesda, Maryland.
Importance: Cannabis use has increased globally, but its effects on brain function are not fully known, highlighting the need to better determine recent and long-term brain activation outcomes of cannabis use.
Objective: To examine the association of lifetime history of heavy cannabis use and recent cannabis use with brain activation across a range of brain functions in a large sample of young adults in the US.
Design, Setting, And Participants: This cross-sectional study used data (2017 release) from the Human Connectome Project (collected between August 2012 and 2015).
Psychol Res Behav Manag
January 2025
School of Basic Medicine, Jining Medical University, Jining, 272067, People's Republic of China.
Purpose: Stressful life events are risk factors of depression. To explore whether the avoidant personality disorder (AVPD) features play a mediating role between stressful life events (SLEs) and depression among Chinese first-year university students.
Methods: The cross-sectional study was conducted from April to October 2018.
Personal Ment Health
February 2025
Department of Addiction, School of Behavioral Sciences and Mental Health (Tehran Institute of Psychiatry), Iran University of Medical Sciences, Tehran, Iran.
Background: This study aimed to adapt and evaluate the psychometric properties of the PID5BF + M as a brief measure for assessing DSM-5 and ICD-11 personality disorder traits in Iranian drug users. The sample consisted of 380 participants, including both clinical (28.68%) and nonclinical (71.
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