Aims: To investigate if associations between cannabis use and psychotic symptoms occur independently, or occur as a consequence of previous-other types of-psychopathology.
Methods: A 14-year follow-up study of 1580 initially 4- to 16-year-olds who were drawn randomly from the Dutch general population was conducted. At initial assessment, psychopathology was assessed with the Child Behavior Checklist. Across the 14-year follow-up period, cannabis use and psychotic symptoms were assessed with the Composite International Diagnostic Interview (CIDI). Because cannabis use is generally condoned in The Netherlands, false-negative reports of cannabis use may occur less frequently than in countries with stricter drug policies, which supports the value of the present study.
Results: Survival analyses indicated that the association between cannabis use and psychotic symptoms occurred independently of initial CBCL scores.
Conclusions: The link between cannabis use and psychotic symptoms is specific, and does not depend on the earlier presence of other types of psychopathology. This indicates that research aimed at unraveling mechanisms that are responsible for this specific association is useful. Further, given the fact that cannabis use seemed to be a specific risk factor for future psychotic symptoms, prevention aimed against cannabis use may prohibit the onset of psychotic symptoms in vulnerable individuals.
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http://dx.doi.org/10.1016/j.schres.2005.07.027 | DOI Listing |
Chest
January 2025
Clinical Epidemiology Program, Ottawa Hospital Research Institute, Ottawa, ON, Canada; Division of Critical Care, Department of Medicine, University of Ottawa, Ottawa, ON, Canada; Institut du Savoir Montfort, Hôpital Montfort, Ottawa, ON, Canada.
Background: Survivorship after coronavirus disease 2019 (COVID-19) critical illness may be associated with important long-term sequelae, but little is known regarding mental health outcomes.
Research Question: What is the association between COVID-19 critical illness and new post-discharge mental health diagnoses.
Study Design: AND METHODS: We conducted a population-based cohort study in Ontario, Canada (January 1, 2020-March 31, 2022).
Mol Psychiatry
January 2025
Early Psychosis: Interventions and Clinical-Detection (EPIC) Lab, Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK.
Modelling the prodrome to severe mental disorders (SMD), including unipolar mood disorders (UMD), bipolar mood disorders (BMD) and psychotic disorders (PSY), should consider both the evolution and interactions of symptoms and substance use (prodromal features) over time. Temporal network analysis can detect causal dependence between and within prodromal features by representing prodromal features as nodes, with their connections (edges) indicating the likelihood of one feature preceding the other. In SMD, node centrality could reveal insights into important prodromal features and potential intervention targets.
View Article and Find Full Text PDFTransl Psychiatry
January 2025
National Clinical Research Center for Aging and Medicine at Huashan Hospital, MOE Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence, Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, 200433, PR China.
The striatum, a core brain structure relevant for schizophrenia, exhibits heterogeneous volumetric changes in this illness. Due to this heterogeneity, its role in the risk of developing schizophrenia following exposure to environmental stress remains poorly understood. Using the putamen (a subnucleus of the striatum) as an indicator for convergent genetic risk of schizophrenia, 63 unaffected first-degree relatives of patients (22.
View Article and Find Full Text PDFJ Behav Addict
January 2025
1Department of Metabolic & Bariatric Surgery, Shanghai Jiao Tong University School of Medicine Affiliated Sixth People's Hospital, Shanghai, 200233, China.
Background: Food addiction and an impulsive personality can increase overeating, which can lead to weight gain. The amygdala and nucleus accumbens (NAcc) are critical for regulating obesogenic behaviour. However, whether the amygdala or the NAcc acts as the neural basis for the regulation of food addiction, impulsive personality, and body weight remains unclear.
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