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Background: Cannabis legalization in Colorado resulted in increased cannabis-associated health care utilization. Our objective was to examine cooccurrence of cannabis and mental health diagnostic coding in Colorado emergency department (ED) discharges and replicate the study in a subpopulation of ED visits where cannabis involvement and psychiatric diagnosis were confirmed through medical review.
Methods: We collected statewide ED International Classification of Diseases, 9th Revision, Clinical Modification diagnoses from the Colorado Hospital Association and a subpopulation of ED visits from a large, academic hospital from 2012 to 2014. Diagnosis codes identified visits associated with mental health and cannabis. Codes for mental health conditions and cannabis were confirmed by manual records review in the academic hospital subpopulation. Prevalence ratios (PRs) of mental health ED discharges were calculated to compare cannabis-associated visits to those without cannabis. Rates of mental health and cannabis-associated ED discharges were examined over time.
Results: Statewide data demonstrated a fivefold higher prevalence of mental health diagnoses in cannabis-associated ED visits (PR = 5.35, 95% confidence interval [CI], 5.27-5.43) compared to visits without cannabis. The hospital subpopulation supported this finding with a fourfold higher prevalence of psychiatric complaints in cannabis attributable ED visits (PR = 4.87, 95% CI = 4.36-5.44) compared to visits not attributable to cannabis. Statewide rates of ED visits associated with both cannabis and mental health significantly increased from 2012 to 2014 from 224.5 to 268.4 per 100,000 (p < 0.0001).
Conclusions: In Colorado, the prevalence of mental health conditions in ED visits with cannabis-associated diagnostic codes is higher than in those without cannabis. There is a need for further research determining if these findings are truly attributed to cannabis or merely coincident with concurrent increased use and availability.
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http://dx.doi.org/10.1111/acem.13393 | DOI Listing |
Amyotroph Lateral Scler Frontotemporal Degener
September 2025
Faculdade de Medicina, Centro de Estudos Egas Moniz, Universidade de Lisboa, Lisboa, Portugal.
This study aimed to derive standardized regression-based (SRB) reliable change indices (RCIs) for the cognitive section of the Portuguese Edinburgh Cognitive and Behavioral ALS Screen (ECAS-C). Forty-nine MND patients undergoing the ECAS were followed-up (T1) at 7.2 ± 2 months (range = 5-12).
View Article and Find Full Text PDFNpj Ment Health Res
September 2025
Department of Psychiatry and Psychotherapy, Charité - Universitätsmedizin Berlin (Campus Charité Mitte), Berlin, Germany.
Loneliness is a growing global health issue, yet real-time assessments of its objective risk and protective factors are limited. This study identifies momentary and daily predictors using digital phenotyping and temporal analysis. Analyzing 12788 momentary observations from social mobile sensing and actigraphy, we examined how they impact loneliness on average (between-person) and in daily fluctuations (within-person).
View Article and Find Full Text PDFQual Life Res
September 2025
Department of Physical Therapy, Rady Faculty of Health Sciences, College of Rehabilitation Sciences, University of Manitoba, Winnipeg, MB, Canada.
Purpose: The purpose was to identify how the ICECAP-A and ICECAP-O have been used with adults who have neurological health conditions.
Methods: Following the Joanna Briggs Institute framework, a scoping review was conducted, searching five databases (Scopus, CINAHL, MEDLINE, Embase, and PsycINFO). Studies were included if participants were adults (age 18+ years) with neurological health conditions, and ICECAP-A or ICECAP-O were used in the study.
Mol Psychiatry
September 2025
Department of Child and Adolescent Psychiatry and Psychology, Erasmus MC University Medical Center Rotterdam, Rotterdam, the Netherlands.
Epigenetic processes, such as DNA methylation, show potential as biological markers and mechanisms underlying gene-environment interplay in the prediction of mental health and other brain-based phenotypes. However, little is known about how peripheral epigenetic patterns relate to individual differences in the brain itself. An increasingly popular approach to address this is by combining epigenetic and neuroimaging data; yet, research in this area is almost entirely comprised of cross-sectional studies in adults.
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