Early, Chronic, and Acute Cannabis Exposure and Their Relationship With Cognitive and Behavioral Harms

Datos Bibliográficos

ID15519108
AutoresHugo López-Pelayo (0000-0002-3850-8374, Hospital Clínic de Barcelona), Eugènia Campeny (0000-0002-4520-2517, Consorci Institut D'Investigacions Biomediques August Pi I Sunyer, autor de correspondencia), Clara Oliveras (0000-0003-4291-8007, Hospital Clínic de Barcelona), Jurgen Rehm (0000-0001-5665-0385, University of Toronto), Jurgen Manthey (0000-0003-1231-3760, University Medical Center Hamburg-Eppendorf), Anna Gual (0000-0002-7130-981X, Hospital Clínic de Barcelona), Antoni Gual, Mercè Balcells‐Oliveró (0000-0002-6942-4675, Consorci Institut D'Investigacions Biomediques August Pi I Sunyer), Maria de las Mercedes Balcells-Olivero
Año2021
Volumen12
Páginas643556-643556
Fecha de publicación2021-08-09
Peer ReviewedSí
Open AccessSí
TipoARTICLE
RevistaFrontiers in Psychiatry (JOURNAL)
Identificadores de la revistaISSN: 1664-0640 • E-ISSN: 1664-0640
EditorialFrontiers Media (PUBLISHER • CH)
DOI10.3389/fpsyt.2021.643556
PMID34434125
OpenAlexW3188803536
IdiomaEN
Referencias citadas52

Background: Cannabis is the third most consumed drug worldwide. Thus, healthcare providers should be able to identify users who are in need for an intervention. This study aims to explore the relationship of acute, chronic, and early exposure (AE, CE, and EE) to cannabis with cognitive and behavioral harms (CBH), as a first step toward defining risky cannabis use criteria. Methods: Adults living in Spain who used cannabis at least once during the last year answered an online survey about cannabis use and health-related harms. Cannabis use was assessed in five dimensions: quantity on use days during the last 30 days (AE), frequency of use in the last month (AE), years of regular use (YRCU) (CE), age of first use (AOf) (EE), and age of onset of regular use (AOr) (EE). CBH indicators included validated instruments and custom-made items. Pearson correlations were calculated for continuous variables, and Student's t -tests for independent samples were calculated for categorical variables. Effect sizes were calculated for each of the five dimensions of use (Cohen's d or r Pearson correlation) and harm outcome. Classification and Regression Trees (CART) analyses were performed for those dependent variables (harms) significantly associated with at least two dimensions of cannabis use patterns. Lastly, logistic binary analyses were conducted for each harm outcome. Results: The mean age of participants was 26.2 years old [standard deviation (SD) 8.5]. Out of 2,124 respondents, 1,606 (75.6%) reported at least one harm outcome (mean 1.8 and SD 1.5). In our sample, using cannabis on 3 out of 4 days was associated with an 8-fold probability of scoring 4+ on the Severity Dependence Scale (OR 8.33, 95% CI 4.91-14.16, p p = 0.001). Besides, a start of regular cannabis use before the age of 18 combined with a period of regular use of at least 7.5 years was associated with a higher probability of reporting a motor vehicle accident (OR 1.81, 95% CI 1.41-2.32, p Conclusions: The relationship among AE, CE, and EE with CBH indicators is a complex phenomenon that deserves further studies. The pattern of cannabis use should be carefully and widely evaluated-(not just including frequency but also other dimensions of pattern of use)-in research (preferably in longitudinal studies) to assess cannabis-related harms

Cannabis · Harm · Harm reduction · Logistic regression · Psychiatry · Public health · Cannabis and Cannabinoid Research · Clinical Psychology · Demography · Homelessness and Social Issues · Medicine · Psychology · Social Psychology · Substance Abuse Treatment and Outcomes · Internal Medicine