TY - JOUR
PY - 2023//
TI - Alcohol, cannabis, and nicotine use have distinct associations with COVID-19 pandemic-related experiences: an exploratory Bayesian network analysis across two timepoints
JO - Drug and alcohol dependence
A1 - Papini, Santiago
A1 - López-Castro, Teresa
A1 - Swarbrick, Margaret
A1 - Paul, Lynn K.
A1 - Stanley, Damian
A1 - Bauer, Alexandria
A1 - Hien, Denise A.
SP - e109929
EP - e109929
VL - 248
IS -
N2 - BACKGROUND: Substance use trends during the COVID-19 pandemic have been extensively documented. However, relatively less is known about the associations between pandemic-related experiences and substance use.
METHOD: In July 2020 and January 2021, a broad U.S. community sample (N = 1123) completed online assessments of past month alcohol, cannabis, and nicotine use and the 92-item Epidemic-Pandemic Impacts Inventory, a multidimensional measure of pandemic-related experiences. We examined links between substance use frequency, and pandemic impact on emotional, physical, economic, and other key domains, using Bayesian Gaussian graphical networks in which edges represent significant associations between variables (referred to as nodes). Bayesian network comparison approaches were used to assess the evidence of stability (or change) in associations between the two timepoints.
RESULTS: After controlling for all other nodes in the network, multiple significant edges connecting substance use nodes and pandemic-experience nodes were observed across both time points, including positive- (r range 0.07-0.23) and negative-associations (r range -0.25 to -0.11). Alcohol was positively associated with social and emotional pandemic impacts and negatively associated with economic impacts. Nicotine was positively associated with economic impact and negatively associated with social impact. Cannabis was positively associated with emotional impact. Network comparison suggested these associations were stable across the two timepoints.
CONCLUSION: Alcohol, nicotine, and cannabis use had unique associations to a few specific domains among a broad range of pandemic-related experiences. Given the cross-sectional nature of these analyses with observational data, further investigation is needed to identify potential causal links.
Language: en
LA - en SN - 0376-8716 UR - http://dx.doi.org/10.1016/j.drugalcdep.2023.109929 ID - ref1 ER -