Cross-Addiction Risk Profile Associations with COVID-19 Anxiety: a Preliminary Exploratory Study
- PMID: 35818622
- PMCID: PMC9261223
- DOI: 10.1007/s11469-022-00862-6
Cross-Addiction Risk Profile Associations with COVID-19 Anxiety: a Preliminary Exploratory Study
Abstract
"Cross-addiction" involves a person substituting one form of addictive behaviour for another. Indeed, cross-additive presentations have been frequently described (e.g. from drugs to alcohol, gambling to sex), and risk profiles have been assumed. Nevertheless, there has been a dearth of evidence considering the occurrence of cross-addiction risk profiles in the community. This research is imperative for informing effective prevention/intervention policies, especially under anxiety-provoking conditions, such as the current coronavirus pandemic. To address this need, a cross-sectional exploratory research design was utilized, with quantitative survey data obtained from 968 respondents (18-64; M age = 29.5 years, SD = 9.36), who completed an online survey regarding a range of addictive behaviours (i.e. abuse of alcohol, drug, smoking, online gaming, shopping, internet, exercise, online gambling, sex, and social media) and their anxiety about the coronavirus. Latent class/profiling analyses were implemented to (a) explore profiles of cross-addiction risk, (b) describe the characteristics and the proportions of these profiles, and (c) identify their differential associations with the pandemic precipitated anxiety. Findings revealed two distinct profiles/types, the "cross-addiction low risk" (57.4%) and the "cross-addiction high risk" (42.6%). Those in the latter scored consistently higher across all behaviours assessed, were more likely to suffer from concurrent addictive problems, and reported significantly higher levels of pandemic-related anxiety. Implications for prevention, assessment, and treatment and future research are discussed.
Keywords: Addictive behaviours; COVID-19; Cross-addiction; Latent class analysis.
© The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2022.
Conflict of interest statement
Conflict of InterestThe authors declare no competing interests.
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References
-
- Akaike H. A new look at the statistical model identification. IEEE Transactions on Automatic Control. 1974;19(6):716–723. doi: 10.1109/TAC.1974.1100705. - DOI
-
- Akogul, S., & Erisoglu, M. (2017). An approach for determining the number of clusters in a model-based cluster analysis. Entropy, 19(9), Article 452. 10.3390/e19090452
-
- Albertella, L., Rotaru, K., Christensen, E., Lowe, A., Brierley, M. E., Richardson, K., Chamberlain, S. R., Lee, R. S. C., Kayayan, E., Grant, J. E., Schluter-Hughes, S., Ince, C., Fontenelle, L. F., Segrave, R., & Yücel, M. (2021). The influence of trait compulsivity and impulsivity on addictive and compulsive behaviors during COVID-19. Frontiers in Psychiatry, 12, Article 634583. 10.3389/fpsyt.2021.634583 - PMC - PubMed
-
- Alexander BK, Schweighofer AR. Defining “addiction”. Canadian Psychology/psychologie Canadienne. 1988;29(2):151–162. doi: 10.1037/h0084530. - DOI
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