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Updated: Jul 24, 2025

Integrating Computerized Linguistic and Social Network Analyses to Capture Addiction Recovery Capital in an Online Community
Published on: May 31, 2019
Applying the theory of planned behavior to predict online addiction treatment intention
Hagit Bonny-Noach1,2, Dudi Gold3,4, Ariel Caduri5
1Department of Criminology, Ariel University, Ariel, Israel.
Methods:
This descriptive-analytical study included a self-report questionnaire based on the TPB model, and was distributed to a sample of 115 people recovering from SUD, aged 18-69, 62% of whom were men.
Results:
Attitude, Subjective Norms (SN), and Perceived Behavioral Control (PBC) toward online addiction treatment was significantly positive in relation to intention and past behavior of participants in online addiction treatment. Attitude and PBC were found to be significant predictors, and the TPB model was found to be significant {F (3,111) = 47.29, p < 0.01}, explaining 56% of the variance of intention for participants in online addiction treatment.
Conclusion:
As online treatment is a relatively new tool in addiction treatment, professionals and treatment providers should encourage beliefs, attitudes, moral norms, and perceived behavior control to increase intentions among future participants in online addiction treatment.
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