Making sense of negative findings from mobile attention bias modification interventions for individuals with addictive disorders : quantitative feasibility study
Background: Advances in experimental psychology have led to a better understanding of unconscious, automatic processes that result in individuals relapsing into their substance-using habits. While some reviews have demonstrated the effectiveness of bias retraining of these unconscious biases, there...
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Science::Medicine Attention Bias Cognitive Bias Zhang, Melvyn Ying, Jiangbo Amron, Syidda B. Mahreen, Zaakira Song, Guo Fung, Daniel Shuen Sheng Smith, Helen Elizabeth Making sense of negative findings from mobile attention bias modification interventions for individuals with addictive disorders : quantitative feasibility study |
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Background: Advances in experimental psychology have led to a better understanding of unconscious, automatic processes that result in individuals relapsing into their substance-using habits. While some reviews have demonstrated the effectiveness of bias retraining of these unconscious biases, there have been other reviews that have highlighted that bias retraining is not always effective. Other studies have revealed there was no baseline biases among some participants. An examination of mobile bias retraining interventions has also revealed mixed results, with some reporting effectiveness and others null findings. A recent feasibility and acceptability study, done by the authors, revealed that 53% of participants have had no baseline biases and 21% of those with positive baseline biases did not have a positive change in magnitude following intervention. Objective: The aim of this paper was to explore potential variables (demographic and clinical) that could account for the negative baseline biases in the prior feasibility and acceptability study, and to discuss some of the factors that could account for the absence of baseline biases. We also explored potential reasons for why there was no reduction in the magnitude of attentional biases among individuals with baseline biases. Methods: Participants who were in the rehabilitation phase of their treatment were invited to participate. During the study they had to complete a set of baseline questionnaires, and on each day that they were on the ward they had to complete an attention bias assessment and modification task and rate their cravings using a visual analogue scale. Attention bias was deemed to be present if individuals had a positive score. Results: In our study, 53% (16/30) of individuals did not present with baseline attentional biases, and among those with positive baseline biases a total of 21% (3/14) of participants did not have a reduction in the overall magnitude of attentional biases. Chi-square analyses undertaken to compare the demographic characteristics of participants with and without baseline biases did not reveal any significant findings. However, with respect to clinical characteristics, those who had positive baseline biases had experimented with more substances. Conclusions: Our study is one of the first to have explored negative findings in attention bias modification interventions for individuals with addictive disorders. We postulate that several factors could account for the absence of baseline biases and there being no changes following bias retraining. Future research ought to take into consideration these factors. |
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Lee Kong Chian School of Medicine (LKCMedicine) |
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Lee Kong Chian School of Medicine (LKCMedicine) Zhang, Melvyn Ying, Jiangbo Amron, Syidda B. Mahreen, Zaakira Song, Guo Fung, Daniel Shuen Sheng Smith, Helen Elizabeth |
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Zhang, Melvyn Ying, Jiangbo Amron, Syidda B. Mahreen, Zaakira Song, Guo Fung, Daniel Shuen Sheng Smith, Helen Elizabeth |
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Zhang, Melvyn |
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Making sense of negative findings from mobile attention bias modification interventions for individuals with addictive disorders : quantitative feasibility study |
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Making sense of negative findings from mobile attention bias modification interventions for individuals with addictive disorders : quantitative feasibility study |
title_full |
Making sense of negative findings from mobile attention bias modification interventions for individuals with addictive disorders : quantitative feasibility study |
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Making sense of negative findings from mobile attention bias modification interventions for individuals with addictive disorders : quantitative feasibility study |
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Making sense of negative findings from mobile attention bias modification interventions for individuals with addictive disorders : quantitative feasibility study |
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making sense of negative findings from mobile attention bias modification interventions for individuals with addictive disorders : quantitative feasibility study |
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2020 |
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https://hdl.handle.net/10356/144123 |
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sg-ntu-dr.10356-1441232020-11-01T05:27:12Z Making sense of negative findings from mobile attention bias modification interventions for individuals with addictive disorders : quantitative feasibility study Zhang, Melvyn Ying, Jiangbo Amron, Syidda B. Mahreen, Zaakira Song, Guo Fung, Daniel Shuen Sheng Smith, Helen Elizabeth Lee Kong Chian School of Medicine (LKCMedicine) Family Medicine and Primary Care Science::Medicine Attention Bias Cognitive Bias Background: Advances in experimental psychology have led to a better understanding of unconscious, automatic processes that result in individuals relapsing into their substance-using habits. While some reviews have demonstrated the effectiveness of bias retraining of these unconscious biases, there have been other reviews that have highlighted that bias retraining is not always effective. Other studies have revealed there was no baseline biases among some participants. An examination of mobile bias retraining interventions has also revealed mixed results, with some reporting effectiveness and others null findings. A recent feasibility and acceptability study, done by the authors, revealed that 53% of participants have had no baseline biases and 21% of those with positive baseline biases did not have a positive change in magnitude following intervention. Objective: The aim of this paper was to explore potential variables (demographic and clinical) that could account for the negative baseline biases in the prior feasibility and acceptability study, and to discuss some of the factors that could account for the absence of baseline biases. We also explored potential reasons for why there was no reduction in the magnitude of attentional biases among individuals with baseline biases. Methods: Participants who were in the rehabilitation phase of their treatment were invited to participate. During the study they had to complete a set of baseline questionnaires, and on each day that they were on the ward they had to complete an attention bias assessment and modification task and rate their cravings using a visual analogue scale. Attention bias was deemed to be present if individuals had a positive score. Results: In our study, 53% (16/30) of individuals did not present with baseline attentional biases, and among those with positive baseline biases a total of 21% (3/14) of participants did not have a reduction in the overall magnitude of attentional biases. Chi-square analyses undertaken to compare the demographic characteristics of participants with and without baseline biases did not reveal any significant findings. However, with respect to clinical characteristics, those who had positive baseline biases had experimented with more substances. Conclusions: Our study is one of the first to have explored negative findings in attention bias modification interventions for individuals with addictive disorders. We postulate that several factors could account for the absence of baseline biases and there being no changes following bias retraining. Future research ought to take into consideration these factors. Published version 2020-10-14T05:01:44Z 2020-10-14T05:01:44Z 2019 Journal Article Zhang, M., Ying, J., Amron, S. B., Mahreen, Z., Song, G., Fung, D. S. S., & Smith, H. E. (2019). Making sense of negative findings from mobile attention bias modification interventions for individuals with addictive disorders : quantitative feasibility study. JMIR mHealth and uHealth, 7(11), e16325-. doi:10.2196/16325 2291-5222 https://hdl.handle.net/10356/144123 10.2196/16325 31714248 11 7 en JMIR mHealth and uHealth © Melvyn Wb Zhang, Jiangbo Ying, Syidda B Amron, Zaakira Mahreen, Guo Song, Daniel SS Fung, Helen E Smith. Originally published in JMIR Mhealth and Uhealth (http://mhealth.jmir.org), 12.11.2019. This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR mhealth and uhealth, is properly cited. The complete bibliographic information, a link to the original publication on http://mhealth.jmir.org/, as well as this copyright and license information must be included. application/pdf |