Causal explanations of depression on perceptions of and likelihood to choose cognitive behavioural therapy and antidepressant medications as depression treatments.

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Title: Causal explanations of depression on perceptions of and likelihood to choose cognitive behavioural therapy and antidepressant medications as depression treatments.
Authors: Watson, Lisa M., Beshai, Shadi
Source: Psychology & Psychotherapy: Theory, Research & Practice. Jun2021, Vol. 94 Issue 2, p201-216. 16p. 4 Charts.
Subjects: Antidepressants, Internet, Cross-sectional method, Sensory perception, Mental depression, Descriptive statistics, Crowdsourcing, Cognitive therapy
Abstract: Objectives: This research examined whether people's causal explanations of depression were associated with acceptability and efficacy‐related treatment perceptions and likelihood to choose cognitive behavioural therapy (CBT) and antidepressant medication (ADM) as depression treatments. Design: A cross‐sectional internet‐based design was used. Methods: A general population sample was used over a clinical sample to study those who had not yet chosen to enter treatment. A total of 422 individuals were recruited through a crowdsourcing platform to complete an online survey. Measures included perceived causes of depression, perceived acceptability, efficacy and choice likelihood for ADM and CBT, and demographics. Results: Those with biological causal explanations of depression were more favourable towards ADM on all three perceptual measures of acceptability, efficacy and likelihood to choose ADM as a treatment for depression. Personality/character‐related causal explanations of depression were positively related to perceived efficacy and likelihood to choose CBT as a depression treatment. Those endorsing environmental stress causes of depression were more likely to choose CBT as a treatment for depression. Conclusions: Results indicated that people's beliefs about the causes of depression were related to their perceptions of and likelihoods to choose ADM and CBT as depression treatments. Practitioner Points: Provides evidence of how different causal explanations of depression influence sufferers' likelihoods to choose ADM and CBT as possible treatments for their depression.Provides support for exploring potential patients' causal explanations about depression prior to recommending a treatment regimen. [ABSTRACT FROM AUTHOR]
Copyright of Psychology & Psychotherapy: Theory, Research & Practice is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Psychology and Behavioral Sciences Collection
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  Data: Causal explanations of depression on perceptions of and likelihood to choose cognitive behavioural therapy and antidepressant medications as depression treatments.
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  Data: <searchLink fieldCode="AR" term="%22Watson%2C+Lisa+M%2E%22">Watson, Lisa M.</searchLink><br /><searchLink fieldCode="AR" term="%22Beshai%2C+Shadi%22">Beshai, Shadi</searchLink>
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  Data: <searchLink fieldCode="DE" term="%22Antidepressants%22">Antidepressants</searchLink><br /><searchLink fieldCode="DE" term="%22Internet%22">Internet</searchLink><br /><searchLink fieldCode="DE" term="%22Cross-sectional+method%22">Cross-sectional method</searchLink><br /><searchLink fieldCode="DE" term="%22Sensory+perception%22">Sensory perception</searchLink><br /><searchLink fieldCode="DE" term="%22Mental+depression%22">Mental depression</searchLink><br /><searchLink fieldCode="DE" term="%22Descriptive+statistics%22">Descriptive statistics</searchLink><br /><searchLink fieldCode="DE" term="%22Crowdsourcing%22">Crowdsourcing</searchLink><br /><searchLink fieldCode="DE" term="%22Cognitive+therapy%22">Cognitive therapy</searchLink>
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  Label: Abstract
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  Data: Objectives: This research examined whether people's causal explanations of depression were associated with acceptability and efficacy‐related treatment perceptions and likelihood to choose cognitive behavioural therapy (CBT) and antidepressant medication (ADM) as depression treatments. Design: A cross‐sectional internet‐based design was used. Methods: A general population sample was used over a clinical sample to study those who had not yet chosen to enter treatment. A total of 422 individuals were recruited through a crowdsourcing platform to complete an online survey. Measures included perceived causes of depression, perceived acceptability, efficacy and choice likelihood for ADM and CBT, and demographics. Results: Those with biological causal explanations of depression were more favourable towards ADM on all three perceptual measures of acceptability, efficacy and likelihood to choose ADM as a treatment for depression. Personality/character‐related causal explanations of depression were positively related to perceived efficacy and likelihood to choose CBT as a depression treatment. Those endorsing environmental stress causes of depression were more likely to choose CBT as a treatment for depression. Conclusions: Results indicated that people's beliefs about the causes of depression were related to their perceptions of and likelihoods to choose ADM and CBT as depression treatments. Practitioner Points: Provides evidence of how different causal explanations of depression influence sufferers' likelihoods to choose ADM and CBT as possible treatments for their depression.Provides support for exploring potential patients' causal explanations about depression prior to recommending a treatment regimen. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Psychology & Psychotherapy: Theory, Research & Practice is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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      – Type: doi
        Value: 10.1111/papt.12300
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        Text: English
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      – SubjectFull: Cross-sectional method
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      – SubjectFull: Sensory perception
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      – SubjectFull: Mental depression
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      – SubjectFull: Descriptive statistics
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      – SubjectFull: Crowdsourcing
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      – SubjectFull: Cognitive therapy
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              Text: Jun2021
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              Y: 2021
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