Literature DB >> 25697236

Attitudes and Preferences towards Self-help Treatments for Depression in Comparison to Psychotherapy and Antidepressant Medication.

Katie Hanson1, Thomas L Webb2, Paschal Sheeran3, Graham Turpin2.   

Abstract

BACKGROUND: Self-help is an effective treatment for depression. Less is known, however, about how acceptable people find different self-help treatments for depression. AIMS: To investigate preferences and attitudes toward different self-help treatments for depression in comparison to psychotherapy and antidepressants.
METHOD: N = 536 people who were not actively seeking treatment for depression were randomly assigned to read about one of five treatment options (bibliotherapy, Internet-based self-help, guided self-help, antidepressants, or psychotherapy) before rating how acceptable they found the treatment. Participants also ranked the treatments in order of preference.
RESULTS: Psychotherapy and guided self-help were found to be the most acceptable and preferred treatment options. Antidepressants and bibliotherapy were found to be the least acceptable treatments, with antidepressants rated as the most likely to have side effects. Preference data reflected the above findings - psychotherapy and guided self-help were the most preferred treatment options.
CONCLUSIONS: The findings highlight differences in attitudes and preferences between guided and unguided self-help interventions; and between self-help interventions and psychotherapy. Future research should focus on understanding why unguided self-help interventions are deemed to be less acceptable than guided self-help interventions for treating depression.

Entities:  

Keywords:  Depression; acceptability; preference; self-help

Mesh:

Substances:

Year:  2015        PMID: 25697236     DOI: 10.1017/S1352465815000041

Source DB:  PubMed          Journal:  Behav Cogn Psychother        ISSN: 1352-4658


  5 in total

1.  Real-time fMRI neurofeedback compared to cognitive behavioral therapy in a pilot study for the treatment of mild and moderate depression.

Authors:  Mikhail Ye Mel'nikov; Dmitriy D Bezmaternykh; Andrey A Savelov; Evgeniy D Petrovskiy; Lyudmila I Kozlova; Kira A Natarova; Tatiana D Larina; Tatiana M Andamova; Mikhail Zvyagintsev; Mark B Shtark; Klaus Mathiak
Journal:  Eur Arch Psychiatry Clin Neurosci       Date:  2022-07-30       Impact factor: 5.760

2.  Machine Learning-Based Prediction Models for Depression Symptoms Among Chinese Healthcare Workers During the Early COVID-19 Outbreak in 2020: A Cross-Sectional Study.

Authors:  Zhaohe Zhou; Dan Luo; Bing Xiang Yang; Zhongchun Liu
Journal:  Front Psychiatry       Date:  2022-04-29       Impact factor: 5.435

3.  Mental Health Conditions Among Community College Students: A National Study of Prevalence and Use of Treatment Services.

Authors:  Sarah Ketchen Lipson; Megan V Phillips; Nathan Winquist; Daniel Eisenberg; Emily G Lattie
Journal:  Psychiatr Serv       Date:  2021-03-04       Impact factor: 4.157

Review 4.  A Narrative Review of Empirical Literature of Behavioral Activation Treatment for Depression.

Authors:  Xiaoxia Wang; Zhengzhi Feng
Journal:  Front Psychiatry       Date:  2022-04-25       Impact factor: 4.157

5.  Salivary Cortisol Levels and Depressive Symptomatology in Consumers and Nonconsumers of Self-Help Books: A Pilot Study.

Authors:  Catherine Raymond; Marie-France Marin; Anne Hand; Shireen Sindi; Robert-Paul Juster; Sonia J Lupien
Journal:  Neural Plast       Date:  2015-12-29       Impact factor: 3.599

  5 in total

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