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dc.contributor.authorRyan, S.
dc.date.accessioned2022-07-28T16:49:17Z
dc.date.available2022-07-28T16:49:17Z
dc.date.issued2022
dc.identifier.citation

Ryan, S. (2022) 'Can we improve self-esteem by reducing Instagram usage, via a novel online imagery intervention?', The Plymouth Student Scientist, 15(1), pp. 160-172.

en_US
dc.identifier.urihttp://hdl.handle.net/10026.1/19454
dc.description.abstract

Self-esteem has far-reaching effects on our lives. Low self-esteem can cause negative body image and depression, and therefore it is vital for psychologists to find ways to improve individuals’ self-esteem. Recent research has shown that social media usage is negatively associated with self-esteem, prompting the theory that interventions which reduce individuals’ social media usage could result in higher levels of self-esteem. Our study aimed to test this theory by using a novel online imagery intervention, developed from Functional Imagery Training (FIT), to reduce Instagram usage in participants from Plymouth University. Results showed that the novel online imagery intervention was not successful in reducing Instagram usage, nor was there a significant negative correlation between Self-esteem and Instagram usage. In conclusion: This is the first study to attempt to reduce Instagram usage via an online imagery intervention and should therefore be used as a basis for further studies, despite its limitations.

en_US
dc.language.isoenen_US
dc.publisherUniversity of Plymouthen_US
dc.rightsAttribution 3.0 United States*
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/us/*
dc.subjectFunctional Imageryen_US
dc.subjectTraining (FIT)en_US
dc.subjectNovel Interventionen_US
dc.subjectSelf-esteemen_US
dc.subjectInstagramen_US
dc.subjectBody imageen_US
dc.subjectSocial media usageen_US
dc.subjectOnline studyen_US
dc.titleCan we improve self-esteem by reducing Instagram usage, via a novel online imagery intervention?en_US
dc.typeArticleen_US
plymouth.issue1
plymouth.volume15
plymouth.journalThe Plymouth Student Scientist


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Attribution 3.0 United States
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