Dataset for "#DiabetesOnAPlate: the everyday deployment and contestation of diabetes stigma in an online setting"

Data has been extracted from an on-line survey where people were asked to comment on a prototypical #diabetesonaplate Instagram post.

People living with diabetes report that they are stigmatised and blamed for their condition, and that media are a primary source of stigmatic representations. Our analysis found that, consistent with the notion of diabetes as stigmatised, use of the hashtag #DiabetesOnAPlate on Instagram, was associated with indulgent eating and with posts that signalled recognition of this as a moral transgression. A subsequent on-line survey found that participants who did not have diabetes did not recognise a prototypical #DiabetesOnAPlate post as stigmatic. Whilst some of those with Type 1 and Type 2 diabetes did perceive and contest the stigma, Type 1 participants did so for their group (but not for Type 2); and there was evidence that some Type 2 participants internalised the stigma. These findings support concerns about the everyday, divisive nature of stigmatic representations of diabetes on social network sites, which may compromise health messaging and positive health behaviours.

Keywords:
diabetes, stigma, health messaging, instagram, qualitative
Subjects:
Psychology

Cite this dataset as:
Blackwood, L., Johansen, J., 2022. Dataset for "#DiabetesOnAPlate: the everyday deployment and contestation of diabetes stigma in an online setting". Bath: University of Bath Research Data Archive. Available from: https://doi.org/10.15125/BATH-01059.

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Data

Study 2 data_QHR.xlsx
application/vnd.openxmlformats-officedocument.spreadsheetml.sheet (27kB)
Creative Commons: Attribution 4.0

Excel spreadsheet containing comments from 61 participants regarding DOP post

Creators

Leda Blackwood
University of Bath

Jessica Johansen
University of Bath

Contributors

University of Bath
Rights Holder

Documentation

Data collection method:

An on-line survey was used to collect the data. The full procedure is explained in the published article.

Data processing and preparation activities:

Data has been anonymised.

Technical details and requirements:

The data is in MS Excel spreadsheet format.

Methodology link:

Blackwood, L., Gavin, J., Arnott, E., Barnett, J., Dack, C., and Johansen, J., 2022. #DiabetesOnAPlate: the everyday deployment and contestation of diabetes stigma in an online setting. Critical Public Health, 33(2), 160-173. Available from: https://doi.org/10.1080/09581596.2022.2077548.

Funders

Self-funded

Publication details

Publication date: 27 May 2022
by: University of Bath

Version: 1

DOI: https://doi.org/10.15125/BATH-01059

URL for this record: https://researchdata.bath.ac.uk/id/eprint/1059

Related papers and books

Blackwood, L., Gavin, J., Arnott, E., Barnett, J., Dack, C., and Johansen, J., 2022. #DiabetesOnAPlate: the everyday deployment and contestation of diabetes stigma in an online setting. Critical Public Health, 33(2), 160-173. Available from: https://doi.org/10.1080/09581596.2022.2077548.

Contact information

Please contact the Research Data Service in the first instance for all matters concerning this item.

Contact person: Leda Blackwood

Departments:

Faculty of Humanities & Social Sciences
Psychology