Instagram: Friend or foe? The application’s association with psychological well-being
Abstract
The current study examined the association between the social media application Instagram and its users’ psychological well-being. Participants, both Instagram users and non-users, were surveyed online on measures of depression, anxiety, loneliness, self-esteem, body image, and social comparison. Participants who reported having an Instagram account were also asked about their time spent on Instagram and Instagram anxiety. To understand the association between Instagram and psychological well-being, the study’s first aim was to compare participants who had an Instagram account with those who did not have one. Results revealed that participants with the application reported lower levels of anxiety, depression, and loneliness, and higher levels of self-esteem, than participants who did not have an account. Furthermore, loneliness and self-esteem mediated the association between having an Instagram account and depression and anxiety. The second aim of the study was to examine what factors are associated with Instagram users’ reports of anxiety and depression, focusing specifically on participants who reported having an Instagram account. Results revealed that anxiety and depression were predicted by Instagram anxiety and social comparison, respectively. Overall, these results show that Instagram is associated with psychological well-being. However, when Instagram users experience Instagram anxiety or engage in social comparison, it is associated with poorer psychological outcomes. This research provides an insight into the psychological impact that Instagram can have on its users.
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Surveys and questionnaires are essential for capturing data on body image satisfaction or dissatisfaction, concerns about specific body parts, and psychological effects including impacts on self-esteem and mental health issues like depression and anxiety.
“Surveys and questionnaires are essential for capturing a wide array of data on body image satisfaction or dissatisfaction, concerns about specific body parts, and the psychological effects linked to these perceptions, including impacts on self-esteem and mental health issues like depression and anxiety [199].”
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Design Knowledge for Sensitive Social Media Recommender Systems
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- Authors
- Mackson, S. B., Brochu, P. M., & Schneider, B. A.
- Affiliations
- Nova Southeastern University (US)
- Corresponding author
- Mackson, Samantha B
- Venue
- New Media & Society
- Publisher
- SAGE Publications
- Published
- 2019-04-04
- Volume
- 21
- Issue
- 10
- Pages
- 2160-2182
- ISSN
- 1461-4448 (ISSN-L)
- 1461-7315
- OpenAlex
- W2935429624
- Cited by
- 125
- References
- 43
- Citations by year
- 2026: 6 · 2025: 18 · 2024: 21 · 2023: 24 · 2022: 23 · 2021: 22 · 2020: 9 · 2019: 1
- FWCI
- 27.69
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- New Media & Society (publishedVersion)
- NSUWorks (Nova Southeastern University) (submittedVersion)
- Topics
- Social Sciences › Sociology and Political Science › Impact of Technology on Adolescents
- Social Sciences › Psychology › Clinical Psychology › Body Image and Dysmorphia Studies
- Social Sciences › Psychology › Social Psychology › Mental Health via Writing
- Keywords
- Instagram, social media use, psychological well-being, depression, anxiety, loneliness, self-esteem, body image, social comparison
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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