Seeing and Being Seen: A Latent Class Analysis of Social Media Use Among Young Individuals With Visible Differences and Its Links to Sociodemographic Characteristics, Norms, Body Characteristics, and Body Image

Appearance-focused interactions are common on social media and may be particularly relevant for the body image of young individuals with appearance-altering conditions, also known as visible differences. Yet, little is known about how these interactions co-occur to form usage patterns, especially in this group. This study, therefore, examined distinct social media usage patterns based on visible difference-related social media interactions (exposure to visible differences, engagement in public and private safety behaviours), usage time, and posting and sharing behaviours. Next, associations between subgroup membership and various individual factors were explored. Survey data from 119 Dutch-speaking young individuals with visible differences (Mage = 25.32; SDage = 3.44; 82.35% girls) were analysed using latent class analysis, revealing two subgroups. The first subgroup avoided posting on social media and sharing pictures via instant messages or concealed their visible difference, whereas the second subgroup openly displayed their condition on social media. Members of the first subgroup were more likely to have stronger norms restricting visible difference presentation on social media, and more negative body image. Findings highlight the relevance of studying co-occurring appearance-related interactions and inform tailored interventions.

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Publication Details

Journal
Lirias
Published
2026-10-01
DOI
https://doi.org/10.1037/ppm0000693
Primary Topic
Eating Disorders and Behaviors
Type
article
Field-Weighted Citation Impact
0.00
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article

Seeing and Being Seen: A Latent Class Analysis of Social Media Use Among Young Individuals With Visible Differences and Its Links to Sociodemographic Characteristics, Norms, Body Characteristics, and Body Image

Chelly Maes, Lara Schreurs, Jill Meirte, Laura Vandenbosch et al.
Lirias
Eating Disorders and Behaviors
article

Seeing and Being Seen: A Latent Class Analysis of Social Media Use Among Young Individuals With Visible Differences and Its Links to Sociodemographic Characteristics, Norms, Body Characteristics, and Body Image

Chelly Maes, Lara Schreurs, Jill Meirte, Laura Vandenbosch, Laure Dedecker
article en

Abstract

Appearance-focused interactions are common on social media and may be particularly relevant for the body image of young individuals with appearance-altering conditions, also known as visible differences. Yet, little is known about how these interactions co-occur to form usage patterns, especially in this group. This study, therefore, examined distinct social media usage patterns based on visible difference-related social media interactions (exposure to visible differences, engagement in public and private safety behaviours), usage time, and posting and sharing behaviours. Next, associations between subgroup membership and various individual factors were explored. Survey data from 119 Dutch-speaking young individuals with visible differences (Mage = 25.32; SDage = 3.44; 82.35% girls) were analysed using latent class analysis, revealing two subgroups. The first subgroup avoided posting on social media and sharing pictures via instant messages or concealed their visible difference, whereas the second subgroup openly displayed their condition on social media. Members of the first subgroup were more likely to have stronger norms restricting visible difference presentation on social media, and more negative body image. Findings highlight the relevance of studying co-occurring appearance-related interactions and inform tailored interventions.

Lirias
Reduced inequalities
Openalex Percentile: Top 42%
Eating Disorders and Behaviors
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Seeing and Being Seen: A Latent Class Analysis of Social Media Use Among Young Individuals With Visible Differences and Its Links to Sociodemographic Characteristics, Norms, Body Characteristics, and Body Image — Chelly Maes, Lara Schreurs, et al. · Lirias (2026) | TGRS Research Map | TGRS