ArticleSSM. Mental health2026
Hookups, hashtags, and health: A Latent Class Analysis of social media, mental health and sleep among MSM in Paris, France.
Article in SSM. Mental health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Authors and funding
6 authors.
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Abstract
Background: Social media use is ubiquitous, permeating nearly all populations globally, including men who have sex with men (MSM), despite there being mixed impacts to its use. To fill this gap, we sought to typologize social media usage, mental health, and sleep health among MSM in Paris, France, a city with a large LGBTQIA + community and high social media usage. Methods: Participants were recruited using broadcast advertisements on a popular geosocial networking application in Paris in October 2016. Consenting participants completed a self-administered survey online (French or English) that assessed: sleep characteristics; mental health; and social media use behaviors. We conducted a Latent Class Analysis (LCA) to characterize the number of distinct latent classes across the three primary constructs of interest. Results: A total of 580 participants completed the survey and 539 (92.9%) provided complete data for the LCA. The four-class model fit our data best; thus, we assigned participants to one of four distinct latent classes: 1) Conclusion: Findings from this work may inform culturally-tailored interventions, public health messaging, and policy efforts to promote mental, behavioral, and digital health among MSM in France and beyond, while identifying opportunities to leverage digital platforms for sleep and mental health in digital communities.
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