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Dataset Information

Examination of social media nutrition information related to multiple sclerosis: a cross-sectional social network analysis.


ABSTRACT:

Objective

Multiple sclerosis (MS) is a chronic, auto-immune, neurodegenerative condition with increasing global prevalence. People living with MS (plwMS) have reported limited guidance relating to nutrition information. Paired with varied health literacy levels, this makes plwMS susceptible to nutrition misinformation.

Design

A cross-sectional online social network analysis (SNA) examining nutrition information for MS.

Setting

A systematic SNA using Twitter/X and YouTube platforms using NodeXL to summarise metrics. Quality was assessed using the QUEST tool. Content analysis of YouTube videos was synthesised into themes for misinformation.

Participants

Online publicly available social media user posts and video content.

Results

Twitter/X SNA revealed keyw

SUBMITTER: Probst Y 

PROVIDER: S-EPMC12722084 | biostudies-literature | 2025 Sep

REPOSITORIES: biostudies-literature