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The lexicon of sleep health: A natural language processing bibliometric analysis of the DEI-related terms
Vincent P Martin1, Karën Fort1, Julien Coelho2
1Université de Lorraine, CNRS, Inria, LORIA, Nancy, France.
Objective:
We assessed the representations of Diversity, Equity and Inclusion-related terms in the sleep health literature as an indicator of the importance of Diversity, Equity and Inclusion-related terms for sleep health research and policies.
Method:
We performed a bibliometric analysis and a lexical network of these Diversity, Equity and Inclusion-related terms in previously published literature.
Results:
Based on 4047 abstracts, we found 105 out of 163 DEI-related terms (63.5%). A total of 2822 (69.7%) articles had at least one Diversity, Equity and Inclusion-related term. These articles had an average of 4.7 terms per article (sd: 5.7). Interestingly, the ratio of articles containing at least one DEI-related term has risen from 61.1% in 2014 to 73.9% in 2024. On the contrary, the number of Diversity, Equity and Inclusion-related terms in each abstract remains constant over time.
Conclusion:
This bibliometric and lexical network study illustrates the difficulty of making research and promoting sleep health policies without Diversity, Equity and Inclusion-related terms.
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