Identification of Risk Groups for and Factors Affecting Metabolic Syndrome in South Korean Single-Person Households Using Latent Class Analysis and Machine Learning Techniques: Secondary Analysis Study

BACKGROUND: The rapid increase of single-person households in South Korea is leading to an increase in the incidence of metabolic syndrome, which causes cardiovascular and cerebrovascular diseases, due to lifestyle changes. It is necessary to analyze the complex effects of metabolic syndrome risk fa...

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Detalles Bibliográficos
Autores principales: Lee, Ji-Soo, Lee, Soo-Kyoung
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2023
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10523223/
https://www.ncbi.nlm.nih.gov/pubmed/37698907
http://dx.doi.org/10.2196/42756

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10523223/
https://www.ncbi.nlm.nih.gov/pubmed/37698907
http://dx.doi.org/10.2196/42756

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