A latent class analysis of cardiometabolic risk factors and the predicted prevalence of subclinical atherosclerosis in middle-aged Swedish adults

Abstract Previous research on cardiometabolic risk has mostly used a variable-centred approach, assessing risk factors separately or in predefined combinations. This study used a probabilistic modelling approach to identify distinct cardiometabolic risk classes and estimate the predicted prevalence...

Täydet tiedot

Bibliografiset tiedot

Päätekijät:	Kanya Anindya, Marcus Bendtsen, Tomas Jernberg, Susanna Calling, Lars Lind, Lars Weinehall, Nawi Ng, Maria Rosvall
Aineistotyyppi:	Artigo
Kieli:	Inglês
Julkaistu:	Nature Portfolio 2026-03-01
Sarja:	Scientific Reports
Aiheet:	Atherosclerosis Cardiovascular disease Cardiometabolic risk factors Latent class analysis Bias-adjusted three-step estimation
Linkit:	https://doi.org/10.1038/s41598-026-42858-5
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