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Global variation in cardiometabolic risk structures: A 48-country comparative Bayesian network analysis in 146,000 participants using WHO STEPS data

2026-05-20

Abstract excerpt

<h4>Background</h4> Cardiometabolic-based chronic disease (CMBCD) at an individual level results from complex interactions among a multi-tiered network of sociodemographic, behavioral, and metabolic factors. Though a consensus set of risk factors drives CMBCD, population context influences risk factor effects and interactions. To better understand this phenomenon, we investigated the multi-tiered networking of ca...

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Literature Corpus work
c046fdc8-af1b-5ba3-a7a8-9af3a72e3b27
DOI
10.64898/2026.05.15.26353288
Open publication

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Global variation in cardiometabolic risk structures: A 48-country comparative Bayesian network analysis in 146,000 participants using WHO STEPS dataDOI 10.64898/2026.05.15.26353288
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