Publication details

Prevalence of adiposity-based chronic disease in middle-aged adults from Czech Republic: The Kardiovize study

Authors	GONZALEZ-RIVAS J. P. MECHANICK J. I. HERNANDEZ J. P. INFANTE-GARCIA M. M. PAVLOVSKA Iuliia MEDINA-INOJOSA J. R. KUNZOVA Sarka NIETO-MARTINEZ R. BROZ Jan BUSETTO L. NETO G. A. M. LOPEZ-JIMENEZ F. URBANOVA Jana STOKIN G. B.
Year of publication	2021
Type	Article in Periodical
Magazine / Source	OBESITY SCIENCE & PRACTICE
MU Faculty or unit	Faculty of Medicine
Citation
Web	https://onlinelibrary.wiley.com/doi/10.1002/osp4.496
Doi	http://dx.doi.org/10.1002/osp4.496
Keywords	adiposity; cardiovascular disease; epidemiology; obesity; overweight
Description	Aims/Hypothesis The need for understanding obesity as a chronic disease, its stigmatization, and the lack of actionability related to it demands a new approach. The adiposity-based chronic disease (ABCD) model is based on adiposity amount, distribution, and function, with a three stage complication-centric rather than a body mass index (BMI)-centric approach. The prevalence rates and associated risk factors are presented. Methods In total, 2159 participants were randomly selected from Czechia. ABCD was established as BMI >= 25 kg/m(2) or high body fat percent, or abdominal obesity and then categorized by their adiposity-based complications: Stage 0: none; Stage 1: mild/moderate; Stage 2: severe. Results ABCD prevalence was 62.8%. Stage 0 was 2.3%; Stage 1 was 31.4%; Stage 2 was 29.1%. Comparing with other classifiers, participants in Stage 2 were more likely to have diabetes, hypertension, and metabolic syndrome than those with overweight, obesity, abdominal obesity, and increased fat mass. ABCD showed the highest sensitivity and specificity to detect participants with peripheral artery disease, increased intima media, and vascular disease. Conclusion/Interpretation The ABCD model provides a more sensitive approach that facilitates the early detection and stratification of participants at risk compared to traditional classifiers.