ArticleObesity science & practice2021
Prevalence of adiposity-based chronic disease in middle-aged adults from Czech Republic: The Kardiovize study.
Article in Obesity science & practice, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
What it found
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Who cites it
6 citing papers in PubMed, 14 citations in OpenAlex.
- Global, regional, and national burden of colorectal cancer attributable to central obesity: a population attributable fraction analysis.BMC medicine · 2026Article
- Metabolic Score for Insulin Resistance and New-Onset Type 2 Diabetes in a Middle-Aged and Older Adult Population: Nationwide Prospective Cohort Study and Implications for Primary Care.JMIR public health and surveillance · 2024Article
- Telehealth and cardiometabolic-based chronic disease: optimizing preventive care in forcibly displaced migrant populations.Journal of health, population, and nutrition · 2023Review
- Prevalence of adiposity-based chronic disease in middle-aged adults from Czech Republic: The Kardiovize study.Obesity science & practice · 2021Article
- Prediction of Cardiorespiratory Fitness in Czech Adults: Normative Values and Association with Cardiometabolic Health.International journal of environmental research and public health · 2021Article
- Review
Corrections and comments
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Authors and funding
14 authors at 8 institutions in 5 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
aims/hypothesisThe 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.
methodsIn total, 2159 participants were randomly selected from Czechia. ABCD was established as BMI ≥ 25 kg/m
resultsABCD 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/
interpretationThe ABCD model provides a more sensitive approach that facilitates the early detection and stratification of participants at risk compared to traditional classifiers.
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