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

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Τίτλος: Prevalence of adiposity-based chronic disease in middle-aged adults from Czech Republic: The Kardiovize study
Συγγραφείς: Gonzalez-Rivas J. P., Mechanick J. I., Hernandez J. P., Infante-Garcia M. M., Pavlovska I., Medina-Inojosa J. R., Kunzova S., Nieto-Martinez R., Broz J., Busetto L., Maranhao Neto G. A., Lopez-Jimenez F., Urbanova J., Stokin G. B.
Συνεισφορές: Gonzalez-Rivas, J. P., Mechanick, J. I., Hernandez, J. P., Infante-Garcia, M. M., Pavlovska, I., Medina-Inojosa, J. R., Kunzova, S., Nieto-Martinez, R., Broz, J., Busetto, L., Maranhao Neto, G. A., Lopez-Jimenez, F., Urbanova, J., Stokin, G. B.
Στοιχεία εκδότη: John Wiley and Sons Inc
Έτος έκδοσης: 2021
Συλλογή: Padua Research Archive (IRIS - Università degli Studi di Padova)
Θεματικοί όροι: adiposity, cardiovascular disease, epidemiology, obesity, overweight
Περιγραφή: 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/m2 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.
Τύπος εγγράφου: article in journal/newspaper
Γλώσσα: English
Relation: info:eu-repo/semantics/altIdentifier/pmid/34631132; info:eu-repo/semantics/altIdentifier/wos/WOS:000647238400001; volume:7; issue:5; firstpage:535; lastpage:544; numberofpages:10; journal:OBESITY SCIENCE & PRACTICE; https://hdl.handle.net/11577/3448554
DOI: 10.1002/osp4.496
Διαθεσιμότητα: https://hdl.handle.net/11577/3448554
https://doi.org/10.1002/osp4.496
Rights: info:eu-repo/semantics/openAccess ; license:Creative commons ; license uri:http://creativecommons.org/licenses/by-nc-nd/4.0/
Αριθμός Καταχώρησης: edsbas.D4678731
Βάση Δεδομένων: BASE
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Items – Name: Title
  Label: Title
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  Data: Prevalence of adiposity-based chronic disease in middle-aged adults from Czech Republic: The Kardiovize study
– Name: Author
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  Data: <searchLink fieldCode="AR" term="%22Gonzalez-Rivas+J%2E+P%2E%22">Gonzalez-Rivas J. P.</searchLink><br /><searchLink fieldCode="AR" term="%22Mechanick+J%2E+I%2E%22">Mechanick J. I.</searchLink><br /><searchLink fieldCode="AR" term="%22Hernandez+J%2E+P%2E%22">Hernandez J. P.</searchLink><br /><searchLink fieldCode="AR" term="%22Infante-Garcia+M%2E+M%2E%22">Infante-Garcia M. M.</searchLink><br /><searchLink fieldCode="AR" term="%22Pavlovska+I%2E%22">Pavlovska I.</searchLink><br /><searchLink fieldCode="AR" term="%22Medina-Inojosa+J%2E+R%2E%22">Medina-Inojosa J. R.</searchLink><br /><searchLink fieldCode="AR" term="%22Kunzova+S%2E%22">Kunzova S.</searchLink><br /><searchLink fieldCode="AR" term="%22Nieto-Martinez+R%2E%22">Nieto-Martinez R.</searchLink><br /><searchLink fieldCode="AR" term="%22Broz+J%2E%22">Broz J.</searchLink><br /><searchLink fieldCode="AR" term="%22Busetto+L%2E%22">Busetto L.</searchLink><br /><searchLink fieldCode="AR" term="%22Maranhao+Neto+G%2E+A%2E%22">Maranhao Neto G. A.</searchLink><br /><searchLink fieldCode="AR" term="%22Lopez-Jimenez+F%2E%22">Lopez-Jimenez F.</searchLink><br /><searchLink fieldCode="AR" term="%22Urbanova+J%2E%22">Urbanova J.</searchLink><br /><searchLink fieldCode="AR" term="%22Stokin+G%2E+B%2E%22">Stokin G. B.</searchLink>
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  Data: Gonzalez-Rivas, J. P.<br />Mechanick, J. I.<br />Hernandez, J. P.<br />Infante-Garcia, M. M.<br />Pavlovska, I.<br />Medina-Inojosa, J. R.<br />Kunzova, S.<br />Nieto-Martinez, R.<br />Broz, J.<br />Busetto, L.<br />Maranhao Neto, G. A.<br />Lopez-Jimenez, F.<br />Urbanova, J.<br />Stokin, G. B.
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  Data: John Wiley and Sons Inc
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  Data: 2021
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  Data: Padua Research Archive (IRIS - Università degli Studi di Padova)
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  Data: <searchLink fieldCode="DE" term="%22adiposity%22">adiposity</searchLink><br /><searchLink fieldCode="DE" term="%22cardiovascular+disease%22">cardiovascular disease</searchLink><br /><searchLink fieldCode="DE" term="%22epidemiology%22">epidemiology</searchLink><br /><searchLink fieldCode="DE" term="%22obesity%22">obesity</searchLink><br /><searchLink fieldCode="DE" term="%22overweight%22">overweight</searchLink>
– Name: Abstract
  Label: Description
  Group: Ab
  Data: 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/m2 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.
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  Data: info:eu-repo/semantics/altIdentifier/pmid/34631132; info:eu-repo/semantics/altIdentifier/wos/WOS:000647238400001; volume:7; issue:5; firstpage:535; lastpage:544; numberofpages:10; journal:OBESITY SCIENCE & PRACTICE; https://hdl.handle.net/11577/3448554
– Name: DOI
  Label: DOI
  Group: ID
  Data: 10.1002/osp4.496
– Name: URL
  Label: Availability
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  Data: https://hdl.handle.net/11577/3448554<br />https://doi.org/10.1002/osp4.496
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  Data: info:eu-repo/semantics/openAccess ; license:Creative commons ; license uri:http://creativecommons.org/licenses/by-nc-nd/4.0/
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