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

. 2021 Oct ; 7 (5) : 535-544. [epub] 20210505

Status PubMed-not-MEDLINE Jazyk angličtina Země Spojené státy americké Médium electronic-ecollection

Typ dokumentu časopisecké články

Perzistentní odkaz   https://www.medvik.cz/link/pmid34631132

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.

Zobrazit více v PubMed

Institute for Health Metrics and Evaluation (IHME) . Global Burden Disease (GBD) Compare. https://vizhub.healthdata.org/gbd‐compare/. Accessed February 20, 2020.

Worldwide trends in body‐mass index, underweight, overweight, and obesity from 1975 to 2016: a pooled analysis of 2416 population‐based measurement studies in 128.9 million children, adolescents, and adults. Lancet 2017;390:2627–2642. PubMed PMC

Bixby H, Bentham J, Zhou B, et al. Rising rural body‐mass index is the main driver of the global obesity epidemic in adults. Nature. 2019;569:260–264. PubMed PMC

Jaacks LM, Vandevijvere S, Pan A, et al. The obesity transition: stages of the global epidemic. Lancet Diabetes Endocrinol. 2019;7:231–240. PubMed PMC

Locke AE, Kahali B, Berndt SI, et al. Genetic studies of body mass index yield new insights for obesity biology. Nature. 2015;518:197–206. PubMed PMC

Swinburn BA, Sacks G, Hall KD, et al. The global obesity pandemic: shaped by global drivers and local environments. Lancet. 2011;378:804‐814. PubMed

Rubino F, Puhl RM, Cummings DE, Eckel RH, Ryan DH, Mechanick JI, et al. Joint international consensus statement for ending stigma of obesity. Nat Med. 2020;26:485‐497. PubMed PMC

Kyle TK, Dhurandhar EJ, Allison DB. Regarding obesity as a disease: evolving policies and their implications. Endocrinol Metab Clin N Am. 2016;45:511–520. PubMed PMC

Bray GA, Kim KK, Wilding JPH, obotWO Federation . Obesity: a chronic relapsing progressive disease process. A position statement of the World Obesity Federation. Obes Rev. 2017;18:715–723. PubMed

Mechanick JI, Hurley DL, Garvey WT. Adiposity‐based chronic disease as a new diagnostic term: The American Association of Clinical Endocrinologists and American College of Endocrinology position statement. Endocr Pract. 2017;23:372–378. PubMed

Garvey WT, Mechanick JI. Proposal for a scientifically correct and medically actionable disease classification system (ICD) for obesity. Obesity. 2020;28:484–492. PubMed PMC

Frühbeck G, Busetto L, Dicker D, et al. The ABCD of obesity: an EASO position statement on a diagnostic term with clinical and scientific implications. Obesity facts. 2019;12:131–136. PubMed PMC

Movsisyan NK, Vinciguerra M, Lopez‐Jimenez F, et al. Kardiovize Brno 2030, a prospective cardiovascular health study in Central Europe: methods, baseline findings and future directions. Eur J Prev Cardiol. 2018;25:54–64. PubMed

Harris PA. Research electronic data capture (REDCap)‐a metadata‐driven methodology and workflow process for providing translational research informatics support. J Biomed Inf. 2009;42:377–381. PubMed PMC

Hruskova J, Maugeri A, Podroužková H, et al. Association of cardiovascular health with epicardial adipose tissue and intima media thickness: the Kardiovize study. J Clin Med. 2018;7:113. PubMed PMC

Garvey WT, Garber AJ, Mechanick JI, et al. American Association of Clinical Endocrinologists and American College of Endocrinology position statement on the 2014 advanced framework for a new diagnosis of obesity as a chronic disease. Endocr Pract. 2014;20:977–989. PubMed PMC

Williams B, Mancia G, Spiering W, et al. 2018 ESC/ESH guidelines for the management of arterial hypertension. Eur Heart J. 2018;39:3021–3104. PubMed

Mach F, Baigent C, Catapano AL, et al. 2019 ESC/EAS guidelines for the management of dyslipidaemias: lipid modification to reduce cardiovascular risk. Eur Heart J. 2020;41:111–188. PubMed

Alberti KG, Eckel RH, Grundy SM, et al. Harmonizing the metabolic syndrome. A Joint Interim statement of the International Diabetes Federation Task Force on Epidemiology and Prevention; National Heart, Lung, and Blood institute; American Heart Association; World Heart Federation; International Atherosclerosis Society; and International Association for the Study of Obesity. Circulation. 2009;120:1640–1645. PubMed

Miname M, Bensenor IM, Lotufo PA. Different methods of calculating ankle‐brachial index in mid‐elderly men and women: the Brazilian longitudinal study of adult health (ELSA‐Brasil). Braz J Med Biol Res. 2016;49:e5734. PubMed PMC

Chapter 1: definition and classification of CKD. Kidney Int Suppl. (2011) 2013;3:19–62. PubMed PMC

Basi S, Fesler P, Mimran A, Lewis JB. Microalbuminuria in type 2 diabetes and hypertension: a marker, treatment target, or innocent bystander? Diabets Care. 2008;31:S194–S201. 10.2337/dc08-s249. PubMed DOI

Wanner M, Probst‐Hensch N, Kriemler S, Meier F, Autenrieth C, Martin BW. Validation of the long international physical activity questionnaire: influence of age and language region. Prev Med Rep. 2016;3:250–256. PubMed PMC

Marques A, Peralta M, Naia A, Loureiro N, de Matos MG. Prevalence of adult overweight and obesity in 20 European countries. Eur J Publ Health. 2014;28:295–300. PubMed

Nieto‐Martinez R, Gonzalez‐Rivas JP, Ugel E, et al. Application of the AACE/ACE advanced framework for the diagnosis of obesity and cardiometabolic disease staging in a general population from 3 Regions of Venezuela: the VEMSOLS study results. Endocr Pract. 2017;24:6–13. PubMed

Hamřík Z, Sigmundová D, Pavelka J, Kalman M, Sigmund E. Trends in overweight and obesity in Czech schoolchildren from 1998 to 2014. Cent Eur J Publ Health. 2017;25(Suppl 1):S10–S14. PubMed

Najít záznam

Citační ukazatele

Nahrávání dat ...

Možnosti archivace

Nahrávání dat ...