1. bookVolume 84 (2022): Issue 4 (January 2022)
Journal Details
License
Format
Journal
eISSN
2083-4594
First Published
24 Jan 2008
Publication timeframe
4 times per year
Languages
English
access type Open Access

Anthropometric measures and biomarkers for cardiovascular disease risk factors: evidence from a study of Polish adults participating in the cardiovascular disease prevention program (CHUK)

Published Online: 01 Jan 2022
Page range: 431 - 441
Received: 25 Aug 2021
Accepted: 08 Oct 2021
Journal Details
License
Format
Journal
eISSN
2083-4594
First Published
24 Jan 2008
Publication timeframe
4 times per year
Languages
English
Abstract

The Polish national program for the prevention of cardiovascular disease (CHUK) uses the Systematic Coronary Risk Evaluation (SCORE) index which evaluates the upcoming risk of death from cardiovascular causes for a 10 year period, based on information such as age, systolic blood pressure, cholesterol levels, smoking and gender. The aim of this study was to determine health indicators in the population enrolled in the program and identify the relationships between the cardiovascular risk factors. The data was collected from 303 participating individuals; 172 women (aged 35 to 58 years) and 131 men (aged 31 to 60 years). The SCORE index showed a statistically significant positive relationship between CVD and the male gender. The higher frequency of 3–4% and 5–9% for SCORE index in men indicates that they were at a higher risk of cardiovascular incidents. The increased risk of a cardiovascular incidence in men was associated with a higher mean arm circumference, waist circumference, BMI, systolic blood pressure, diastolic blood pressure, total cholesterol, LDL cholesterol, triglyceride and fasting glucose. HDL cholesterol and heart rate were statistically significantly higher in women. Among the study subjects, the most common parameters above the normal range were elevated LDL cholesterol and total cholesterol. The highest correlation with the SCORE index was observed for the age of the subjects, total cholesterol and LDL cholesterol, regardless of gender. The results showed that biochemical parameters and blood pressure were above normal values in almost all subjects. Men had significantly less favorable parameters compared to women of similar age range. According to the SCORE index, total cholesterol and LDL cholesterol significantly increased the risk of cardiovascular incident regardless of gender. Women were characterized by a lower risk of cardiovascular incident according to the SCORE index.

Keywords

Bangalore S, Messerli FH, Wun Ch-Ch, Zuckerman AL, DeMicco D, Kostis JB, et al. 2010. Committee and investigators. J-curve revisited: an analysis of blood pressure and cardiovascular events in the Treating to New Targets (TNT) Trial. Eur Heart J 23:2897–908.Search in Google Scholar

Bays HE, Toth PP, Penny M, Etherton K, Abate N, Aronne LJ, et al. 2013. National Health and Nutrition Examination Survey. J Clin Lipidol 7:304–83.10.1016/j.jacl.2013.04.001Search in Google Scholar

Biesalski HK, Grimm P. 2012. Nutrition. Atlas and manual. Editor of Polish version: D. Gajewska. Wroclaw: Edra Urban & Partner.Search in Google Scholar

Bray GA. 2004. Medical Consequences of Obesity. Clin Endocrinol Metab 89(6):2583–9.10.1210/jc.2004-0535Search in Google Scholar

The Cardinal Stefan Wyszyński Institute of Cardiology. 2019. Institute of Cardiology Nationwide prevention program for arteriosclerosis and heart disease through education of people with elevated cardiovascular risk factors (Kordian). The Cardinal Stefan Warsaw: Wyszyński Institute of Cardiology. Available through Institute of Cardiology website: https://programkordian.pl. [Accessed 15 Jun 2021].Search in Google Scholar

Conroy RM, Pyorala K, Fitzgerald A, et al. 2003. Estimation of ten-year risk of fatal cardiovascular disease in Europe: the SCORE project. Eur Heart J 24:987–1003.10.1016/S0195-668X(03)00114-3Search in Google Scholar

Cooper-DeHoff RM, Gong Y, Handberg EM, et al. 2010. Tight blood pressure control and cardiovascular outcomes among hypertensive patients with diabetes and coronary artery disease. JAMA 304(1):61–8.10.1001/jama.2010.884Search in Google Scholar

Dagenais GR, Yi Q, Mann JFE, Bosch J, Pogue J, Yusuf S. 2005. Prognostic impact of body weight and abdominal obesity in women and men with cardiovascular disease. Am Heart J 149(1):54–60.10.1016/j.ahj.2004.07.009Search in Google Scholar

Drzewoski J. 2011. Association of abnormal fasting blood glucose with risk of developing type 2 diabetes and cardiovascular disease. Diabetologia po Dyplomie 8(4):38–9.Search in Google Scholar

Expert Committee on the Diagnosis and Classification of Diabetes Mellitus: Report of the Expert Committee on the Diagnosis and Classification of Diabetes Mellitus. 2003. Diabetes Care 26(11):3160–7.10.2337/diacare.26.11.3160Search in Google Scholar

Gujski M, Kalbarczyk WP, Tytko Z, Scibek A (editors) 2013. Health is the political priority of the state-analysis and recommendations. Report of the Institute of Health Protection. Warszawa. ISBN 978-83-935857:1–7.Search in Google Scholar

Holman RR, Paul SK, Bethel MA et al. 2008. 10-year follow-up of intensive glucose control in type 2 diabetes. N Engl J Med. 359:1577–89.10.1056/NEJMoa0806470Search in Google Scholar

Hubert HB, Feinleib M, McNamara PM, Castelli WP. 1983. Obesity as an independent risk factor for cardiovascular disease: a 26-yearfollow-up of participants in the Framingham Heart Study. Circulation 67(5):968–76.10.1161/01.CIR.67.5.968Search in Google Scholar

Kannel WB, Wilson PW, Nam BH, D’Agostino RB. 2002. Risk stratification of obesity as a coronary risk factor. Am J Cardiol 90(7):697–701.10.1016/S0002-9149(02)02592-4Search in Google Scholar

Klein S, Romijn, JA. 2008. Obesity. In: HM Kronenberg, editor. Williams Textbook of Endocrinology. 11th edition. Philadelphia: Saunders an imprint of Elsevier Inc. Elsevier. 1563–75.Search in Google Scholar

Królikowska S. 2011. Inequalities in health status between women and men in the context of biological and socio-cultural gender. CEJSH, Acta Universitatis Lodziensis. Folia Sociologica. 39:33–5.Search in Google Scholar

Lewington S, Clarke R, Qizilbash N, Peto R, Collins R. 2002. Age-specific relevance of usual blood pressure to vascular mortality: a meta-analysis of individual data for one million adults in 61 prospective studies. Lancet 360(9349):1903–13.10.1016/S0140-6736(02)11911-8Search in Google Scholar

Matyjaszczyk P. 2013. Risk factors of cardiovascular diseases based on studies of patients of POZ clinics. Poznan: Doctoral dissertation.Search in Google Scholar

Minister of Health policy. 2017. Program for Prevention and Treatment of Cardiovascular Diseases POLKARD for the years 2017–2020. Warsaw: Minister of Health policy. Available at: https://www.gov.pl/web/zdrowie/program-profilaktyki-i-lec-zenia-chorob-ukladu-sercowo-naczynio-wego-polkard-na-lata-2017-2020. [Accessed 15 Jun 2021].Search in Google Scholar

Modan M, Halkin H, Almog S, Lusky A, Eshkol A, Shefi M, et al.1985. Hyperinsulinemia: a link between hyper-tension, obesity and glucose intolerance. J Clin Invest 75:807–17.10.1172/JCI1117764236083884667Search in Google Scholar

Molisz A, Faściszewska M, Wożakowska-Kapłon B, Siebert J. 2015. Pulse wave velocity – reference values and usage pulse wave velocity – reference range and usage. Folia Cardiologica 10(4):268–74.10.5603/FC.2015.0048Search in Google Scholar

Nathan DM, Genuth S, Lachin J, Cleary P, Crofford O, Davis M, et al.1993. The effect of intensive treatment of diabetes on the development and progression of long-term complications in insulin-dependent diabetes mellitus. The Diabetes Control and Complications Trial Research Group. N Engl J Med 329(14):977–86.10.1056/NEJM1993093032914018366922Search in Google Scholar

NFZ. 2019. NFZ Hypertension Report. Warsaw: NFZ. Available at: https://www.nfz. gov.pl/aktualnosci/aktualnosci-centrali/raport-nfz-nadcisnienie-tetnicze,7352.html. [Accessed 10 Nov 2020].Search in Google Scholar

Piepoli MS, Hoes AW, Agewall S, Albus C, Brontos C, Catapano AL, et al. 2016. ESC guidelines for cardiovascular disease prevention in clinical practice 2016. Cardiology Poland 74(9):821–936.Search in Google Scholar

Rashid MN, Fuentes F, Touchon RC, Wehner PS. 2003. Obesity and the risk for cardiovascular disease. Prev Cardiol 6(1):42–7.10.1111/j.1520-037X.2003.01358.x12624562Search in Google Scholar

RinkŨnienę E, Laucevičius A, Petrulionienę Ž, DženkevičiŨtę V, Kutkienę S, Skujaitę A, Kasiulevičius V. 2015. The prevalence of dislipidemia and its relation to other risk factors: a nationwide survey of Lithuania. Clinical Lipidology 10(3):219–25.10.2217/clp.15.16Search in Google Scholar

Stupnicki R, Tomaszewski P. 2016. Body mass index versus body fat in adults. Hygeia Public Health 51(4):335–8.Search in Google Scholar

Tomasik T. 2014. Prevention of cardiovascular disease in primary care. Public Health and Management 12(4):338–51.Search in Google Scholar

Whitworth JA. 2003. World Health Organization (WHO)/International Society of Hypertension (ISH) statement on management of hypertension. J Hypertens 21(11):1983–92.10.1097/00004872-200311000-0000214597836Search in Google Scholar

Wolk R, Berger P, Lennon RJ, Brilakis ES, Somers VK. 2003. Body mass index: a risk factor for unstable angina and myocardial infarction in patients with angiographically confirmed coronary artery disease. Circulation 108:2206–11.10.1161/01.CIR.0000095270.85646.E814557360Search in Google Scholar

Wolk R, Shamsuzzaman AS, Somers VK. 2003. Obesity, sleep apnea, and hypertension. Hypertension 42(6):1067–74.10.1161/01.HYP.0000101686.98973.A314610096Search in Google Scholar

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