RESEARCH PAPER
An assessment of health effects of a cardiological prophylaxis programme in a local community with the use of the SCORE algorithm
More details
Hide details
1
Epidemiology and Biostatistics Department, Chair of Social and Preventive Medicine, Medical University, Łódź, Poland
2
Department of Social Medicine, Chair of Social and Preventive Medicine, Medical University, Łódź, Poland
3
Department for Health Problems of Ageing, Institute of Rural Health, Lublin, Poland
Ann Agric Environ Med. 2013;20(4):794-799
KEYWORDS
ABSTRACT
Introduction: In 2009, the SDR due to cardiovascular diseases was 356.3 per 100,000 people in Poland. The Prophylaxis and Early Detection of Cardiovascular Diseases Programme (PEDCCP) aimed at decreasing mortality caused by cardiovascular diseases (CVD) in Poland by 25%. The global risk of SCORE (European Systematic Coronary Risk Evaluation) has become a reason for implementing pro-health recommendations in order to eliminate risk factors in CVD.
Methods: The presented observation study encompassed 458 participants of the PEDCCP from 2009 – 2011. The subjects received two arterial blood pressure tests as well as anthropometric measurements. Also, TC, LDL, HDL and TG levels were measured in laboratory tests. Statistical analysis included elements of descriptive and analytical statistics, with bivariate and multivariate logistic regression (odds ratios with 95% CIs).
Results: A positive change in SCORE was observed in 13.3% of the subjects. It was higher in almost every third subject of the authors’ own study (29.5%). Mostly gender and age contributed to the change in SCORE, but regular glucose levels and no tendency to compete were also relevant.
Conclusions: There is a need to continue such prophylaxis programmes in primary health care to better estimate the risk of mortality due to CVD in local communities.
REFERENCES (31)
1.
Allander S, Scarborough P, Rayner M, et al. European cardiovascular diseases statistics. British Heart Foundation Health Promotion Research Group Department of Public Health, University of Oxford. 2008: 106.
2.
Brown AD, Garber AM. Cost effectiveness of coronary heart disease prevention strategies in adults. Pharmacoeconomics. 1998; 14: 27–48.
3.
Brown JB, Nichols GA, Glauber HS, Bakst AW. Type 2 diabetes: incremental medical care costs during the first 8 years after diagnosis. Diab Care. 1999; 22: 1116–1124.
4.
Maniecka-Bryła I, Pikala M, Bryła M. Health inequalities among rural and urban inhabitants of Łódź Province, Poland. Ann Agric Environ Med. 2012; 19: 723–731.
5.
Islami F, Mańczuk M, Vedanthan R, Vatten L, Polewczyk A, Fuster F, et al. A cross-sectional study of cardiovascular disease and associated factors. Ann Agric Environ Med. 2011; 18: 255–259.
7.
Maniecka-Bryła I, Pikala M, Bryła M. Life years lost due to cardiovascular diseases. Kardiol Pol. 2013; 71: 1065-1072.
8.
Zatoński W, Zatoński M, Przewoźniak K. Health improvement in Poland is contingent on continued extensive tobacco control measures. Ann Agric Environ Med. 2013; 20: 405–411.
9.
Baghaei A, Sarrafzadegan N, Rabiei K, et al. How effective are strategies for non-communicable disease prevention and control in a high risk population in a developing country? Isfahan Healthy Heart Programme. Arch Med Sci. 2010; 6: 24–31.
10.
Kolovou G, Marvaki A, Bilianou H. One more look at guidelines for primary and secondary prevention of cardiovascular disease in women. Arch Med Sci. 2011; 7: 747–755.
12.
Pytlak A, Piotrowski W. 10-year risk of fatal cardiovascular disease. Relationship with medical care. Pol Przegl Kardiol. 2005; 7: 299–305 (in Polish).
13.
Conroya RM, Fitzgeralda AP. Estimation of ten-year risk of fatal cardiovascular disease in Europe: the SCORE project. Eur Heart J. 2003; 24: 987–1003.
14.
Gray LJ, Tringham JR, Davies MJ, et al. Screening for type 2 diabetes in a multiethnic setting using known risk factors to identify those at high risk: a cross-sectional study. Vasc Health Risk Manag. 2010; 6: 837–842.
15.
Huerta JM, Tormo M, et al. Cardiovascular risk estimated after 13 years of follow-up in a low-incidence Mediterranean region with high prevalence of cardiovascular risk factors. Public Health. 2010; 10: 640–650.
16.
Welschen L, Bot S, Dekker JM. The @RISK Study: Risk communication for patients with type 2 diabetes: design of a randomised controlled trial. Public Health. 2010; 10: 457–466.
17.
Zeber J, Parchman ML. Cardiovascular disease in type 2 diabetes: Attributable risk due to modifiable risk factors. Can Fam Physician. 2010; 56: 302–307.
18.
Juutilainen A, Lehto S, et al. Gender difference in the impast of type 2 diabetes on coronary heart disease risk.Diab Care – Polish edition. 2005; 2: 14–20 (in Polish).
19.
Laaksonen M, Mcalister A, Laatikainen T, et al. Do health behaviour and psychosocial risk factors explain the European East-West gap in the health status? Eur J Public Health. 2001; 11: 65–73.
20.
Song YM, Ferrer RL, Cho SI, Sung J, Ebrahim S, et al. Socioeconomic status and cardiovascular disease among men: the Korean national health service prospective cohort study. Am J Public Health. 2006; 96: 152–159.
21.
De Miguel-Díez J, Carrasco-Garrido P, Rejas-Gutierrez J, et al. The influence of heart disease on characteristics, quality of life, use of health resources, and costs of COPD in primary care settings. Cardiovasc Dis. 2010; 10: 8–17.
22.
Uitewaal PJM, Manna DR, Bruijnzeels MA, et al. Prevalence of type 2 diabetes mellitus, other cardiovascular risk factors, and cardiovascular disease in Turkish and Moroccan immigrants in North West Europe: a systematic review. Prev Med. 2004; 39: 1068–1076.
23.
Dhaliwal SS, Welborn TA. Central obesity and cigarette smoking are key determinants of cardiovascular disease deaths in Australia: A public health perspective. Prev Med. 2009; 49: 153–157.
24.
Feinstein M, Liu K, Ning H, et al. Incident obesity and cardiovascular risk factors between young adulthood and middle age by religious involvement: The Coronary Artery Risk Development in Young Adults (CARDIA) Study. Prev Med. 2012; 54: 117–121.
25.
Sethi A, Arora RA. Ambulatory blood pressure as a predictor of cardiovascular risk. Arch Med Sci. 2009; 5: 3–9.
26.
Rywik SL, Davis CE, Pajak A, et al. Poland and U.S. collaborative study on cardiovascular epidemiology hypertension in the community: prevalence, awareness, treatment, and control of hypertension in the Pol-MONICA Project and the U.S. Atherosclerosis Risk in Communities Study. Ann Epidemiol. 1998; 8: 3–13.
27.
Hu D, Hannah J, Gray RS, et al. Effects of obesity and body fat distribution on lipids and lipoproteins in nondiabetic American Indians: The Strong Heart Study. Obes Res. 2000; 8: 411–421.
28.
Skoczyńska A, Wojakowska A, Turczyn B, Zatońska K, Wołyniec M, Regulska-Ilow B, et al. Ann Agric Environ Med. 2013; 20: 317–324.
29.
Seidell JC, Pérusse L, Després JP, et al. Waist and hip circumferences have independent and opposite effects on cardiovascular disease risk factors: the Quebec Family Study. Am J Clin Nutr. 2001; 74: 315–321.
30.
Athyros VG, Giouleme O, Ganotakis ES, et al. Safety and impact on cardiovascular events of long-term multifactorial treatment in patients with metabolic syndrome and abnormal liver function tests: a post hoc analysis of the randomised ATTEMPT study. Arch Med Sci. 2011; 7: 796–805.
31.
Ghandehari H, Le V, Kamal-Bahl S. Abdominal obesity and the spectrum of global cardiometabolic risks in US adults. Int J Obesity. 2009; 33: 239–248.