How does the risk of cardiovascular death and cardiovascular risk factor profiles differ between socioeconomic classes in Poland: A country in transition

被引:8
|
作者
Nadrowski, Pawel [1 ]
Podolecka, Ewa [1 ]
Pajak, Andrzej [2 ]
Dorynska, Agnieszka [2 ]
Drygas, Wojciech [3 ,4 ]
Bielecki, Wojciech [4 ]
Kwasniewska, Magdalena [4 ]
Tykarski, Andrzej [5 ]
Niklas, Arkadiusz [5 ]
Zdrojewski, Tomasz [6 ]
Skrzypek, Michal [7 ]
Wojakowski, Wojciech [1 ]
Kozakiewicz, Krystyna [1 ]
机构
[1] Med Univ Silesia, Div Cardiol & Struct Heart Dis, Katowice, Poland
[2] Jagiellonian Univ, Inst Publ Hlth, Epidemiol & Populat Studies Dept, Med Coll, Krakow, Poland
[3] Inst Cardiol Cardiovasc Dis Prevent & Hlth Promot, Dept Epidemiol, Warsaw, Poland
[4] Med Univ Lodz, Dept Social & Prevent Med, Lodz, Poland
[5] Poznan Univ Med Sci, Dept Hypertens Angiol & Internal Med, Poznan, Poland
[6] Med Univ Gdansk, Dept Arterial Hypertens & Diabetol, Gdansk, Poland
[7] Med Univ Silesia, Sch Publ Hlth, Dept Biostat, Katowice, Poland
关键词
socioeconomic; education; income; cardiovascular risk factors; cardiovascular disease; EDUCATION; INEQUALITIES; DISEASE; HEALTH; ASSOCIATION; POPULATION; MORTALITY;
D O I
10.5603/CJ.a2018.0003
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Background: Socioeconomic status (SES) is an important factor for cardiovascular diseases (CVD) development. A decline in death rate from CVD among subjects with high SES is observed in developed countries. The aim of this study was to assess differences in cardiovascular risk (CV) between socio-economic classes in Poland, a country currently in transition. Methods: A sample of 15,200 people was drawn. A three stage selection was performed. Eventually, 6170 patients were examined (2013/2014). Data was collected using a questionnaire in face-to-face interviews, anthropometric data and blood tests were also obtained. Education was categorized as incomplete secondary, secondary and higher than secondary school. Monthly income per person was categorized as low (<= 1000 PLN), medium (1001-2000 PLN) and high (>= 2001 PLN). Education and income groups were analyzed by prevalence of CVD risk factors and high CVD risk (SCORE >= 5%). Results: Higher education was associated with lower prevalence of all analyzed CVD risk factors (p < 0.001), having the highest income with lower prevalence of hypertension, currently smoking, obesity and lower high density lipoprotein cholesterol. Multivariable analysis showed that frequency of high CVD risk decreased with increasing education level (OR 0.61; 95% CI 049-0.76; p < 0.01), a similar favorable impact of higher income on high CVD risk was demonstrated in the whole group (OR 0.81; 95% CI 0.67-0.99; p = 0.04). Conclusions: Socioeconomic status is an independent predictor of high CV risk of death. A favorable impact on the prevalence of high CV risk was demonstrated for education and partly for income in the whole group. It may reflect a transition being undergone in Poland, moreover, it predicts how socioeconomic factors may generate health inequalities in other transitioning countries.
引用
收藏
页码:493 / 502
页数:10
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