Trend analysis of cardiovascular disease mortality in the population aged 65 and over in Poland: results from a registry study (2000-2022)

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To assess trends in cardiovascular mortality among people aged 65 years and older in Poland in the period 2000–2022. Methods . Mortality rates for women and men were analysed separately in two groups: early old age (65–74 years) and late old age (75+). The analysis of time trends has been carried out with joinpoint models. The Annual Percentage Change (APC) and the Average Annual Percentage Change (AAPC) and standardized death rates (SDRs) were calculated. Results . In 2000, cardiovascular diseases (CVD) were responsible for 45.6% of deaths in men in early old age (65–74 years) and for 56.2% of deaths in men in late old age (75 years or older). In the female group, these values were 48.4% and 63.3%, respectively. In 2022, the proportion of deaths due to cardiovascular diseases decreased in all groups respectively to 31.7%, 39.7%, 26.6% and 47.4%. SDRs also decreased: from 2069.8 to 1109.4 per 100,000 among men aged 65–74; from 7928.6 to 4326.7 per 100,000 among men 75+. Among women in early and late olde age rates decreased respectively from 1027.3 to 427.3 and from 6452.0 to 3631.1 per 100,000. Conclusions. CVD still represents a significant health risk, particularly in the oldest people. cardiovascular diseases ageing mortality trends Figures Figure 1 Background In all countries of the European Union, the number of people aged 65 and over is rapidly increasing. In 2023, this group made up 21.3% of the general population. It is estimated that by 2100, the value will have been 32.5%, which means that the number of senior citizens will have increased from 94 million to 136 million [ 1 ]. The demographic structure of societies determines the epidemiological profile of the population, the structure of health problems and the demand for particular medical services. Cardiovascular diseases are the leading cause of mortality among the elderly in Poland and worldwide. They account for more than 50% of all deaths in this subpopulation [ 2 ]. Age is a separate and unavoidable risk factor that reduces the ability of the cardiovascular system to perform at its best. According to the American Heart Association, nearly 70% of men and women aged 60–79 years have some form of cardiovascular disease. In 2019, the incidence of CVD in people aged 60–80 years was usually 77–80%, and in patients older than 80 years of age, the incidence was above 85% [ 3 ]. Among the elderly, the risk of hypertension, ischaemic heart disease, heart failure and stroke increases due to progressive vascular atherosclerosis, decreased vascular wall elasticity and comorbidities such as diabetes or chronic kidney disease [ 4 ]. It is estimated that 75% of people over 65 years of age suffer from hypertension, about 40% have ischemic heart disease (IHD), about 15% have heart failure and 10–20% suffer from atrial fibrillation [ 5 , 6 ]. In 2020, 84.9% of all deaths registered in the EU population occurred in people aged 65 years and older. Just over one-third (34.7%) of all deaths noted in the EU elderly population in 2021 was caused by diseases of the circulatory system. Nearly one in three deaths (i.e. 11.2% of all deaths) was caused by ischaemic heart disease [ 7 ]. The mortality rate due to diseases of the circulatory system was higher among men than women, i.e. 670 vs 391 per 100,000 population, respectively [ 8 ]. The current demographic situation and projected changes in the age distribution of the population translate into an increasing burden manifesting with mortality and generating socio-economic costs related to CVD. The aim of this study was to assess trends in cardiovascular mortality among people aged 65 years and older in Poland in the period 2000–2022. Methods The database containing information on all deaths of Polish residents aged 65 and over in the years 2000–2022, obtained from the Central Statistical Office, was the research material. The present study involves the assessment of mortality trends due to cardiovascular diseases and distinguishes three major groups of causes in this class: ischemic heart diseases (I20-I25), cerebrovascular diseases (I60-I69) and diseases of arteries, arterioles and capillaries (I70-I79). Considering the fact that various health problems are related to the gender and age of seniors, mortality rates for women and men were analysed separately in two age groups: early old age (65–74 years) and late old age (75 years and over). Proportional mortality rates were calculated for the first and last year of the analysed period to assess changes in the pattern of deaths. Standardised Death Rates (SDRs) were also calculated. The standardisation procedure was performed using the direct method, according to the European Standard Population updated in 2012 [ 9 ]. A time trend analysis of SDRs was performed using Joinpoint models and the Joinpoint Regression programme [ 10 ]. The authors calculated annual percentage changes (APCs) of standardised death rates for each segment of broken lines and the average annual percentage changes (AAPCs) for the entire analysed period with the corresponding 95% confidence intervals (CIs). All methods were performed in accordance with the relevant guidelines and regulations. The study was based solely on secondary data obtained from death certificates. No procedures were performed on human participants and no intervention was applied. The study was approved by Bioethics Committee of the Medical University of Lodz, No. RNN/422/12/KB. Written informed consent for participation was not required for this study in accordance with the national legislation and the institutional requirements. Results In 2000, cardiovascular diseases were responsible for 45.6% of deaths in men in early old age (65–74 years) and for 56.2% of deaths in men in late old age (75 years or older). In the female group, these values were 48.4% and 63.3%, respectively. In 2022, the proportion of deaths due to cardiovascular diseases decreased in both sex and age groups. In the group of men in early old age, deaths due to this class of causes accounted for 31.7% and for late old age the value was 39.7%. In the female group, the percentage of deaths was 26.6 and 47.4, respectively. In the class of cardiovascular diseases, the most common groups of causes of death were, ischaemic heart disease, cerebrovascular diseases and diseases of the arteries, arterioles and capillaries. It should be noted that a decrease in mortality rates was observed for all the three groups of causes in both sex and age groups except for ischaemic heart disease in the male and female late old age groups. SDRs due to diseases of the circulatory system decreased in the period 2000–2022 in all the four analysed gender and age groups (Fig. 1 ). The most rapid decline was noted in the early old age group of women. In the year 2000, SDR due to cardiovascular diseases was 1027.3 per 100,000 women and in 2022, it decreased to 427.3 (Table 1 ). The Average Annual Percentage Change (AAPC) over the entire observed period was − 3.7%. Between 2000 and 2007, the Annual Percentage Change (APC) was − 5.5% and it decreased to -2.9% between 2007 and 2022 (Table 3 ). The lowest SDR values in the cardiovascular disease class in women aged 65–74 years, and at the same time the most favourable change trends, were observed for mortality due to diseases of arteries, arterioles and capillaries. Table 1 Standardized death rates (SDR) from the leading causes of death within cardiovascular diseases among women aged 65–74 years and 75 years and older in Poland, 2000–2022 Year Diseases of the circulatory system (I00-I99) Ischemic heart diseases (I20-I25) Cerebrovascular diseases (I60-I69) Diseases of arteries, arterioles and capillaries (I70-I79) 65–74 75+ 65–74 75+ 65–74 75+ 65–74 75+ 2000 1027.3 6452.0 333.3 1559.6 300.9 1490.6 118.7 1773.3 2001 960.6 6289.5 308.1 1487.4 286.7 1520.4 106.4 1704.6 2002 885.4 6078.7 278.1 1428.7 266.0 1458.7 103.1 1676.4 2003 851.7 6205.5 264.4 1444.0 253.1 1401.4 107.9 1831.3 2004 803.3 5809.0 247.5 1335.4 229.0 1340.6 105.3 1662.6 2005 757.6 5618.4 228.1 1359.5 219.6 1273.3 97.9 1583.4 2006 725.2 5404.6 219.9 1308.2 204.4 1213.2 90.1 1461.4 2007 694.6 5305.3 208.7 1184.5 187.4 1150.5 90.3 1545.8 2008 661.9 5147.9 194.9 1215.7 178.3 1085.8 83.8 1436.1 2009 651.2 5149.2 175.4 1178.7 172.0 1029.2 85.0 1363.5 2010 624.0 4820.7 167.3 1052.3 164.1 982.0 81.6 1245.6 2011 584.5 4551.4 164.7 1054.5 154.5 965.5 53.9 1018.3 2012 601.2 4592.3 160.7 945.4 147.9 898.0 62.5 1173.0 2013 584.3 4503.7 151.0 826.1 138.1 839.0 66.8 1317.3 2014 541.5 4173.5 129.9 758.1 127.0 768.8 62.6 1257.1 2015 552.0 4356.4 128.4 763.9 114.2 746.5 60.7 1075.2 2016 495.0 3961.6 125.7 754.2 109.5 675.3 57.3 1059.1 2017 473.0 3939.8 134.0 898.3 110.3 696.1 58.0 1074.4 2018 474.7 3852.8 131.9 843.2 105.8 669.7 60.3 1052.8 2018 471.5 3535.7 139.2 866.7 100.8 627.5 53.7 872.8 2020 490.2 3823.5 156.4 1038.3 110.5 704.4 51.2 952.8 2021 490.8 4044.0 183.4 1575.0 105.7 684.3 56.4 722.9 2022 427.3 3631.1 151.8 1407.2 101.3 715.4 36.5 436.5 Table 3 Time trends of standardized death rates (SDR) for the leading causes of death within cardiovascular diseases among women and men aged 65–74 years and 75 years and older in Poland, 2000–2022 – a joinpoint regression analysis Causes of death Number of joinpoints Years APC (95% CI) AAPC (95% CI) Women aged 65–74 Diseases of the circulatory system (I00-I99) : 1 2000–2007 -5.5* (-6.9; -4.2) -3.7* (-4.2; -3.2) 2007–2022 -2.9* (-3.3; -2.4) Ischemic heart disease (I20-I25) 1 2000–2016 -5.8* (-6.4; -5.3) -2.8* (-3.5; -2.1) 2016–2022 5.7* (3.0; 8.5) Cerebrovascular diseases (I60-I69) 1 2000–2016 -6.0* (-6.3; -5.8) -4.8* (-5.2; -4.4) 2016–2022 -1.3 (-2.6; 0.1) Diseases of arteries, arterioles and capillaries (I70-I79) 0 2000–2022 -4.2* (-4.9; -3.6) 2008–2022 6.8* (5.5; 8.1) Women aged 75+ Diseases of the circulatory system (I00-I99) : 0 2000–2022 -2.7* (-2.9; -2.5) Ischemic heart disease (I20-I25) 2 2000–2009 -3.2* (-5.4; -0.9) -0.3 (-2.2; 1.6) 2009–2016 -6.9* (-10.8; -2.8) 2016–2022 12.8* (8.0; 17.8) Cerebrovascular diseases (I60-I69) 1 2000–2018 -4.9* (-5.2; -4.6) -3.7* (-4.2; -3.1) 2018–2022 2.2 (-0.9; 5.4) Diseases of arteries, arterioles and capillaries (I70-I79) 1 2000–2020 -3.3* (-3.9; -2.7) -6.1* (-8.0; -4.2) 2020–2022 -30.2* (-44.5; -12.2) Men aged 65–74 Diseases of the circulatory system (I00-I99) : 1 2000–2017 -3.1* (-3.4; -2.8) -2.4* (-2.9; -2.0) 2017–2022 -0.1 (-2.1; 1.9) Ischemic heart disease (I20-I25) 1 2000–2016 -4.9* (-5.4; -4.5) -2.3* (-2.9; -1.7) 2016–2022 5.0* (2.8; 7.2) Cerebrovascular diseases (I60-I69) 1 2000–2016 -4.6* (-4.9; -4.3) -3.4* (-3.7; -3.0) 2016–2022 -0.1 (-1.4; 1.2) Diseases of arteries, arterioles and capillaries (I70-I79) 0 2000–2022 -3.5* (-4.1; -2.9) Men aged 75+ Diseases of the circulatory system (I00-I99) : 0 2000–2022 -2.6* (-2.9; -2.4) Ischemic heart disease (I20-I25) 1 2000–2016 -4.3* (-5.1; -3.4) -0.9* (-2.0; 0.3) 2016–2022 8.7* (4.6; 13.0) Cerebrovascular diseases (I60-I69) 1 2000–2018 -4.7* (-5.0; -4.4) -3.5* (-4.1; -2.9) 2018–2022 2.2 (-1.1; 5.6) Diseases of arteries, arterioles and capillaries (I70-I79) 1 2000–2020 -3.4* (-4.2; -3.0) -6.2* (-8.0; -4.3) 2020–2022 -29.7* (-43.8; -12.0; 8.1) *p < 0.05 SDRs due to this group of causes declined between 2000 and 2022 at a constant annual rate of -4.2% (p < 0.05) from 118.7 to 36.5 per 100,000 women. A decline in SDR values was also observed for cerebrovascular diseases. After a rapid decline between the years 2000 and 2016, when the rate was − 6.0%, it got stable and reached the value of -1.3% (p > 0.05) for this group of causes of death. In consequence, SDR decreased from 300.9 in 2000 to 101.3 in 2022. The least favourable changes among women in early old age were observed for ischaemic heart disease. Between 2000 and 2016, SDR decreased from 333.3 to 125.7 (APC=-5.8%, p < 0.05); after 2016, it started to increase at a rate of 5.7% (p < 0.05), and in 2022 it reached the value of 151.8 per 100,000 women (Table 1 , Table 3 ). In the group of women aged 75 years and older, SDRs due to cardiovascular disease decreased from 6452.0 per 100,000 women in 2000 to 3631.1 in 2022 (Fig. 1 , Table 1 ). APC was − 2.7% (p < 0.05) (Table 2 ). In this class of mortality causes among women in late old age, the highest SDR values observed by the year 2019 referred to diseases of arteries, arterioles and capillaries. Table 2 Standardized death rates (SDR) from the leading causes of death within cardiovascular diseases among men aged 65–74 years and 75 years and older in Poland, 2000–2022 Year Diseases of the circulatory system (I00-I99) Ischemic heart diseases (I20-I25) Cerebrovascular diseases (I60-I69) Diseases of arteries, arterioles and capillaries (I70-I79) 65–74 75+ 65–74 75+ 65–74 75+ 65–74 75+ 2000 2069.8 7928.6 812.6 2174.9 467.3 1659.4 257.5 2055.1 2001 1973.9 7658.6 758.9 2080.0 459.1 1626.8 235.5 1938.2 2002 1836.1 7337.0 720.9 1990.4 421.4 1563.7 228.3 1896.6 2003 1826.9 7520.8 694.0 2044.5 412.6 1539.4 258.0 2076.5 2004 1734.3 6963.9 650.1 1875.8 391.5 1417.0 251.9 1908.3 2005 1664.9 6667.3 616.4 1849.0 378.4 1343.7 233.3 1800.7 2006 1620.2 6449.4 604.3 1813.4 358.2 1303.9 220.2 1634.8 2007 1584.3 6336.0 585.1 1658.9 341.1 1257.6 217.8 1740.9 2008 1539.9 6210.0 545.4 1707.1 333.3 1183.9 212.0 1605.6 2009 1534.9 6304.6 509.2 1682.3 312.9 1147.6 213.3 1552.7 2010 1456.6 5967.8 500.7 1534.8 299.0 1082.8 187.5 1454.8 2011 1363.3 5648.6 475.8 1551.5 287.1 1038.1 144.9 1210.8 2012 1404.1 5737.3 461.1 1405.5 274.2 997.6 156.6 1376.9 2013 1358.5 5555.0 414.5 1236.3 258.1 903.5 162.5 1543.7 2014 1271.5 5159.0 376.5 1146.7 240.7 829.2 158.8 1440.4 2015 1327.6 5304.0 385.0 1134.2 233.6 808.4 148.0 1198.7 2016 1183.5 4857.5 361.1 1138.4 225.7 759.9 153.6 1174.2 2017 1140.4 4811.6 387.6 1299.8 227.9 799.3 153.2 1173.0 2018 1146.9 4651.9 369.5 1241.8 216.3 759.5 154.0 1134.0 2018 1152.0 4323.8 388.3 1252.0 211.7 696.9 137.7 938.0 2020 1219.0 4814.1 450.5 1525.7 240.3 801.7 136.4 1061.0 2021 1204.2 4908.5 508.1 2067.1 220.0 778.5 143.9 829.2 2022 1109.4 4326.7 459.0 1810.9 223.1 781.8 98.9 486.8 In 2000, the SDR value due to diseases of arteries, arterioles and capillaries was 1773.3 and decreased to 436.5 in 2022 (AAPC=-6.1%). However, a substantial change in the rate of decline that occurred in the year 2020 is worth noting. APC between 2000 and 2020 was − 3.3% (p < 0.05), while between 2020 and 2022, it was − 30.2% (p < 0.05). As a result of these changes, IHD became a cause of mortality with the highest SDR values in the class of cardiovascular diseases in the late old age female group. For ischaemic heart disease, the rate of decline in the SDR value between 2000 and 2009 was − 3.2% (p < 0.05), and between 2009 and 2016, the rate of decline increased to -6.9% (p < 0.05). After 2016, SDR began to increase at a rapid rate of 12.8% (p < 0.05). In consequence, SDR in 2021 was 1575.0. It was higher than in the year 2000, when it was 1559.6. With regards to cerebrovascular diseases, a decrease in the SDR value was observed between 2000 and 2018 (APC=-4.9%, p 0.05). In consequence, SDR values in the years 2000 and 2022 were 1490.6 and 715.4, respectively (Table 1 , Table 3 ). Among men aged 65–74 years, cardiovascular mortality rates decreased between 2000 and 2017 from 2069.8 to 1140.4 per 100,000 at a rate of -3.1% (p 0.05). By far, the highest values of mortality rates in this class of causes and an unfavourable increase in SDR values since 2016 were observed for IHD. Between 2000 and 2016, SDRs decreased from 812.6 to 361.1 per 100,000 men (APC=-4.9%, p < 0.05). After 2016, SDRs began to increase at a rate of 5% (p < 0.05), reaching a value of 459.0 in 2022.The second highest death rates due to cardiovascular diseases among men in early old age related to cerebrovascular diseases. ischaemic heart disease, decreased SDRs were observed in the period 2000–2016 when the annual rate of decline was − 4.6% (p 0.05). The lowest values of death rates in the cardiovascular disease class among men in early old age and a steady decline at an annual rate of -3.5% were noted for diseases of arteries, arterioles and capillaries. SDRs decreased from 257.5 per 100,000 in 2000 to 98.9 in 2022 (Tables 2 , Table 3 ). Among men aged 75 years and older, cardiovascular mortality rates were the highest of the four subgroups analysed by gender and age, i.e. 7928.6 in 2000 and 4326.7 in 2022 (APC=-2.6%, p < 0.05) (Tables 2 , Table 3 , Fig. 1 ). Similarly to the group of women in late old age, the most favourable changes related to mortality due to diseases of arteries, arterioles and capillaries. Between 2000 and 2020, SDRs due to this group of causes decreased at a rate of -3.4% (p < 0.05), whereas between 2020 and 2022 the decline rate was − 29.7% (p < 0.05). As a result, death rates decreased from 2055.1 in the year 2000 to 486.8 in the year 2022. SDRs for IHD decreased from 2174.9 in 2000 to 1138.4 in 2016 (APC=-4.3%, p < 0.05). From 2016 onwards, they began to increase at a rate of 8.7% (p < 0.05), and in 2022, they reached a value of 1810.9 per 100,000 women. Death rates in men aged 75 years or older, who died due to cerebrovascular diseases, decreased from 1659.4 in 2000 to 696.9 in 2019 (APC=-4.7%, p < 0.05). The decline was followed by a statistically insignificant increase after 2019 (Table 2 , Table 3 ). Discussion Historical data indicate that decreasing trends in mortality due to cardiovascular diseases began in Poland in 1991 and was the strongest in the 1990s. After this time, it slowed down [ 18 ]. Despite these favourable declining trends, SDRs due to cardiovascular diseases are around 40% higher than the average value for European men and women [ 12 ]. According to estimates by Bandosz et al., based on the IMPACT coronary heart disease (CHD) mortality model, about 54% reduction of CHD deaths can be attributed to favourable changes in risk factors, and about 37% – to advanced treatment methods [ 13 ]. The political transformation which occurred in Poland after the year 1989 had a significant impact on lifestyle, including a change in dietary habits of Polish society. Mean cholesterol levels noticeably dropped (by 0.4 mmol/l). Changes in smoking, especially in men, were also observed. Smoking prevalence fell by 15.7%. The mean systolic blood pressure decreased by 2.7 mm Hg in men and by 5.2 mm Hg in women. People more often engaged in leisure time physical activity [ 13 ]. However, these relatively favourable patterns were not long-lasting. Results of the National Multicentre Health Survey WOBASZ II (2013–2014) clearly indicate that Poles’ dietary habits are negative. People are not really physically active and prevalence of obesity and overweight is still high [ 14 – 16 ]. This fact is reflected in results of the present study in relation to the leading group of mortality causes in the analysed class of cardiovascular diseases. Indeed, the favourable trend got reversed in 2016 and SDRs due to IHD in older people in all particular age groups of both men and women increased. Studies show that regular physical activity is the cornerstone of preventive and therapeutic interventions in older people [ 17 , 18 ]. In seniors with ischaemic heart disease, adequate physical exercise effectively slows the progression of the disease and reduces the risk of acute cardiac incidents, commonly referred to as myocardial infarctions, thereby reducing the risk of death [ 19 ]. Although the proportion of physically active Poles, aged 60–69 years, who follow recommendations regarding the amount of physical activity required to stay healthy increased from 31.7% in 2014 to 46.3% in 2018, age is the key determinant of these trends [ 20 ]. The process of ageing is associated with a gradual reduction in both the time spent on physical activity and the intensity of this activity [ 21 ]. Decreased levels of physical activity and functional fitness result from reduced upper and lower limb muscle strength and changed levels of body fat, impaired flexibility, agility and endurance [ 22 ]. A 2018 report of the Central Statistical Office clearly confirms that older Poles are less active. On average, 46.4% of the Polish population get engaged in sport and recreation. In the group of seniors, only 25.1% are physically active and only 10.6% get engaged in such activity regularly/frequently [ 23 ]. The negative trend in ischaemic heart disease mortality in the elderly population observed in recent years can also be linked to a significant increase in the prevalence of diabetes. The average global trend in diabetes incidence from 1990 to 2019 was upward, with an annual increase of 3.73 cases per 100,000 population. The trends in diabetes observed in Poland are not favorable, either. Results of a study on changes in the pattern of mortality in the Polish population due to diabetes revealed increased SDRs for both types of diabetes in the period 2000–2022 [ 24 ]. The risk of death due to ischaemic heart disease also increases in people with excess body weight. Simultaneously, an increase in the number of overweight and obese people has been observed in Poland for years. According to data of the Global Obesity Observatory, between 2000 and 2020, the proportion of people with excess body weight increased from 40% to 50% [ 25 ]. In 2019, the proportion of overweight adults in the EU-27 was 52.7%, whereas in older adults (65 years and older), the proportion exceeded 60% [ 26 ]. Research indicates that there is a significant association between IHD mortality and the prevalence of metabolic syndrome (MS) [ 27 ]. In Poland, in the decade between the WOBASZ I (2003–2005) and WOBASZ II (2013–2014) representative epidemiological studies, the prevalence of MS in adults aged 20–74 years significantly increased by 3.3% in women (26.6% vs 29.9%; p < 0.001) and by 8.8% in men (30.7% vs 39.4%; p < 0.001) [ 28 ]. In most developed countries, mortality due to cardiovascular disease has been declining over the past few decades [ 29 ], which was confirmed in our study. In the USA, mortality rates have been dropping for several decades in both men and women. This trend has been observed in almost all regions of the world, especially in North America, Western Europe, Japan, Australia and New Zealand. In some countries, such as the Netherlands and the UK, the decrease has been significant, i.e. 70% and 60%, respectively. It has been noted that reduced mortality rates are a consequence of reduced major risk factors such as high cholesterol, abnormal blood pressure and smoking, which implies that primary prevention may have considerably changed this trend [ 30 ]. In Sweden, the decrease is explained by a change in diet, while in Japan – by a decrease in smoking prevalence. Death rates due to cardiovascular diseases have also significantly declined in Australia, which is most likely contributed by the implementation of increasingly advanced cardiovascular treatments [ 31 ]. In the elderly, improvements in hospital care have been the main factor which contributes to a reduction in the number of deaths due to cardiovascular diseases. Advances in diagnosing cardiovascular diseases at an early stage may have contributed to delayed recurrences and thus deaths [ 32 ]. At the same time, in the light of apparent global ageing process, the health and financial burden of cardiovascular diseases continues to increase, posing a powerful challenge to the health care system [ 33 ]. Most of the total expenditure on cardiovascular diseases, i.e. almost three fourths, is assigned for people aged 65 years or older [ 34 ]. The process of ageing is increasingly associated with challenges for the health care system, both in organisational and financial aspects [ 35 , 36 ]. An increasing demand for specialised care, particularly cardiological care, requires not only adequate funding but also effective medical resource management strategies. It is becoming crucial to adapt hospital infrastructure and the model of care for seniors in order to cope with rising treatment costs and make the healthcare system efficient. Further investment is needed in cardiovascular disease prevention and health education because it may enable to reduce hospital admissions, thereby reducing the number of complications and considerably relieving the burden on the health care system in the long term [ 37 , 38 ]. Conclusions Our study is an extensive assessment of the burden of CVD in older adults. Between 2000 and 2022, mortality due to cardiovascular diseases significantly decreased in all analysed age and gender groups, with the exception of IHD. The greatest reduction was observed among women aged 65–74 years. Despite the positive trends, cardiovascular disease still represents a significant health risk, particularly in the oldest people. This calls for continued preventive action and systemic interventions to monitor risk factors. It is necessary to constantly monitor trends and adopt health strategies which must be adequate and adjusted to changing needs of the senior population. Declarations Use of artificial intelligence (AI) tools AI tools were not used in this study or for writing the paper. Conflict of interest The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest. Consent for publication Not applicable. Funding This research was funded by Medical University of Lodz, Department of Epidemiology and Biostatistics (project no 503/6-029-07/503-61-001-19-00). Author Contribution Conceptualization: [Małgorzata Pikala, Monika Burzyńska, Tomasz Kopiec]; Methodology: [Małgorzata Pikala, Monika Burzyńska, Tomasz Kopiec]; Data curation: [Małgorzata Pikala], Formal analysis: [Małgorzata Pikala]; Visualization: [Małgorzata Pikala]; Writing – original draft: [Monika Burzyńska, Małgorzata Pikala]; Writing – review & editing: [Monika Burzyńska], Validation: [Monika Burzyńska]. All authors reviewed the manuscript and approved the final version of the manuscript. Acknowledgements Not applicable. Data Availability The datasets used and/or analysed during the current study are available from the corresponding author on reasonable request. Ethics statement The study was approved by Bioethics Committee of the Medical University of Lodz, No. RNN/422/12/KB. References Population structure and ageing - Statistics Explained. https://ec.europa.eu/eurostat/statisticsexplained/index.php?title=Population_structure_and_ageing#The_share_of_elderly_people_continues_to_increase . Accessed 25th March 2025. Di Cesare M, Perel P, Taylor S, Kabudula C, Bixby H, Gaziano TA, McGhie DV, Mwangi J, Pervan B, Narula J, Pineiro D, Pinto FJ. The Heart of the World. Glob Heart. 2024;19(1):11. 10.5334/gh.1288 . Qu C, Liao S, Zhang J, Cao H, Zhang H, Zhang N, Yan L, Cui G, Luo P, Zhang Q, Cheng Q. Burden of cardiovascular disease among elderly: based on the Global Burden of Disease Study 2019. Eur Heart J Qual Care Clin Outcomes. 2024;10(2):143–53. 10.1093/ehjqcco/qcad033 . Laurent S, Boutouyrie P. Arterial Stiffness and Hypertension in the Elderly. Front Cardiovasc Med. 2020;7:544302. 10.3389/fcvm.2020.544302 . Rodgers JL, Jones J, Bolleddu SI, Vanthenapalli S, Rodgers LE, Shah K, Karia K, Panguluri SK. Cardiovascular Risks Associated with Gender and Aging. J Cardiovasc Dev Dis. 2019,;27;6(2):19; 10.3390/jcdd6020019 Rich MW, Chyun DA, Skolnick AH, Alexander KP, Forman DE, Kitzman DW, Maurer MS, McClurken JB, Resnick BM, Shen WK, Tirschwell DL, American Heart Association Older Populations Committee of the Council on Clinical Cardiology, Council on Cardiovascular and Stroke Nursing, Council on Cardiovascular Surgery and Anesthesia, and Stroke Council; American College of Cardiology; and American Geriatrics Society. Knowledge Gaps in Cardiovascular Care of the Older Adult Population: A Scientific Statement From the American Heart Association, American College of Cardiology, and American Geriatrics Society. J Am Coll Cardiol. 2016;67(20):2419–40. 10.1016/j.jacc.2016.03.004 . Causes of death statistics by age group. https://ec.europa.eu/eurostat/statistics-explained/index.php?title=Causes_of_death_statistics_by_age_group . Accessed 19th February 2025. Cardiovascular diseases Statistics. https://ec.europa.eu/eurostat/statistics-explained/index.php?title=Cardiovascular_diseases_statistics . Accessed 19th February 2025. Eurostat. Revision of the European Standard Population. [online]. Dostępny w: https://ec.europa.eu/eurostat/documents/3859598/5926869/KS-RA-13-028-EN.PDF/e713fa79-1add-44e8-b23d-5e8fa09b3f8f . Accessed 2nd January 2025. Kim H, Fay MP, Feuer EJ, Midthune DN. Permutation tests for joinpoint regression with applications to cancer rates. Stat Med. 2000;19:335–51. 10.1002/sim.811 . Zatonski WA, McMichael AJ, Powles JW. Ecological study of reasons for sharp decline in mortality from ischaemic heart disease in Poland since 1991. BMJ. 1998;316:1047–51. 10.1136/bmj.316.7137.1047 . Wojtyniak B, Goryński P. Health situation of the Polish population and its determinants. National Institute of Public Health [article in Polish]. Warszawa 2020: 15–607. Bandosz P, O’Flaherty M, Drygas W, et al. Decline in mortality from coronary heart disease in Poland after socioeconomic transformation: modelling study. BMJ. 2012;344:d8136. 10.1136/bmj.d8136 . Kwaśniewska M, Pikala M, Bielecki W, Dziankowska-Zaborszczyk E, Rebowska E, et al. Ten-year changes in the prevalence and socio-demographic determinants of physical activity among polish adults aged 20 to 74 years. Results of the national multicenter health surveys WOBASZ (2003–2005) and WOBASZ II (2013–2014). PLoS ONE. 2016;11:e0156766. 10.1371/journal.pone.0156766 . Stepaniak U, Micek A, Waśkiewicz A, Bielecki W, Drygas W, Janion M, et al. Prevalence of general and abdominal obesity and overweight among adults in Poland. Results of the WOBASZ II study (2013–2014) and comparison with the WOBASZ study (2003–2005). Pol Arch Med Wewn. 2016;126:662–71. 10.20452/pamw.3499 . Waśkiewicz A, Szcześniewska D, Szostak-Wegierek D, Kwaśniewska M, Pajak A, Stepaniak U, et al. Are dietary habits of the polish population consistent with the recommendations for prevention of cardiovascular disease?—WOBASZ II project. Kardiol Pol. 2016;74:969–77. 10.5603/KP.a2016.0003 . Nikitas C, Kikidis D, Bibas A, Pavlou M, Zachou Z, Bamiou DE. Recommendations for physical activity in the elderly population: A scoping review of guidelines. J Frailty Sarcopenia Falls. 2022;7:18–28. 10.22540/JFSF-07-018 . Langhammer B, Bergland A, Rydwik E. The importance of physical activity exercise among older people. Biomed Res Int. 2018;5:7856823. 10.1155/2018/7856823 . Xing Y, Yang SD, Wang MM, Feng YS, Dong F, Zhang F. The Beneficial Role of Exercise Training for Myocardial Infarction Treatment in Elderly. Front Physiol. 2020;11:270. 10.3389/fphys.2020.00270 . Biernat E, Piatkowska M. Leisure-time physical activity participation trends 2014–2018: a cross-sectional study in Poland. Int J Environ Res Public Health. 2019;17:208. 10.3390/ijerph17010208 . Dąbrowski W, Jagiełło K, Mossakowska M, Suligowska K, Zdrojewski TR, Chudek J, Górska R. Evaluating changes in dental status among Polish older adults over a decade: A comparative analysis of PolSenior (2009) and PolSenior2 (2019) surveys. Dent Med Probl. 2025;62(1):23–30. 10.17219/dmp/196535 . Bowden Davies KA, Pickles S, Sprung VS, et al. Reduced physical activity in young and older adults: metabolic and musculoskeletal implications. Therapeutic Adv Endocrinol Metabolism. 2019;10. 10.1177/2042018819888824 . Informacja o sytuacji osób. starszych na podstawie badań Głównego Urzędu Statystycznego. Warszawa: GUS; 2018. Pikala M, Burzyńska M. Mortality and Years of Life Lost from Diabetes Mellitus in Poland: A Register-Based Study (2000–2022). Nutrients 2024, 16, 3597. https://doi.org/10.3390/nu16213597 Global Obesity Observatory. Available online: https://data.worldobesity.org/country/poland-173/#data_trends . Accessed 20 February 2025. Eurostat. 2020. Overweight and obesity - BMI statistics. https://ec.europa.eu/eurostat/statisticsexplained/index.php?title=Overweight _ and _ obesity _ - _ BMI _ statistics#Obesity _ by _ age _ group. Accessed 20 February 2025. Li W, Chen D, Peng Y, Lu Z, Kwan MP, Tse LA. Association Between Metabolic Syndrome and Mortality: Prospective Cohort Study. JMIR Public Health Surveill. 2023;9:e44073. 10.2196/44073 . Rajca A, Wojciechowska A, Śmigielski W, Drygas W, Piwońska A, Pająk A, Tykarski A, Kozakiewicz K, Kwaśniewska M, Zdrojewski T. Increase in the prevalence of metabolic syndrome in Poland: comparison of the results of the WOBASZ (2003–2005) and WOBASZ II (2013–2014) studies. Pol Arch Intern Med. 2021;131(6):520–6. Shen X, Yin F, Jiao C. Predictive Models of Life Satisfaction in Older People: A Machine Learning Approach. Int J Environ Res Public Health. 2023;20(3):2445. 10.3390/ijerph20032445 . Mensah GA, Wei GS, Sorlie PD, Fine LJ, Rosenberg Y, Kaufmann PG. Decline in Cardiovascular Mortality: Possible Causes and Implications. Circ Res. 2017;120(2):366–80. 10.1161/CIRCRESAHA.116.309115 . Unal B, Critchley JA, Capewell S. Explaining the decline in coronary heart disease mortality in England and Wales between 1981 and 2000. Circulation.109(9):1101-7; 10.1161/01.CIR.0000118498.35499.B2 Psota M, Bandosz P, Gonçalvesová E, Avdičová M, Bucek Pšenková M, Studenčan M. Explaining the decline in coronary heart disease mortality rates in the Slovak Republic between 1993–2008. PLoS ONE. 2018;13(1):e0190090. 10.1371/journal.pone.0190090 . Krämer C, Meisinger C, Kirchberger I, Heier M, Kuch B, Thilo C. Epidemiological trends in mortality, event rates and case fatality of acute myocardial infarction from 2004 to 2015: results from the KORA MI registry. Ann Med. 2021;53(1):2142–52. 10.1080/07853890.2021.2002926 . Hodgson TA, Cohen AJ. Medical care expenditures for selected circulatory diseases: opportunities for reducing national health expenditures. Med Care. 1999;37(10):994–1012. Jones CH, Dolsten M. Healthcare on the brink: navigating the challenges of an aging society in the United States. NPJ Aging. 2024;10(1):22. 10.1038/s41514-024-00148-2 . Erratum in: NPJ Aging. 2024; 10(1):25; doi: 10.1038/s41514-024-00153-5. Hofman A. Recent trends in cardiovascular epidemiology. Eur J Epidemiol. 2009;24(12):721–3. 10.1007/s10654-009-9410-3 . Sapna F, Raveena F, Chandio M, Bai K, Sayyar M, Varrassi G, Khatri M, Kumar S, Mohamad T. Advancements in Heart Failure Management: A Comprehensive Narrative Review of Emerging Therapies. Cureus. 2023;15(10):e46486. 10.7759/cureus . Brouwer ED, Watkins D, Olson Z, et al. Provider costs for prevention and treatment of cardiovascular and related conditions in low- and middle-income countries: a systematic review. BMC Public Health. 2015;15:1183. 10.1186/s12889-015-2538-z . Additional Declarations No competing interests reported. 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09:44:49","extension":"html","order_by":6,"title":"","display":"","copyAsset":false,"role":"acdc-reference","size":147208,"visible":true,"origin":"","legend":"","description":"","filename":"earlyproof.html","url":"https://assets-eu.researchsquare.com/files/rs-7687490/v1/a1d8518cc9ee6b5225fc3027.html"},{"id":99320407,"identity":"15c48440-3659-411a-b183-a36b7aa6f36f","added_by":"auto","created_at":"2025-12-31 16:38:34","extension":"jpeg","order_by":1,"title":"Figure 1","display":"","copyAsset":false,"role":"figure","size":476101,"visible":true,"origin":"","legend":"\u003cp\u003eStandardized death rates (SDR) for the cardiovascular diseases among women and men aged 65–74 years and 75 years and older in Poland, 2000–2022\u003c/p\u003e","description":"","filename":"floatimage1.jpeg","url":"https://assets-eu.researchsquare.com/files/rs-7687490/v1/2b62278013d35f8cfbd1daa0.jpeg"},{"id":99323931,"identity":"b2f41a1b-da1b-4bce-a1f3-5c0e03a6ed4a","added_by":"auto","created_at":"2025-12-31 16:46:42","extension":"pdf","order_by":0,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":1613899,"visible":true,"origin":"","legend":"","description":"","filename":"manuscript.pdf","url":"https://assets-eu.researchsquare.com/files/rs-7687490/v1/98be921f-20ba-4e82-99fd-af9bdff4729d.pdf"}],"financialInterests":"No competing interests reported.","formattedTitle":"Trend analysis of cardiovascular disease mortality in the population aged 65 and over in Poland: results from a registry study (2000-2022)","fulltext":[{"header":"Background","content":"\u003cp\u003eIn all countries of the European Union, the number of people aged 65 and over is rapidly increasing. In 2023, this group made up 21.3% of the general population. It is estimated that by 2100, the value will have been 32.5%, which means that the number of senior citizens will have increased from 94\u0026nbsp;million to 136\u0026nbsp;million [\u003cspan citationid=\"CR1\" class=\"CitationRef\"\u003e1\u003c/span\u003e]. The demographic structure of societies determines the epidemiological profile of the population, the structure of health problems and the demand for particular medical services. Cardiovascular diseases are the leading cause of mortality among the elderly in Poland and worldwide. They account for more than 50% of all deaths in this subpopulation [\u003cspan citationid=\"CR2\" class=\"CitationRef\"\u003e2\u003c/span\u003e]. Age is a separate and unavoidable risk factor that reduces the ability of the cardiovascular system to perform at its best. According to the American Heart Association, nearly 70% of men and women aged 60\u0026ndash;79 years have some form of cardiovascular disease. In 2019, the incidence of CVD in people aged 60\u0026ndash;80 years was usually 77\u0026ndash;80%, and in patients older than 80 years of age, the incidence was above 85% [\u003cspan citationid=\"CR3\" class=\"CitationRef\"\u003e3\u003c/span\u003e]. Among the elderly, the risk of hypertension, ischaemic heart disease, heart failure and stroke increases due to progressive vascular atherosclerosis, decreased vascular wall elasticity and comorbidities such as diabetes or chronic kidney disease [\u003cspan citationid=\"CR4\" class=\"CitationRef\"\u003e4\u003c/span\u003e]. It is estimated that 75% of people over 65 years of age suffer from hypertension, about 40% have ischemic heart disease (IHD), about 15% have heart failure and 10\u0026ndash;20% suffer from atrial fibrillation [\u003cspan citationid=\"CR5\" class=\"CitationRef\"\u003e5\u003c/span\u003e, \u003cspan citationid=\"CR6\" class=\"CitationRef\"\u003e6\u003c/span\u003e].\u003c/p\u003e \u003cp\u003eIn 2020, 84.9% of all deaths registered in the EU population occurred in people aged 65 years and older. Just over one-third (34.7%) of all deaths noted in the EU elderly population in 2021 was caused by diseases of the circulatory system. Nearly one in three deaths (i.e. 11.2% of all deaths) was caused by ischaemic heart disease [\u003cspan citationid=\"CR7\" class=\"CitationRef\"\u003e7\u003c/span\u003e]. The mortality rate due to diseases of the circulatory system was higher among men than women, i.e. 670 vs 391 per 100,000 population, respectively [\u003cspan citationid=\"CR8\" class=\"CitationRef\"\u003e8\u003c/span\u003e]. The current demographic situation and projected changes in the age distribution of the population translate into an increasing burden manifesting with mortality and generating socio-economic costs related to CVD. The aim of this study was to assess trends in cardiovascular mortality among people aged 65 years and older in Poland in the period 2000\u0026ndash;2022.\u003c/p\u003e"},{"header":"Methods","content":"\u003cp\u003eThe database containing information on all deaths of Polish residents aged 65 and over in the years 2000\u0026ndash;2022, obtained from the Central Statistical Office, was the research material.\u003c/p\u003e \u003cp\u003eThe present study involves the assessment of mortality trends due to cardiovascular diseases and distinguishes three major groups of causes in this class: ischemic heart diseases (I20-I25), cerebrovascular diseases (I60-I69) and diseases of arteries, arterioles and capillaries (I70-I79). Considering the fact that various health problems are related to the gender and age of seniors, mortality rates for women and men were analysed separately in two age groups: early old age (65\u0026ndash;74 years) and late old age (75 years and over).\u003c/p\u003e \u003cp\u003eProportional mortality rates were calculated for the first and last year of the analysed period to assess changes in the pattern of deaths. Standardised Death Rates (SDRs) were also calculated. The standardisation procedure was performed using the direct method, according to the European Standard Population updated in 2012 [\u003cspan citationid=\"CR9\" class=\"CitationRef\"\u003e9\u003c/span\u003e]. A time trend analysis of SDRs was performed using Joinpoint models and the Joinpoint Regression programme [\u003cspan citationid=\"CR10\" class=\"CitationRef\"\u003e10\u003c/span\u003e]. The authors calculated annual percentage changes (APCs) of standardised death rates for each segment of broken lines and the average annual percentage changes (AAPCs) for the entire analysed period with the corresponding 95% confidence intervals (CIs). All methods were performed in accordance with the relevant guidelines and regulations. The study was based solely on secondary data obtained from death certificates. No procedures were performed on human participants and no intervention was applied. The study was approved by Bioethics Committee of the Medical University of Lodz, No. RNN/422/12/KB. Written informed consent for participation was not required for this study in accordance with the national legislation and the institutional requirements.\u003c/p\u003e"},{"header":"Results","content":"\u003cp\u003eIn 2000, cardiovascular diseases were responsible for 45.6% of deaths in men in early old age (65\u0026ndash;74 years) and for 56.2% of deaths in men in late old age (75 years or older). In the female group, these values were 48.4% and 63.3%, respectively. In 2022, the proportion of deaths due to cardiovascular diseases decreased in both sex and age groups. In the group of men in early old age, deaths due to this class of causes accounted for 31.7% and for late old age the value was 39.7%. In the female group, the percentage of deaths was 26.6 and 47.4, respectively. In the class of cardiovascular diseases, the most common groups of causes of death were, ischaemic heart disease, cerebrovascular diseases and diseases of the arteries, arterioles and capillaries. It should be noted that a decrease in mortality rates was observed for all the three groups of causes in both sex and age groups except for ischaemic heart disease in the male and female late old age groups. SDRs due to diseases of the circulatory system decreased in the period 2000\u0026ndash;2022 in all the four analysed gender and age groups (Fig.\u0026nbsp;\u003cspan refid=\"Fig1\" class=\"InternalRef\"\u003e1\u003c/span\u003e).\u003c/p\u003e \u003cp\u003e \u003c/p\u003e \u003cp\u003eThe most rapid decline was noted in the early old age group of women. In the year 2000, SDR due to cardiovascular diseases was 1027.3 per 100,000 women and in 2022, it decreased to 427.3 (Table\u0026nbsp;\u003cspan refid=\"Tab1\" class=\"InternalRef\"\u003e1\u003c/span\u003e). The Average Annual Percentage Change (AAPC) over the entire observed period was \u0026minus;\u0026thinsp;3.7%. Between 2000 and 2007, the Annual Percentage Change (APC) was \u0026minus;\u0026thinsp;5.5% and it decreased to -2.9% between 2007 and 2022 (Table\u0026nbsp;\u003cspan refid=\"Tab2\" class=\"InternalRef\"\u003e3\u003c/span\u003e). The lowest SDR values in the cardiovascular disease class in women aged 65\u0026ndash;74 years, and at the same time the most favourable change trends, were observed for mortality due to diseases of arteries, arterioles and capillaries.\u003c/p\u003e \u003cp\u003e \u003cdiv class=\"gridtable\"\u003e\u003ctable float=\"Yes\" id=\"Tab1\" border=\"1\"\u003e \u003ccaption language=\"En\"\u003e \u003cdiv class=\"CaptionNumber\"\u003eTable 1\u003c/div\u003e \u003cdiv class=\"CaptionContent\"\u003e \u003cp\u003eStandardized death rates (SDR) from the leading causes of death within cardiovascular diseases among women aged 65\u0026ndash;74 years and 75 years and older in Poland, 2000\u0026ndash;2022\u003c/p\u003e \u003c/div\u003e \u003c/caption\u003e \u003ccolgroup cols=\"9\"\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c1\" colnum=\"1\"\u003e\u003c/div\u003e \u003cdiv align=\"char\" char=\".\" class=\"colspec\" colname=\"c2\" colnum=\"2\"\u003e\u003c/div\u003e \u003cdiv align=\"char\" char=\".\" class=\"colspec\" colname=\"c3\" colnum=\"3\"\u003e\u003c/div\u003e \u003cdiv align=\"char\" char=\".\" class=\"colspec\" colname=\"c4\" colnum=\"4\"\u003e\u003c/div\u003e \u003cdiv align=\"char\" char=\".\" class=\"colspec\" colname=\"c5\" colnum=\"5\"\u003e\u003c/div\u003e \u003cdiv align=\"char\" char=\".\" class=\"colspec\" colname=\"c6\" colnum=\"6\"\u003e\u003c/div\u003e \u003cdiv align=\"char\" char=\".\" class=\"colspec\" colname=\"c7\" colnum=\"7\"\u003e\u003c/div\u003e \u003cdiv align=\"char\" char=\".\" class=\"colspec\" colname=\"c8\" colnum=\"8\"\u003e\u003c/div\u003e \u003cdiv align=\"char\" char=\".\" class=\"colspec\" colname=\"c9\" colnum=\"9\"\u003e\u003c/div\u003e \u003cthead\u003e \u003ctr\u003e \u003cth align=\"left\" colname=\"c1\" morerows=\"1\" rowspan=\"2\"\u003e \u003cp\u003eYear\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colspan=\"2\" nameend=\"c3\" namest=\"c2\"\u003e \u003cp\u003eDiseases of the circulatory system (I00-I99)\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colspan=\"2\" nameend=\"c5\" namest=\"c4\"\u003e \u003cp\u003eIschemic heart diseases\u003c/p\u003e \u003cp\u003e(I20-I25)\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colspan=\"2\" nameend=\"c7\" namest=\"c6\"\u003e \u003cp\u003eCerebrovascular diseases\u003c/p\u003e \u003cp\u003e(I60-I69)\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colspan=\"2\" nameend=\"c9\" namest=\"c8\"\u003e \u003cp\u003eDiseases of arteries, arterioles and capillaries\u003c/p\u003e \u003cp\u003e(I70-I79)\u003c/p\u003e \u003c/th\u003e \u003c/tr\u003e \u003ctr\u003e \u003cth align=\"left\" colname=\"c2\"\u003e \u003cp\u003e65\u0026ndash;74\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c3\"\u003e \u003cp\u003e75+\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c4\"\u003e \u003cp\u003e65\u0026ndash;74\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c5\"\u003e \u003cp\u003e75+\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c6\"\u003e \u003cp\u003e65\u0026ndash;74\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c7\"\u003e \u003cp\u003e75+\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c8\"\u003e \u003cp\u003e65\u0026ndash;74\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c9\"\u003e \u003cp\u003e75+\u003c/p\u003e \u003c/th\u003e \u003c/tr\u003e \u003c/thead\u003e \u003ctbody\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e2000\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e1027.3\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e6452.0\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e333.3\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e1559.6\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e300.9\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e \u003cp\u003e1490.6\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e \u003cp\u003e118.7\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c9\"\u003e \u003cp\u003e1773.3\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e2001\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e960.6\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e6289.5\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e308.1\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e1487.4\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e286.7\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e \u003cp\u003e1520.4\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e \u003cp\u003e106.4\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c9\"\u003e \u003cp\u003e1704.6\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e2002\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e885.4\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e6078.7\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e278.1\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e1428.7\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e266.0\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e \u003cp\u003e1458.7\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e \u003cp\u003e103.1\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c9\"\u003e \u003cp\u003e1676.4\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e2003\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e851.7\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e6205.5\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e264.4\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e1444.0\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e253.1\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e \u003cp\u003e1401.4\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e \u003cp\u003e107.9\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c9\"\u003e \u003cp\u003e1831.3\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e2004\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e803.3\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e5809.0\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e247.5\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e1335.4\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e229.0\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e \u003cp\u003e1340.6\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e \u003cp\u003e105.3\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c9\"\u003e \u003cp\u003e1662.6\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e2005\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e757.6\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e5618.4\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e228.1\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e1359.5\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e219.6\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e \u003cp\u003e1273.3\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e \u003cp\u003e97.9\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c9\"\u003e \u003cp\u003e1583.4\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e2006\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e725.2\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e5404.6\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e219.9\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e1308.2\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e204.4\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e \u003cp\u003e1213.2\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e \u003cp\u003e90.1\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c9\"\u003e \u003cp\u003e1461.4\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e2007\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e694.6\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e5305.3\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e208.7\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e1184.5\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e187.4\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e \u003cp\u003e1150.5\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e \u003cp\u003e90.3\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c9\"\u003e \u003cp\u003e1545.8\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e2008\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e661.9\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e5147.9\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e194.9\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e1215.7\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e178.3\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e \u003cp\u003e1085.8\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e \u003cp\u003e83.8\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c9\"\u003e \u003cp\u003e1436.1\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e2009\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e651.2\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e5149.2\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e175.4\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e1178.7\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e172.0\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e \u003cp\u003e1029.2\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e \u003cp\u003e85.0\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c9\"\u003e \u003cp\u003e1363.5\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e2010\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e624.0\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e4820.7\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e167.3\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e1052.3\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e164.1\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e \u003cp\u003e982.0\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e \u003cp\u003e81.6\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c9\"\u003e \u003cp\u003e1245.6\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e2011\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e584.5\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e4551.4\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e164.7\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e1054.5\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e154.5\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e \u003cp\u003e965.5\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e \u003cp\u003e53.9\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c9\"\u003e \u003cp\u003e1018.3\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e2012\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e601.2\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e4592.3\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e160.7\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e945.4\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e147.9\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e \u003cp\u003e898.0\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e \u003cp\u003e62.5\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c9\"\u003e \u003cp\u003e1173.0\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e2013\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e584.3\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e4503.7\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e151.0\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e826.1\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e138.1\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e \u003cp\u003e839.0\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e \u003cp\u003e66.8\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c9\"\u003e \u003cp\u003e1317.3\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e2014\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e541.5\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e4173.5\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e129.9\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e758.1\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e127.0\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e \u003cp\u003e768.8\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e \u003cp\u003e62.6\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c9\"\u003e \u003cp\u003e1257.1\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e2015\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e552.0\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e4356.4\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e128.4\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e763.9\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e114.2\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e \u003cp\u003e746.5\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e \u003cp\u003e60.7\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c9\"\u003e \u003cp\u003e1075.2\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e2016\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e495.0\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e3961.6\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e125.7\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e754.2\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e109.5\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e \u003cp\u003e675.3\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e \u003cp\u003e57.3\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c9\"\u003e \u003cp\u003e1059.1\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e2017\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e473.0\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e3939.8\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e134.0\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e898.3\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e110.3\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e \u003cp\u003e696.1\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e \u003cp\u003e58.0\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c9\"\u003e \u003cp\u003e1074.4\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e2018\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e474.7\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e3852.8\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e131.9\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e843.2\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e105.8\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e \u003cp\u003e669.7\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e \u003cp\u003e60.3\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c9\"\u003e \u003cp\u003e1052.8\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e2018\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e471.5\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e3535.7\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e139.2\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e866.7\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e100.8\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e \u003cp\u003e627.5\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e \u003cp\u003e53.7\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c9\"\u003e \u003cp\u003e872.8\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e2020\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e490.2\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e3823.5\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e156.4\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e1038.3\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e110.5\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e \u003cp\u003e704.4\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e \u003cp\u003e51.2\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c9\"\u003e \u003cp\u003e952.8\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e2021\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e490.8\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e4044.0\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e183.4\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e1575.0\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e105.7\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e \u003cp\u003e684.3\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e \u003cp\u003e56.4\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c9\"\u003e \u003cp\u003e722.9\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e2022\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e427.3\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e3631.1\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e151.8\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e1407.2\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e101.3\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e \u003cp\u003e715.4\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e \u003cp\u003e36.5\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c9\"\u003e \u003cp\u003e436.5\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003c/tbody\u003e \u003c/colgroup\u003e \u003c/table\u003e\u003c/div\u003e \u003c/p\u003e \u003cp\u003e \u003cdiv class=\"gridtable\"\u003e\u003ctable float=\"Yes\" id=\"Tab2\" border=\"1\"\u003e \u003ccaption language=\"En\"\u003e \u003cdiv class=\"CaptionNumber\"\u003eTable 3\u003c/div\u003e \u003cdiv class=\"CaptionContent\"\u003e \u003cp\u003eTime trends of standardized death rates (SDR) for the leading causes of death within cardiovascular diseases among women and men aged 65\u0026ndash;74 years and 75 years and older in Poland, 2000\u0026ndash;2022 \u0026ndash; a joinpoint regression analysis\u003c/p\u003e \u003c/div\u003e \u003c/caption\u003e \u003ccolgroup cols=\"5\"\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c1\" colnum=\"1\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c2\" colnum=\"2\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c3\" colnum=\"3\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c4\" colnum=\"4\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c5\" colnum=\"5\"\u003e\u003c/div\u003e \u003cthead\u003e \u003ctr\u003e \u003cth align=\"left\" colname=\"c1\" morerows=\"1\" rowspan=\"2\"\u003e \u003cp\u003eCauses of death\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c2\"\u003e \u003cp\u003eNumber of joinpoints\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c3\"\u003e \u003cp\u003eYears\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c4\"\u003e \u003cp\u003eAPC (95% CI)\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c5\"\u003e \u003cp\u003eAAPC (95% CI)\u003c/p\u003e \u003c/th\u003e \u003c/tr\u003e \u003ctr\u003e \u003cth align=\"left\" colspan=\"4\" nameend=\"c5\" namest=\"c2\"\u003e \u003cp\u003eWomen aged 65\u0026ndash;74\u003c/p\u003e \u003c/th\u003e \u003c/tr\u003e \u003c/thead\u003e \u003ctbody\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\" morerows=\"1\" rowspan=\"2\"\u003e \u003cp\u003e\u003cb\u003eDiseases of the circulatory system (I00-I99)\u003c/b\u003e:\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e1\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e2000\u0026ndash;2007\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e-5.5* (-6.9; -4.2)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\" morerows=\"1\" rowspan=\"2\"\u003e \u003cp\u003e-3.7* (-4.2; -3.2)\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e2007\u0026ndash;2022\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e-2.9* (-3.3; -2.4)\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\" morerows=\"1\" rowspan=\"2\"\u003e \u003cp\u003eIschemic heart disease (I20-I25)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e1\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e2000\u0026ndash;2016\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e-5.8* (-6.4; -5.3)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\" morerows=\"1\" rowspan=\"2\"\u003e \u003cp\u003e-2.8* (-3.5; -2.1)\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e2016\u0026ndash;2022\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e5.7* (3.0; 8.5)\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\" morerows=\"1\" rowspan=\"2\"\u003e \u003cp\u003eCerebrovascular diseases (I60-I69)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e1\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e2000\u0026ndash;2016\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e-6.0* (-6.3; -5.8)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\" morerows=\"1\" rowspan=\"2\"\u003e \u003cp\u003e-4.8* (-5.2; -4.4)\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e2016\u0026ndash;2022\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e-1.3 (-2.6; 0.1)\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\" morerows=\"1\" rowspan=\"2\"\u003e \u003cp\u003eDiseases of arteries, arterioles and capillaries (I70-I79)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e0\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e2000\u0026ndash;2022\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e-4.2* (-4.9; -3.6)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\" morerows=\"1\" rowspan=\"2\"\u003e\u0026nbsp;\u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e2008\u0026ndash;2022\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e6.8* (5.5; 8.1)\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colspan=\"4\" nameend=\"c5\" namest=\"c2\"\u003e \u003cp\u003e\u003cb\u003eWomen aged 75+\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e\u003cb\u003eDiseases of the circulatory system (I00-I99)\u003c/b\u003e:\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e0\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e2000\u0026ndash;2022\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e-2.7* (-2.9; -2.5)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e\u0026nbsp;\u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\" morerows=\"2\" rowspan=\"3\"\u003e \u003cp\u003eIschemic heart disease (I20-I25)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e2\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e2000\u0026ndash;2009\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e-3.2* (-5.4; -0.9)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\" morerows=\"2\" rowspan=\"3\"\u003e \u003cp\u003e-0.3 (-2.2; 1.6)\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e2009\u0026ndash;2016\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e-6.9* (-10.8; -2.8)\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e2016\u0026ndash;2022\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e12.8* (8.0; 17.8)\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\" morerows=\"1\" rowspan=\"2\"\u003e \u003cp\u003eCerebrovascular diseases (I60-I69)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e1\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e2000\u0026ndash;2018\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e-4.9* (-5.2; -4.6)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\" morerows=\"1\" rowspan=\"2\"\u003e \u003cp\u003e-3.7* (-4.2; -3.1)\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e2018\u0026ndash;2022\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e2.2 (-0.9; 5.4)\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\" morerows=\"1\" rowspan=\"2\"\u003e \u003cp\u003eDiseases of arteries, arterioles and capillaries (I70-I79)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e1\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e2000\u0026ndash;2020\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e-3.3* (-3.9; -2.7)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\" morerows=\"1\" rowspan=\"2\"\u003e \u003cp\u003e-6.1* (-8.0; -4.2)\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e2020\u0026ndash;2022\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e-30.2* (-44.5; -12.2)\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colspan=\"4\" nameend=\"c5\" namest=\"c2\"\u003e \u003cp\u003e\u003cb\u003eMen aged 65\u0026ndash;74\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\" morerows=\"1\" rowspan=\"2\"\u003e \u003cp\u003e\u003cb\u003eDiseases of the circulatory system (I00-I99)\u003c/b\u003e:\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e1\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e2000\u0026ndash;2017\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e-3.1* (-3.4; -2.8)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\" morerows=\"1\" rowspan=\"2\"\u003e \u003cp\u003e-2.4* (-2.9; -2.0)\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e2017\u0026ndash;2022\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e-0.1 (-2.1; 1.9)\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\" morerows=\"1\" rowspan=\"2\"\u003e \u003cp\u003eIschemic heart disease (I20-I25)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e1\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e2000\u0026ndash;2016\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e-4.9* (-5.4; -4.5)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\" morerows=\"1\" rowspan=\"2\"\u003e \u003cp\u003e-2.3* (-2.9; -1.7)\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e2016\u0026ndash;2022\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e5.0* (2.8; 7.2)\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\" morerows=\"1\" rowspan=\"2\"\u003e \u003cp\u003eCerebrovascular diseases (I60-I69)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e1\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e2000\u0026ndash;2016\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e-4.6* (-4.9; -4.3)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\" morerows=\"1\" rowspan=\"2\"\u003e \u003cp\u003e-3.4* (-3.7; -3.0)\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e2016\u0026ndash;2022\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e-0.1 (-1.4; 1.2)\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eDiseases of arteries, arterioles and capillaries (I70-I79)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e0\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e2000\u0026ndash;2022\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e-3.5* (-4.1; -2.9)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e\u0026nbsp;\u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colspan=\"4\" nameend=\"c5\" namest=\"c2\"\u003e \u003cp\u003e\u003cb\u003eMen aged 75+\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e\u003cb\u003eDiseases of the circulatory system (I00-I99)\u003c/b\u003e:\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e0\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e2000\u0026ndash;2022\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e-2.6* (-2.9; -2.4)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e\u0026nbsp;\u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\" morerows=\"1\" rowspan=\"2\"\u003e \u003cp\u003eIschemic heart disease (I20-I25)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e1\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e2000\u0026ndash;2016\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e-4.3* (-5.1; -3.4)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\" morerows=\"1\" rowspan=\"2\"\u003e \u003cp\u003e-0.9* (-2.0; 0.3)\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e2016\u0026ndash;2022\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e8.7* (4.6; 13.0)\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\" morerows=\"1\" rowspan=\"2\"\u003e \u003cp\u003eCerebrovascular diseases (I60-I69)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e1\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e2000\u0026ndash;2018\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e-4.7* (-5.0; -4.4)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\" morerows=\"1\" rowspan=\"2\"\u003e \u003cp\u003e-3.5* (-4.1; -2.9)\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e2018\u0026ndash;2022\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e2.2 (-1.1; 5.6)\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\" morerows=\"1\" rowspan=\"2\"\u003e \u003cp\u003eDiseases of arteries, arterioles and capillaries (I70-I79)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e1\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e2000\u0026ndash;2020\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e-3.4* (-4.2; -3.0)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\" morerows=\"1\" rowspan=\"2\"\u003e \u003cp\u003e-6.2* (-8.0; -4.3)\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e2020\u0026ndash;2022\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e-29.7* (-43.8; -12.0; 8.1)\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003c/tbody\u003e \u003c/colgroup\u003e \u003ctfoot\u003e \u003ctr\u003e\u003ctd colspan=\"5\"\u003e*p\u0026thinsp;\u0026lt;\u0026thinsp;0.05\u003c/td\u003e\u003c/tr\u003e \u003c/tfoot\u003e \u003c/table\u003e\u003c/div\u003e \u003c/p\u003e \u003cp\u003eSDRs due to this group of causes declined between 2000 and 2022 at a constant annual rate of -4.2% (p\u0026thinsp;\u0026lt;\u0026thinsp;0.05) from 118.7 to 36.5 per 100,000 women. A decline in SDR values was also observed for cerebrovascular diseases. After a rapid decline between the years 2000 and 2016, when the rate was \u0026minus;\u0026thinsp;6.0%, it got stable and reached the value of -1.3% (p\u0026thinsp;\u0026gt;\u0026thinsp;0.05) for this group of causes of death. In consequence, SDR decreased from 300.9 in 2000 to 101.3 in 2022. The least favourable changes among women in early old age were observed for ischaemic heart disease. Between 2000 and 2016, SDR decreased from 333.3 to 125.7 (APC=-5.8%, p\u0026thinsp;\u0026lt;\u0026thinsp;0.05); after 2016, it started to increase at a rate of 5.7% (p\u0026thinsp;\u0026lt;\u0026thinsp;0.05), and in 2022 it reached the value of 151.8 per 100,000 women (Table\u0026nbsp;\u003cspan refid=\"Tab1\" class=\"InternalRef\"\u003e1\u003c/span\u003e, Table\u0026nbsp;\u003cspan refid=\"Tab2\" class=\"InternalRef\"\u003e3\u003c/span\u003e).\u003c/p\u003e \u003cp\u003eIn the group of women aged 75 years and older, SDRs due to cardiovascular disease decreased from 6452.0 per 100,000 women in 2000 to 3631.1 in 2022 (Fig.\u0026nbsp;\u003cspan refid=\"Fig1\" class=\"InternalRef\"\u003e1\u003c/span\u003e, Table\u0026nbsp;\u003cspan refid=\"Tab1\" class=\"InternalRef\"\u003e1\u003c/span\u003e). APC was \u0026minus;\u0026thinsp;2.7% (p\u0026thinsp;\u0026lt;\u0026thinsp;0.05) (Table\u0026nbsp;\u003cspan refid=\"Tab3\" class=\"InternalRef\"\u003e2\u003c/span\u003e). In this class of mortality causes among women in late old age, the highest SDR values observed by the year 2019 referred to diseases of arteries, arterioles and capillaries.\u003c/p\u003e \u003cp\u003e \u003cdiv class=\"gridtable\"\u003e\u003ctable float=\"Yes\" id=\"Tab3\" border=\"1\"\u003e \u003ccaption language=\"En\"\u003e \u003cdiv class=\"CaptionNumber\"\u003eTable 2\u003c/div\u003e \u003cdiv class=\"CaptionContent\"\u003e \u003cp\u003eStandardized death rates (SDR) from the leading causes of death within cardiovascular diseases among men aged 65\u0026ndash;74 years and 75 years and older in Poland, 2000\u0026ndash;2022\u003c/p\u003e \u003c/div\u003e \u003c/caption\u003e \u003ccolgroup cols=\"9\"\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c1\" colnum=\"1\"\u003e\u003c/div\u003e \u003cdiv align=\"char\" char=\".\" class=\"colspec\" colname=\"c2\" colnum=\"2\"\u003e\u003c/div\u003e \u003cdiv align=\"char\" char=\".\" class=\"colspec\" colname=\"c3\" colnum=\"3\"\u003e\u003c/div\u003e \u003cdiv align=\"char\" char=\".\" class=\"colspec\" colname=\"c4\" colnum=\"4\"\u003e\u003c/div\u003e \u003cdiv align=\"char\" char=\".\" class=\"colspec\" colname=\"c5\" colnum=\"5\"\u003e\u003c/div\u003e \u003cdiv align=\"char\" char=\".\" class=\"colspec\" colname=\"c6\" colnum=\"6\"\u003e\u003c/div\u003e \u003cdiv align=\"char\" char=\".\" class=\"colspec\" colname=\"c7\" colnum=\"7\"\u003e\u003c/div\u003e \u003cdiv align=\"char\" char=\".\" class=\"colspec\" colname=\"c8\" colnum=\"8\"\u003e\u003c/div\u003e \u003cdiv align=\"char\" char=\".\" class=\"colspec\" colname=\"c9\" colnum=\"9\"\u003e\u003c/div\u003e \u003cthead\u003e \u003ctr\u003e \u003cth align=\"left\" colname=\"c1\" morerows=\"1\" rowspan=\"2\"\u003e \u003cp\u003eYear\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colspan=\"2\" nameend=\"c3\" namest=\"c2\"\u003e \u003cp\u003eDiseases of the circulatory system (I00-I99)\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colspan=\"2\" nameend=\"c5\" namest=\"c4\"\u003e \u003cp\u003eIschemic heart diseases\u003c/p\u003e \u003cp\u003e(I20-I25)\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colspan=\"2\" nameend=\"c7\" namest=\"c6\"\u003e \u003cp\u003eCerebrovascular diseases\u003c/p\u003e \u003cp\u003e(I60-I69)\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colspan=\"2\" nameend=\"c9\" namest=\"c8\"\u003e \u003cp\u003eDiseases of arteries, arterioles and capillaries\u003c/p\u003e \u003cp\u003e(I70-I79)\u003c/p\u003e \u003c/th\u003e \u003c/tr\u003e \u003ctr\u003e \u003cth align=\"left\" colname=\"c2\"\u003e \u003cp\u003e65\u0026ndash;74\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c3\"\u003e \u003cp\u003e75+\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c4\"\u003e \u003cp\u003e65\u0026ndash;74\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c5\"\u003e \u003cp\u003e75+\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c6\"\u003e \u003cp\u003e65\u0026ndash;74\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c7\"\u003e \u003cp\u003e75+\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c8\"\u003e \u003cp\u003e65\u0026ndash;74\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c9\"\u003e \u003cp\u003e75+\u003c/p\u003e \u003c/th\u003e \u003c/tr\u003e \u003c/thead\u003e \u003ctbody\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e2000\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e2069.8\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e7928.6\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e812.6\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e2174.9\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e467.3\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e \u003cp\u003e1659.4\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e \u003cp\u003e257.5\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c9\"\u003e \u003cp\u003e2055.1\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e2001\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e1973.9\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e7658.6\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e758.9\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e2080.0\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e459.1\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e \u003cp\u003e1626.8\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e \u003cp\u003e235.5\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c9\"\u003e \u003cp\u003e1938.2\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e2002\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e1836.1\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e7337.0\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e720.9\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e1990.4\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e421.4\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e \u003cp\u003e1563.7\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e \u003cp\u003e228.3\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c9\"\u003e \u003cp\u003e1896.6\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e2003\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e1826.9\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e7520.8\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e694.0\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e2044.5\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e412.6\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e \u003cp\u003e1539.4\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e \u003cp\u003e258.0\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c9\"\u003e \u003cp\u003e2076.5\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e2004\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e1734.3\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e6963.9\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e650.1\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e1875.8\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e391.5\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e \u003cp\u003e1417.0\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e \u003cp\u003e251.9\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c9\"\u003e \u003cp\u003e1908.3\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e2005\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e1664.9\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e6667.3\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e616.4\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e1849.0\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e378.4\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e \u003cp\u003e1343.7\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e \u003cp\u003e233.3\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c9\"\u003e \u003cp\u003e1800.7\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e2006\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e1620.2\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e6449.4\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e604.3\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e1813.4\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e358.2\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e \u003cp\u003e1303.9\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e \u003cp\u003e220.2\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c9\"\u003e \u003cp\u003e1634.8\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e2007\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e1584.3\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e6336.0\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e585.1\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e1658.9\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e341.1\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e \u003cp\u003e1257.6\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e \u003cp\u003e217.8\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c9\"\u003e \u003cp\u003e1740.9\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e2008\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e1539.9\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e6210.0\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e545.4\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e1707.1\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e333.3\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e \u003cp\u003e1183.9\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e \u003cp\u003e212.0\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c9\"\u003e \u003cp\u003e1605.6\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e2009\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e1534.9\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e6304.6\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e509.2\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e1682.3\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e312.9\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e \u003cp\u003e1147.6\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e \u003cp\u003e213.3\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c9\"\u003e \u003cp\u003e1552.7\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e2010\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e1456.6\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e5967.8\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e500.7\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e1534.8\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e299.0\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e \u003cp\u003e1082.8\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e \u003cp\u003e187.5\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c9\"\u003e \u003cp\u003e1454.8\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e2011\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e1363.3\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e5648.6\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e475.8\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e1551.5\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e287.1\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e \u003cp\u003e1038.1\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e \u003cp\u003e144.9\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c9\"\u003e \u003cp\u003e1210.8\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e2012\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e1404.1\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e5737.3\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e461.1\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e1405.5\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e274.2\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e \u003cp\u003e997.6\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e \u003cp\u003e156.6\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c9\"\u003e \u003cp\u003e1376.9\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e2013\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e1358.5\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e5555.0\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e414.5\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e1236.3\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e258.1\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e \u003cp\u003e903.5\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e \u003cp\u003e162.5\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c9\"\u003e \u003cp\u003e1543.7\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e2014\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e1271.5\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e5159.0\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e376.5\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e1146.7\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e240.7\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e \u003cp\u003e829.2\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e \u003cp\u003e158.8\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c9\"\u003e \u003cp\u003e1440.4\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e2015\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e1327.6\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e5304.0\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e385.0\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e1134.2\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e233.6\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e \u003cp\u003e808.4\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e \u003cp\u003e148.0\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c9\"\u003e \u003cp\u003e1198.7\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e2016\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e1183.5\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e4857.5\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e361.1\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e1138.4\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e225.7\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e \u003cp\u003e759.9\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e \u003cp\u003e153.6\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c9\"\u003e \u003cp\u003e1174.2\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e2017\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e1140.4\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e4811.6\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e387.6\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e1299.8\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e227.9\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e \u003cp\u003e799.3\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e \u003cp\u003e153.2\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c9\"\u003e \u003cp\u003e1173.0\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e2018\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e1146.9\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e4651.9\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e369.5\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e1241.8\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e216.3\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e \u003cp\u003e759.5\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e \u003cp\u003e154.0\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c9\"\u003e \u003cp\u003e1134.0\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e2018\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e1152.0\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e4323.8\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e388.3\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e1252.0\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e211.7\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e \u003cp\u003e696.9\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e \u003cp\u003e137.7\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c9\"\u003e \u003cp\u003e938.0\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e2020\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e1219.0\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e4814.1\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e450.5\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e1525.7\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e240.3\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e \u003cp\u003e801.7\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e \u003cp\u003e136.4\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c9\"\u003e \u003cp\u003e1061.0\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e2021\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e1204.2\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e4908.5\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e508.1\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e2067.1\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e220.0\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e \u003cp\u003e778.5\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e \u003cp\u003e143.9\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c9\"\u003e \u003cp\u003e829.2\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e2022\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e1109.4\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e4326.7\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e459.0\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e1810.9\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e223.1\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e \u003cp\u003e781.8\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e \u003cp\u003e98.9\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c9\"\u003e \u003cp\u003e486.8\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003c/tbody\u003e \u003c/colgroup\u003e \u003c/table\u003e\u003c/div\u003e \u003c/p\u003e \u003cp\u003eIn 2000, the SDR value due to diseases of arteries, arterioles and capillaries was 1773.3 and decreased to 436.5 in 2022 (AAPC=-6.1%). However, a substantial change in the rate of decline that occurred in the year 2020 is worth noting. APC between 2000 and 2020 was \u0026minus;\u0026thinsp;3.3% (p\u0026thinsp;\u0026lt;\u0026thinsp;0.05), while between 2020 and 2022, it was \u0026minus;\u0026thinsp;30.2% (p\u0026thinsp;\u0026lt;\u0026thinsp;0.05). As a result of these changes, IHD became a cause of mortality with the highest SDR values in the class of cardiovascular diseases in the late old age female group. For ischaemic heart disease, the rate of decline in the SDR value between 2000 and 2009 was \u0026minus;\u0026thinsp;3.2% (p\u0026thinsp;\u0026lt;\u0026thinsp;0.05), and between 2009 and 2016, the rate of decline increased to -6.9% (p\u0026thinsp;\u0026lt;\u0026thinsp;0.05). After 2016, SDR began to increase at a rapid rate of 12.8% (p\u0026thinsp;\u0026lt;\u0026thinsp;0.05). In consequence, SDR in 2021 was 1575.0. It was higher than in the year 2000, when it was 1559.6. With regards to cerebrovascular diseases, a decrease in the SDR value was observed between 2000 and 2018 (APC=-4.9%, p\u0026thinsp;\u0026lt;\u0026thinsp;0.05). After 2018, SDR started to increase at a rate of 2.2% (p\u0026thinsp;\u0026gt;\u0026thinsp;0.05). In consequence, SDR values in the years 2000 and 2022 were 1490.6 and 715.4, respectively (Table\u0026nbsp;\u003cspan refid=\"Tab1\" class=\"InternalRef\"\u003e1\u003c/span\u003e, Table\u0026nbsp;\u003cspan refid=\"Tab2\" class=\"InternalRef\"\u003e3\u003c/span\u003e).\u003c/p\u003e \u003cp\u003eAmong men aged 65\u0026ndash;74 years, cardiovascular mortality rates decreased between 2000 and 2017 from 2069.8 to 1140.4 per 100,000 at a rate of -3.1% (p\u0026thinsp;\u0026lt;\u0026thinsp;0.05) (Table\u0026nbsp;\u003cspan refid=\"Tab3\" class=\"InternalRef\"\u003e2\u003c/span\u003e, Table\u0026nbsp;\u003cspan refid=\"Tab2\" class=\"InternalRef\"\u003e3\u003c/span\u003e, Fig.\u0026nbsp;\u003cspan refid=\"Fig1\" class=\"InternalRef\"\u003e1\u003c/span\u003e). Between 2017 and 2022, SDR values got stable (APC=-0.1%, p\u0026thinsp;\u0026gt;\u0026thinsp;0.05). By far, the highest values of mortality rates in this class of causes and an unfavourable increase in SDR values since 2016 were observed for IHD.\u003c/p\u003e \u003cp\u003eBetween 2000 and 2016, SDRs decreased from 812.6 to 361.1 per 100,000 men (APC=-4.9%, p\u0026thinsp;\u0026lt;\u0026thinsp;0.05). After 2016, SDRs began to increase at a rate of 5% (p\u0026thinsp;\u0026lt;\u0026thinsp;0.05), reaching a value of 459.0 in 2022.The second highest death rates due to cardiovascular diseases among men in early old age related to cerebrovascular diseases. ischaemic heart disease, decreased SDRs were observed in the period 2000\u0026ndash;2016 when the annual rate of decline was \u0026minus;\u0026thinsp;4.6% (p\u0026thinsp;\u0026lt;\u0026thinsp;0.05). After 2016, SDRs got stable (APC=-0.1, p\u0026thinsp;\u0026gt;\u0026thinsp;0.05). The lowest values of death rates in the cardiovascular disease class among men in early old age and a steady decline at an annual rate of -3.5% were noted for diseases of arteries, arterioles and capillaries. SDRs decreased from 257.5 per 100,000 in 2000 to 98.9 in 2022 (Tables\u0026nbsp;\u003cspan refid=\"Tab3\" class=\"InternalRef\"\u003e2\u003c/span\u003e, Table\u0026nbsp;\u003cspan refid=\"Tab2\" class=\"InternalRef\"\u003e3\u003c/span\u003e).\u003c/p\u003e \u003cp\u003eAmong men aged 75 years and older, cardiovascular mortality rates were the highest of the four subgroups analysed by gender and age, i.e. 7928.6 in 2000 and 4326.7 in 2022 (APC=-2.6%, p\u0026thinsp;\u0026lt;\u0026thinsp;0.05) (Tables\u0026nbsp;\u003cspan refid=\"Tab3\" class=\"InternalRef\"\u003e2\u003c/span\u003e, Table\u0026nbsp;\u003cspan refid=\"Tab2\" class=\"InternalRef\"\u003e3\u003c/span\u003e, Fig.\u0026nbsp;\u003cspan refid=\"Fig1\" class=\"InternalRef\"\u003e1\u003c/span\u003e). Similarly to the group of women in late old age, the most favourable changes related to mortality due to diseases of arteries, arterioles and capillaries. Between 2000 and 2020, SDRs due to this group of causes decreased at a rate of -3.4% (p\u0026thinsp;\u0026lt;\u0026thinsp;0.05), whereas between 2020 and 2022 the decline rate was \u0026minus;\u0026thinsp;29.7% (p\u0026thinsp;\u0026lt;\u0026thinsp;0.05). As a result, death rates decreased from 2055.1 in the year 2000 to 486.8 in the year 2022.\u003c/p\u003e \u003cp\u003eSDRs for IHD decreased from 2174.9 in 2000 to 1138.4 in 2016 (APC=-4.3%, p\u0026thinsp;\u0026lt;\u0026thinsp;0.05). From 2016 onwards, they began to increase at a rate of 8.7% (p\u0026thinsp;\u0026lt;\u0026thinsp;0.05), and in 2022, they reached a value of 1810.9 per 100,000 women. Death rates in men aged 75 years or older, who died due to cerebrovascular diseases, decreased from 1659.4 in 2000 to 696.9 in 2019 (APC=-4.7%, p\u0026thinsp;\u0026lt;\u0026thinsp;0.05). The decline was followed by a statistically insignificant increase after 2019 (Table\u0026nbsp;\u003cspan refid=\"Tab3\" class=\"InternalRef\"\u003e2\u003c/span\u003e, Table\u0026nbsp;\u003cspan refid=\"Tab2\" class=\"InternalRef\"\u003e3\u003c/span\u003e).\u003c/p\u003e"},{"header":"Discussion","content":"\u003cp\u003eHistorical data indicate that decreasing trends in mortality due to cardiovascular diseases began in Poland in 1991 and was the strongest in the 1990s. After this time, it slowed down [\u003cspan citationid=\"CR18\" class=\"CitationRef\"\u003e18\u003c/span\u003e]. Despite these favourable declining trends, SDRs due to cardiovascular diseases are around 40% higher than the average value for European men and women [\u003cspan citationid=\"CR12\" class=\"CitationRef\"\u003e12\u003c/span\u003e]. According to estimates by Bandosz et al., based on the IMPACT coronary heart disease (CHD) mortality model, about 54% reduction of CHD deaths can be attributed to favourable changes in risk factors, and about 37% \u0026ndash; to advanced treatment methods [\u003cspan citationid=\"CR13\" class=\"CitationRef\"\u003e13\u003c/span\u003e].\u003c/p\u003e \u003cp\u003eThe political transformation which occurred in Poland after the year 1989 had a significant impact on lifestyle, including a change in dietary habits of Polish society. Mean cholesterol levels noticeably dropped (by 0.4 mmol/l). Changes in smoking, especially in men, were also observed. Smoking prevalence fell by 15.7%. The mean systolic blood pressure decreased by 2.7 mm Hg in men and by 5.2 mm Hg in women. People more often engaged in leisure time physical activity [\u003cspan citationid=\"CR13\" class=\"CitationRef\"\u003e13\u003c/span\u003e]. However, these relatively favourable patterns were not long-lasting. Results of the National Multicentre Health Survey WOBASZ II (2013\u0026ndash;2014) clearly indicate that Poles\u0026rsquo; dietary habits are negative. People are not really physically active and prevalence of obesity and overweight is still high [\u003cspan additionalcitationids=\"CR15\" citationid=\"CR14\" class=\"CitationRef\"\u003e14\u003c/span\u003e\u0026ndash;\u003cspan citationid=\"CR16\" class=\"CitationRef\"\u003e16\u003c/span\u003e]. This fact is reflected in results of the present study in relation to the leading group of mortality causes in the analysed class of cardiovascular diseases. Indeed, the favourable trend got reversed in 2016 and SDRs due to IHD in older people in all particular age groups of both men and women increased.\u003c/p\u003e \u003cp\u003eStudies show that regular physical activity is the cornerstone of preventive and therapeutic interventions in older people [\u003cspan citationid=\"CR17\" class=\"CitationRef\"\u003e17\u003c/span\u003e, \u003cspan citationid=\"CR18\" class=\"CitationRef\"\u003e18\u003c/span\u003e]. In seniors with ischaemic heart disease, adequate physical exercise effectively slows the progression of the disease and reduces the risk of acute cardiac incidents, commonly referred to as myocardial infarctions, thereby reducing the risk of death [\u003cspan citationid=\"CR19\" class=\"CitationRef\"\u003e19\u003c/span\u003e]. Although the proportion of physically active Poles, aged 60\u0026ndash;69 years, who follow recommendations regarding the amount of physical activity required to stay healthy increased from 31.7% in 2014 to 46.3% in 2018, age is the key determinant of these trends [\u003cspan citationid=\"CR20\" class=\"CitationRef\"\u003e20\u003c/span\u003e]. The process of ageing is associated with a gradual reduction in both the time spent on physical activity and the intensity of this activity [\u003cspan citationid=\"CR21\" class=\"CitationRef\"\u003e21\u003c/span\u003e]. Decreased levels of physical activity and functional fitness result from reduced upper and lower limb muscle strength and changed levels of body fat, impaired flexibility, agility and endurance [\u003cspan citationid=\"CR22\" class=\"CitationRef\"\u003e22\u003c/span\u003e]. A 2018 report of the Central Statistical Office clearly confirms that older Poles are less active. On average, 46.4% of the Polish population get engaged in sport and recreation. In the group of seniors, only 25.1% are physically active and only 10.6% get engaged in such activity regularly/frequently [\u003cspan citationid=\"CR23\" class=\"CitationRef\"\u003e23\u003c/span\u003e].\u003c/p\u003e \u003cp\u003eThe negative trend in ischaemic heart disease mortality in the elderly population observed in recent years can also be linked to a significant increase in the prevalence of diabetes. The average global trend in diabetes incidence from 1990 to 2019 was upward, with an annual increase of 3.73 cases per 100,000 population. The trends in diabetes observed in Poland are not favorable, either. Results of a study on changes in the pattern of mortality in the Polish population due to diabetes revealed increased SDRs for both types of diabetes in the period 2000\u0026ndash;2022 [\u003cspan citationid=\"CR24\" class=\"CitationRef\"\u003e24\u003c/span\u003e]. The risk of death due to ischaemic heart disease also increases in people with excess body weight. Simultaneously, an increase in the number of overweight and obese people has been observed in Poland for years. According to data of the Global Obesity Observatory, between 2000 and 2020, the proportion of people with excess body weight increased from 40% to 50% [\u003cspan citationid=\"CR25\" class=\"CitationRef\"\u003e25\u003c/span\u003e]. In 2019, the proportion of overweight adults in the EU-27 was 52.7%, whereas in older adults (65 years and older), the proportion exceeded 60% [\u003cspan citationid=\"CR26\" class=\"CitationRef\"\u003e26\u003c/span\u003e]. Research indicates that there is a significant association between IHD mortality and the prevalence of metabolic syndrome (MS) [\u003cspan citationid=\"CR27\" class=\"CitationRef\"\u003e27\u003c/span\u003e]. In Poland, in the decade between the WOBASZ I (2003\u0026ndash;2005) and WOBASZ II (2013\u0026ndash;2014) representative epidemiological studies, the prevalence of MS in adults aged 20\u0026ndash;74 years significantly increased by 3.3% in women (26.6% vs 29.9%; p\u0026thinsp;\u0026lt;\u0026thinsp;0.001) and by 8.8% in men (30.7% vs 39.4%; p\u0026thinsp;\u0026lt;\u0026thinsp;0.001) [\u003cspan citationid=\"CR28\" class=\"CitationRef\"\u003e28\u003c/span\u003e].\u003c/p\u003e \u003cp\u003eIn most developed countries, mortality due to cardiovascular disease has been declining over the past few decades [\u003cspan citationid=\"CR29\" class=\"CitationRef\"\u003e29\u003c/span\u003e], which was confirmed in our study. In the USA, mortality rates have been dropping for several decades in both men and women. This trend has been observed in almost all regions of the world, especially in North America, Western Europe, Japan, Australia and New Zealand. In some countries, such as the Netherlands and the UK, the decrease has been significant, i.e. 70% and 60%, respectively. It has been noted that reduced mortality rates are a consequence of reduced major risk factors such as high cholesterol, abnormal blood pressure and smoking, which implies that primary prevention may have considerably changed this trend [\u003cspan citationid=\"CR30\" class=\"CitationRef\"\u003e30\u003c/span\u003e]. In Sweden, the decrease is explained by a change in diet, while in Japan \u0026ndash; by a decrease in smoking prevalence. Death rates due to cardiovascular diseases have also significantly declined in Australia, which is most likely contributed by the implementation of increasingly advanced cardiovascular treatments [\u003cspan citationid=\"CR31\" class=\"CitationRef\"\u003e31\u003c/span\u003e]. In the elderly, improvements in hospital care have been the main factor which contributes to a reduction in the number of deaths due to cardiovascular diseases. Advances in diagnosing cardiovascular diseases at an early stage may have contributed to delayed recurrences and thus deaths [\u003cspan citationid=\"CR32\" class=\"CitationRef\"\u003e32\u003c/span\u003e]. At the same time, in the light of apparent global ageing process, the health and financial burden of cardiovascular diseases continues to increase, posing a powerful challenge to the health care system [\u003cspan citationid=\"CR33\" class=\"CitationRef\"\u003e33\u003c/span\u003e]. Most of the total expenditure on cardiovascular diseases, i.e. almost three fourths, is assigned for people aged 65 years or older [\u003cspan citationid=\"CR34\" class=\"CitationRef\"\u003e34\u003c/span\u003e]. The process of ageing is increasingly associated with challenges for the health care system, both in organisational and financial aspects [\u003cspan citationid=\"CR35\" class=\"CitationRef\"\u003e35\u003c/span\u003e, \u003cspan citationid=\"CR36\" class=\"CitationRef\"\u003e36\u003c/span\u003e]. An increasing demand for specialised care, particularly cardiological care, requires not only adequate funding but also effective medical resource management strategies. It is becoming crucial to adapt hospital infrastructure and the model of care for seniors in order to cope with rising treatment costs and make the healthcare system efficient. Further investment is needed in cardiovascular disease prevention and health education because it may enable to reduce hospital admissions, thereby reducing the number of complications and considerably relieving the burden on the health care system in the long term [\u003cspan citationid=\"CR37\" class=\"CitationRef\"\u003e37\u003c/span\u003e, \u003cspan citationid=\"CR38\" class=\"CitationRef\"\u003e38\u003c/span\u003e].\u003c/p\u003e"},{"header":"Conclusions","content":"\u003cp\u003eOur study is an extensive assessment of the burden of CVD in older adults. Between 2000 and 2022, mortality due to cardiovascular diseases significantly decreased in all analysed age and gender groups, with the exception of IHD. The greatest reduction was observed among women aged 65\u0026ndash;74 years. Despite the positive trends, cardiovascular disease still represents a significant health risk, particularly in the oldest people. This calls for continued preventive action and systemic interventions to monitor risk factors. It is necessary to constantly monitor trends and adopt health strategies which must be adequate and adjusted to changing needs of the senior population.\u003c/p\u003e"},{"header":"Declarations","content":"\u003cp\u003e \u003ch2\u003eUse of artificial intelligence (AI) tools\u003c/h2\u003e \u003cp\u003eAI tools were not used in this study or for writing the paper.\u003c/p\u003e \u003c/p\u003e\u003cp\u003e \u003ch2\u003eConflict of interest\u003c/h2\u003e \u003cp\u003eThe authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.\u003c/p\u003e \u003c/p\u003e\u003cp\u003e \u003ch2\u003eConsent for publication\u003c/h2\u003e \u003cp\u003eNot applicable.\u003c/p\u003e \u003c/p\u003e\u003ch2\u003eFunding\u003c/h2\u003e \u003cp\u003eThis research was funded by Medical University of Lodz, Department of Epidemiology and Biostatistics (project no 503/6-029-07/503-61-001-19-00).\u003c/p\u003e\u003ch2\u003eAuthor Contribution\u003c/h2\u003e\u003cp\u003eConceptualization: [Małgorzata Pikala, Monika Burzyńska, Tomasz Kopiec]; Methodology: [Małgorzata Pikala, Monika Burzyńska, Tomasz Kopiec]; Data curation: [Małgorzata Pikala], Formal analysis: [Małgorzata Pikala]; Visualization: [Małgorzata Pikala]; Writing \u0026ndash; original draft: [Monika Burzyńska, Małgorzata Pikala]; Writing \u0026ndash; review \u0026amp; editing: [Monika Burzyńska], Validation: [Monika Burzyńska]. All authors reviewed the manuscript and approved the final version of the manuscript.\u003c/p\u003e\u003ch2\u003eAcknowledgements\u003c/h2\u003e \u003cp\u003eNot applicable.\u003c/p\u003e\u003ch2\u003eData Availability\u003c/h2\u003e\u003cp\u003eThe datasets used and/or analysed during the current study are available from the corresponding author on reasonable request.\u003c/p\u003e\n\u003ch3\u003eEthics statement\u003c/h3\u003e\n\u003cp\u003eThe study was approved by Bioethics Committee of the Medical University of Lodz, No. RNN/422/12/KB.\u003c/p\u003e "},{"header":"References","content":"\u003col\u003e\u003cli\u003e\u003cspan\u003ePopulation structure and ageing - Statistics Explained. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://ec.europa.eu/eurostat/statisticsexplained/index.php?title=Population_structure_and_ageing#The_share_of_elderly_people_continues_to_increase\u003c/span\u003e\u003cspan address=\"https://ec.europa.eu/eurostat/statisticsexplained/index.php?title=Population_structure_and_ageing#The_share_of_elderly_people_continues_to_increase\" targettype=\"URL\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e. Accessed 25th March 2025.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eDi Cesare M, Perel P, Taylor S, Kabudula C, Bixby H, Gaziano TA, McGhie DV, Mwangi J, Pervan B, Narula J, Pineiro D, Pinto FJ. The Heart of the World. Glob Heart. 2024;19(1):11. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003e10.5334/gh.1288\u003c/span\u003e\u003cspan address=\"10.5334/gh.1288\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eQu C, Liao S, Zhang J, Cao H, Zhang H, Zhang N, Yan L, Cui G, Luo P, Zhang Q, Cheng Q. Burden of cardiovascular disease among elderly: based on the Global Burden of Disease Study 2019. Eur Heart J Qual Care Clin Outcomes. 2024;10(2):143\u0026ndash;53. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003e10.1093/ehjqcco/qcad033\u003c/span\u003e\u003cspan address=\"10.1093/ehjqcco/qcad033\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eLaurent S, Boutouyrie P. Arterial Stiffness and Hypertension in the Elderly. Front Cardiovasc Med. 2020;7:544302. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003e10.3389/fcvm.2020.544302\u003c/span\u003e\u003cspan address=\"10.3389/fcvm.2020.544302\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eRodgers JL, Jones J, Bolleddu SI, Vanthenapalli S, Rodgers LE, Shah K, Karia K, Panguluri SK. Cardiovascular Risks Associated with Gender and Aging. J Cardiovasc Dev Dis. 2019,;27;6(2):19; \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003e10.3390/jcdd6020019\u003c/span\u003e\u003cspan address=\"10.3390/jcdd6020019\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eRich MW, Chyun DA, Skolnick AH, Alexander KP, Forman DE, Kitzman DW, Maurer MS, McClurken JB, Resnick BM, Shen WK, Tirschwell DL, American Heart Association Older Populations Committee of the Council on Clinical Cardiology, Council on Cardiovascular and Stroke Nursing, Council on Cardiovascular Surgery and Anesthesia, and Stroke Council; American College of Cardiology; and American Geriatrics Society. Knowledge Gaps in Cardiovascular Care of the Older Adult Population: A Scientific Statement From the American Heart Association, American College of Cardiology, and American Geriatrics Society. J Am Coll Cardiol. 2016;67(20):2419\u0026ndash;40. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003e10.1016/j.jacc.2016.03.004\u003c/span\u003e\u003cspan address=\"10.1016/j.jacc.2016.03.004\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eCauses of death statistics by age group. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://ec.europa.eu/eurostat/statistics-explained/index.php?title=Causes_of_death_statistics_by_age_group\u003c/span\u003e\u003cspan address=\"https://ec.europa.eu/eurostat/statistics-explained/index.php?title=Causes_of_death_statistics_by_age_group\" targettype=\"URL\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e. Accessed 19th February 2025.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eCardiovascular diseases Statistics. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://ec.europa.eu/eurostat/statistics-explained/index.php?title=Cardiovascular_diseases_statistics\u003c/span\u003e\u003cspan address=\"https://ec.europa.eu/eurostat/statistics-explained/index.php?title=Cardiovascular_diseases_statistics\" targettype=\"URL\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e. Accessed 19th February 2025.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eEurostat. Revision of the European Standard Population. [online]. Dostępny w: \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://ec.europa.eu/eurostat/documents/3859598/5926869/KS-RA-13-028-EN.PDF/e713fa79-1add-44e8-b23d-5e8fa09b3f8f\u003c/span\u003e\u003cspan address=\"https://ec.europa.eu/eurostat/documents/3859598/5926869/KS-RA-13-028-EN.PDF/e713fa79-1add-44e8-b23d-5e8fa09b3f8f\" targettype=\"URL\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e. Accessed 2nd January 2025.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eKim H, Fay MP, Feuer EJ, Midthune DN. Permutation tests for joinpoint regression with applications to cancer rates. Stat Med. 2000;19:335\u0026ndash;51. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003e10.1002/sim.811\u003c/span\u003e\u003cspan address=\"10.1002/sim.811\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eZatonski WA, McMichael AJ, Powles JW. Ecological study of reasons for sharp decline in mortality from ischaemic heart disease in Poland since 1991. BMJ. 1998;316:1047\u0026ndash;51. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003e10.1136/bmj.316.7137.1047\u003c/span\u003e\u003cspan address=\"10.1136/bmj.316.7137.1047\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eWojtyniak B, Goryński P. Health situation of the Polish population and its determinants. National Institute of Public Health [article in Polish]. Warszawa 2020: 15\u0026ndash;607.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eBandosz P, O\u0026rsquo;Flaherty M, Drygas W, et al. Decline in mortality from coronary heart disease in Poland after socioeconomic transformation: modelling study. BMJ. 2012;344:d8136. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003e10.1136/bmj.d8136\u003c/span\u003e\u003cspan address=\"10.1136/bmj.d8136\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eKwaśniewska M, Pikala M, Bielecki W, Dziankowska-Zaborszczyk E, Rebowska E, et al. Ten-year changes in the prevalence and socio-demographic determinants of physical activity among polish adults aged 20 to 74 years. Results of the national multicenter health surveys WOBASZ (2003\u0026ndash;2005) and WOBASZ II (2013\u0026ndash;2014). PLoS ONE. 2016;11:e0156766. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003e10.1371/journal.pone.0156766\u003c/span\u003e\u003cspan address=\"10.1371/journal.pone.0156766\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eStepaniak U, Micek A, Waśkiewicz A, Bielecki W, Drygas W, Janion M, et al. Prevalence of general and abdominal obesity and overweight among adults in Poland. Results of the WOBASZ II study (2013\u0026ndash;2014) and comparison with the WOBASZ study (2003\u0026ndash;2005). Pol Arch Med Wewn. 2016;126:662\u0026ndash;71. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003e10.20452/pamw.3499\u003c/span\u003e\u003cspan address=\"10.20452/pamw.3499\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eWaśkiewicz A, Szcześniewska D, Szostak-Wegierek D, Kwaśniewska M, Pajak A, Stepaniak U, et al. Are dietary habits of the polish population consistent with the recommendations for prevention of cardiovascular disease?\u0026mdash;WOBASZ II project. Kardiol Pol. 2016;74:969\u0026ndash;77. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003e10.5603/KP.a2016.0003\u003c/span\u003e\u003cspan address=\"10.5603/KP.a2016.0003\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eNikitas C, Kikidis D, Bibas A, Pavlou M, Zachou Z, Bamiou DE. Recommendations for physical activity in the elderly population: A scoping review of guidelines. J Frailty Sarcopenia Falls. 2022;7:18\u0026ndash;28. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003e10.22540/JFSF-07-018\u003c/span\u003e\u003cspan address=\"10.22540/JFSF-07-018\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eLanghammer B, Bergland A, Rydwik E. The importance of physical activity exercise among older people. Biomed Res Int. 2018;5:7856823. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003e10.1155/2018/7856823\u003c/span\u003e\u003cspan address=\"10.1155/2018/7856823\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eXing Y, Yang SD, Wang MM, Feng YS, Dong F, Zhang F. The Beneficial Role of Exercise Training for Myocardial Infarction Treatment in Elderly. Front Physiol. 2020;11:270. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003e10.3389/fphys.2020.00270\u003c/span\u003e\u003cspan address=\"10.3389/fphys.2020.00270\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eBiernat E, Piatkowska M. Leisure-time physical activity participation trends 2014\u0026ndash;2018: a cross-sectional study in Poland. Int J Environ Res Public Health. 2019;17:208. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003e10.3390/ijerph17010208\u003c/span\u003e\u003cspan address=\"10.3390/ijerph17010208\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eDąbrowski W, Jagiełło K, Mossakowska M, Suligowska K, Zdrojewski TR, Chudek J, G\u0026oacute;rska R. Evaluating changes in dental status among Polish older adults over a decade: A comparative analysis of PolSenior (2009) and PolSenior2 (2019) surveys. Dent Med Probl. 2025;62(1):23\u0026ndash;30. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003e10.17219/dmp/196535\u003c/span\u003e\u003cspan address=\"10.17219/dmp/196535\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eBowden Davies KA, Pickles S, Sprung VS, et al. Reduced physical activity in young and older adults: metabolic and musculoskeletal implications. Therapeutic Adv Endocrinol Metabolism. 2019;10. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003e10.1177/2042018819888824\u003c/span\u003e\u003cspan address=\"10.1177/2042018819888824\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eInformacja o sytuacji os\u0026oacute;b. starszych na podstawie badań Gł\u0026oacute;wnego Urzędu Statystycznego. Warszawa: GUS; 2018.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003ePikala M, Burzyńska M. Mortality and Years of Life Lost from Diabetes Mellitus in Poland: A Register-Based Study (2000\u0026ndash;2022). Nutrients 2024, 16, 3597. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/10.3390/nu16213597\u003c/span\u003e\u003cspan address=\"10.3390/nu16213597\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eGlobal Obesity Observatory. Available online: \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://data.worldobesity.org/country/poland-173/#data_trends\u003c/span\u003e\u003cspan address=\"https://data.worldobesity.org/country/poland-173/#data_trends\" targettype=\"URL\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e. Accessed 20 February 2025.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eEurostat. 2020. Overweight and obesity - BMI statistics. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://ec.europa.eu/eurostat/statisticsexplained/index.php?title=Overweight\u003c/span\u003e\u003cspan address=\"https://ec.europa.eu/eurostat/statisticsexplained/index.php?title=Overweight\" targettype=\"URL\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e _ and _ obesity _ - _ BMI _ statistics#Obesity _ by _ age _ group. Accessed 20 February 2025.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eLi W, Chen D, Peng Y, Lu Z, Kwan MP, Tse LA. Association Between Metabolic Syndrome and Mortality: Prospective Cohort Study. JMIR Public Health Surveill. 2023;9:e44073. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003e10.2196/44073\u003c/span\u003e\u003cspan address=\"10.2196/44073\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eRajca A, Wojciechowska A, Śmigielski W, Drygas W, Piwońska A, Pająk A, Tykarski A, Kozakiewicz K, Kwaśniewska M, Zdrojewski T. Increase in the prevalence of metabolic syndrome in Poland: comparison of the results of the WOBASZ (2003\u0026ndash;2005) and WOBASZ II (2013\u0026ndash;2014) studies. Pol Arch Intern Med. 2021;131(6):520\u0026ndash;6.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eShen X, Yin F, Jiao C. Predictive Models of Life Satisfaction in Older People: A Machine Learning Approach. Int J Environ Res Public Health. 2023;20(3):2445. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003e10.3390/ijerph20032445\u003c/span\u003e\u003cspan address=\"10.3390/ijerph20032445\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eMensah GA, Wei GS, Sorlie PD, Fine LJ, Rosenberg Y, Kaufmann PG. Decline in Cardiovascular Mortality: Possible Causes and Implications. Circ Res. 2017;120(2):366\u0026ndash;80. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003e10.1161/CIRCRESAHA.116.309115\u003c/span\u003e\u003cspan address=\"10.1161/CIRCRESAHA.116.309115\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eUnal B, Critchley JA, Capewell S. Explaining the decline in coronary heart disease mortality in England and Wales between 1981 and 2000. Circulation.109(9):1101-7; \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003e10.1161/01.CIR.0000118498.35499.B2\u003c/span\u003e\u003cspan address=\"10.1161/01.CIR.0000118498.35499.B2\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003ePsota M, Bandosz P, Gon\u0026ccedil;alvesov\u0026aacute; E, Avdičov\u0026aacute; M, Bucek Pšenkov\u0026aacute; M, Studenčan M. Explaining the decline in coronary heart disease mortality rates in the Slovak Republic between 1993\u0026ndash;2008. PLoS ONE. 2018;13(1):e0190090. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003e10.1371/journal.pone.0190090\u003c/span\u003e\u003cspan address=\"10.1371/journal.pone.0190090\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eKr\u0026auml;mer C, Meisinger C, Kirchberger I, Heier M, Kuch B, Thilo C. Epidemiological trends in mortality, event rates and case fatality of acute myocardial infarction from 2004 to 2015: results from the KORA MI registry. Ann Med. 2021;53(1):2142\u0026ndash;52. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003e10.1080/07853890.2021.2002926\u003c/span\u003e\u003cspan address=\"10.1080/07853890.2021.2002926\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eHodgson TA, Cohen AJ. Medical care expenditures for selected circulatory diseases: opportunities for reducing national health expenditures. Med Care. 1999;37(10):994\u0026ndash;1012.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eJones CH, Dolsten M. Healthcare on the brink: navigating the challenges of an aging society in the United States. NPJ Aging. 2024;10(1):22. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003e10.1038/s41514-024-00148-2\u003c/span\u003e\u003cspan address=\"10.1038/s41514-024-00148-2\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e. Erratum in: NPJ Aging. 2024; 10(1):25; doi: 10.1038/s41514-024-00153-5.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eHofman A. Recent trends in cardiovascular epidemiology. Eur J Epidemiol. 2009;24(12):721\u0026ndash;3. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003e10.1007/s10654-009-9410-3\u003c/span\u003e\u003cspan address=\"10.1007/s10654-009-9410-3\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eSapna F, Raveena F, Chandio M, Bai K, Sayyar M, Varrassi G, Khatri M, Kumar S, Mohamad T. Advancements in Heart Failure Management: A Comprehensive Narrative Review of Emerging Therapies. Cureus. 2023;15(10):e46486. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003e10.7759/cureus\u003c/span\u003e\u003cspan address=\"10.7759/cureus\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eBrouwer ED, Watkins D, Olson Z, et al. Provider costs for prevention and treatment of cardiovascular and related conditions in low- and middle-income countries: a systematic review. BMC Public Health. 2015;15:1183. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003e10.1186/s12889-015-2538-z\u003c/span\u003e\u003cspan address=\"10.1186/s12889-015-2538-z\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e.\u003c/span\u003e\u003c/li\u003e\u003c/ol\u003e"}],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":true,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":false,"hideJournal":false,"highlight":"","institution":"","isAcceptedByJournal":false,"isAuthorSuppliedPdf":false,"isDeskRejected":"","isHiddenFromSearch":false,"isInQc":false,"isInWorkflow":false,"isPdf":false,"isPdfUpToDate":true,"isWithdrawnOrRetracted":false,"journal":{"display":true,"email":"[email protected]","identity":"bmc-public-health","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":false,"externalIdentity":"pubh","sideBox":"Learn more about [BMC Public Health](http://bmcpublichealth.biomedcentral.com/)","snPcode":"","submissionUrl":"https://www.editorialmanager.com/pubh/default.aspx","title":"BMC Public Health","twitterHandle":"@BMC_series","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"em","reportingPortfolio":"BMC Series","inReviewEnabled":true,"inReviewRevisionsEnabled":true},"keywords":"cardiovascular diseases, ageing, mortality trends","lastPublishedDoi":"10.21203/rs.3.rs-7687490/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-7687490/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003ch2\u003eBackground\u003c/h2\u003e \u003cp\u003e. To assess trends in cardiovascular mortality among people aged 65 years and older in Poland in the period 2000\u0026ndash;2022.\u003c/p\u003e\u003ch2\u003eMethods\u003c/h2\u003e \u003cp\u003e. Mortality rates for women and men were analysed separately in two groups: early old age (65\u0026ndash;74 years) and late old age (75+). The analysis of time trends has been carried out with joinpoint models. The Annual Percentage Change (APC) and the Average Annual Percentage Change (AAPC) and standardized death rates (SDRs) were calculated.\u003c/p\u003e\u003ch2\u003eResults\u003c/h2\u003e \u003cp\u003e. In 2000, cardiovascular diseases (CVD) were responsible for 45.6% of deaths in men in early old age (65\u0026ndash;74 years) and for 56.2% of deaths in men in late old age (75 years or older). In the female group, these values were 48.4% and 63.3%, respectively. In 2022, the proportion of deaths due to cardiovascular diseases decreased in all groups respectively to 31.7%, 39.7%, 26.6% and 47.4%. SDRs also decreased: from 2069.8 to 1109.4 per 100,000 among men aged 65\u0026ndash;74; from 7928.6 to 4326.7 per 100,000 among men 75+. Among women in early and late olde age rates decreased respectively from 1027.3 to 427.3 and from 6452.0 to 3631.1 per 100,000.\u003c/p\u003e\u003ch2\u003eConclusions.\u003c/h2\u003e \u003cp\u003eCVD still represents a significant health risk, particularly in the oldest people.\u003c/p\u003e","manuscriptTitle":"Trend analysis of cardiovascular disease mortality in the population aged 65 and over in Poland: results from a registry study (2000-2022)","msid":"","msnumber":"","nonDraftVersions":[{"code":1,"date":"2025-12-31 09:44:44","doi":"10.21203/rs.3.rs-7687490/v1","editorialEvents":[{"type":"communityComments","content":0},{"type":"editorInvitedReview","content":"","date":"2026-01-04T02:06:39+00:00","index":"hide","fulltext":""},{"type":"editorInvitedReview","content":"","date":"2025-12-31T06:09:59+00:00","index":"hide","fulltext":""},{"type":"reviewerAgreed","content":"235099050762609677032457044089442983753","date":"2025-12-31T06:05:23+00:00","index":"hide","fulltext":""},{"type":"reviewerAgreed","content":"336575649236862495717181735546148539967","date":"2025-12-26T22:38:29+00:00","index":"hide","fulltext":""},{"type":"reviewersInvited","content":"","date":"2025-12-26T05:52:03+00:00","index":"","fulltext":""},{"type":"editorInvited","content":"","date":"2025-12-02T05:36:02+00:00","index":"","fulltext":""},{"type":"checksComplete","content":"","date":"2025-09-24T09:02:35+00:00","index":"","fulltext":""},{"type":"editorAssigned","content":"","date":"2025-09-24T09:02:35+00:00","index":"","fulltext":""},{"type":"submitted","content":"BMC Public Health","date":"2025-09-22T19:02:31+00:00","index":"","fulltext":""}],"status":"published","journal":{"display":true,"email":"[email protected]","identity":"bmc-public-health","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":false,"externalIdentity":"pubh","sideBox":"Learn more about [BMC Public Health](http://bmcpublichealth.biomedcentral.com/)","snPcode":"","submissionUrl":"https://www.editorialmanager.com/pubh/default.aspx","title":"BMC Public Health","twitterHandle":"@BMC_series","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"em","reportingPortfolio":"BMC Series","inReviewEnabled":true,"inReviewRevisionsEnabled":true}}],"origin":"","ownerIdentity":"5db43b70-9857-42b9-8251-3e3de7fe9883","owner":[],"postedDate":"December 31st, 2025","published":true,"recentEditorialEvents":[],"rejectedJournal":[],"revision":"","amendment":"","status":"under-review","subjectAreas":[],"tags":[],"updatedAt":"2025-12-31T09:44:44+00:00","versionOfRecord":[],"versionCreatedAt":"2025-12-31 09:44:44","video":"","vorDoi":"","vorDoiUrl":"","workflowStages":[]},"version":"v1","identity":"rs-7687490","journalConfig":"researchsquare"},"__N_SSP":true},"page":"/article/[identity]/[[...version]]","query":{"redirect":"/article/rs-7687490","identity":"rs-7687490","version":["v1"]},"buildId":"8U1c8b4HqxoKbykW_rLl7","isFallback":false,"isExperimentalCompile":false,"dynamicIds":[84888],"gssp":true,"scriptLoader":[]}