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Deckovic-Vukres Vlasta * 1,3,4 , Hrabak-Zerjavic Vlasta 1,3,4 , Erceg Marijan 1,3,4 , Mustajbegovic Jadranka 2,3,4 1 Croatian National Institute of Public Health, 2 School of Public Health A. Stampar, Medical School, University of Zagreb, 3 Zagreb, 4 Croatia E-mail: [email protected]
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Deckovic-Vukres Vlasta *1,3,4, Hrabak-Zerjavic Vlasta1,3,4,

Erceg Marijan 1,3,4, Mustajbegovic Jadranka2,3,4

1Croatian National Institute of Public Health, 2School of Public Health A. Stampar, Medical School,

University of Zagreb, 3Zagreb, 4CroatiaE-mail: [email protected]

INTRODUCTION

According to mortality due to cardiovasculardiseases (CVDs), Croatia, with its standardizedmortality rate of 401/100,000 in 2008, belongs toEuropean countries with medium high mortalityrates.

The CVD group is based on ICD-10 codes I00-I99

Ischemic heart diseases (IHD): I20-I25, Cerebrovascular diseases I60-I69.

STUDY OBJECTIVE

This paper analyzes possible causal connectionbetween socioeconomic determinants of health(education and employment) and mortality dueto selected CVDs in Croatia in the period of 2000-2009 .

Study objective is to ascertain, based on mortalitydata, whether Croatia is experiencing inequalitiesin the burden of CVDs on given populationsubgroups.

METHODOLOGY

Data for mortality analysis were from the Central Bureau of Statistics of the Republic of Croatia, documentation for the period 2000-2009 and Croatian National Institute of Public Health.

For every case of death, data on age, sex, ICD-10 coded cause of death, education, employment and marital status of the deceased were processed.

The data was analyzed using EpiInfo3.3 program support.

RESULTS The analysis included data on the overall

263,140 deaths due to CVDs for the monitored ten-year period (2000-2009).

According to years of schooling, the number of deaths for both sexes and both disease groups decreased in inverse proportion to the length of schooling.

The largest share of IHD deaths (53.6%) were related to persons who had received eight or less years of schooling, 21% had 9-12 years, while 3.3% 12 or more yrs.

If analyzing the level of education by sex and age groups ≤64 and 65+, the IHD mortality rate of younger men was highest at 9-12 yrs of schooling (60.43/100,000), medium in the group with 12 or more years of education (50.4/100,000), and lowest in persons with elementary school diploma or less (39.6/100,000). (Figure 1a,b).

In cerebrovascular mortality, 61.6% was associated with the group with 8 or fewer years of schooling, 17% with 9-12 years, and 2.2% with 12 or more years of education. (Figure 2)

Figure 1.a. IHD mortality rates by education level and sex at the age of 0-64

50,37

39,64

60,43

6,14

14,71

11,89

0,00

10,00

20,00

30,00

40,00

50,00

60,00

70,00

8 and less 9-12 +12

Education (year)

Rate

/100.0

00

Male Female

Figure 1.b. IHD mortality rates by education level and sex at the age of 65+

495,64

280,58

1184,67

1014,48

840,85

1107,72

0,00

200,00

400,00

600,00

800,00

1000,00

1200,00

1400,00

8 i manje 9-12 +12

Education (years)

Rate

/100.0

00

Male Female

Figure 2. Cerebrovascular mortality rates by education level, age and sex

27,00

1109,01

16,79

857,21

29,45

706,67

13,15

832,39

19,89

280,53

7,50

226,62

0

200

400

600

800

1000

1200

Male; 0-64 Male; 65+ Female; 0-64 Female; 65+

Gender; Age

Ra

te/1

00

.00

0

8 and less 9-12 +12

If analyzing cerebrovascular mortality by employment, sex and age under 64, the predominant male group were retirees (mortality rate: 170.2/100,000), though still at an occupationally active age, followed by the unemployed population (20.8) and other (farmers and freelancers). (Figure 3).

The highest mortality rate in women under 64 was also registered among retirees (70.5/100,000), though significantly lower than in men of identical age, followed by housewives (36.9) and unemployed women (7.3).

Figure 3. Cerebrovascular mortality rates by employment and gender at the age of 0-64

14,81

3,420,00

36,78

6,941,36

70,54

170,17

20,77 7,33

0

20

40

60

80

100

120

140

160

180

Male Female

Gender

Rate

/100.0

00

Other Housewife Unemployed Retired Employed

An analysis of IHD mortality with regard to gender and age under 64 in men yielded the finding that pensioners (285.5/100,000) (though still at an occupationally active age) again had the highest mortality rate, considerably higher than in the case of cerebrovascular mortality. The employed listed second, with a multiply lower rate (50.5/100,000), and the unemployed third (20.7/100,000) (Figure 4).

In women under 64, the highest IHD mortality rate was also documented in retirees (68.9/100,000), though dramatically lower than in men of same age, followed by housewives (35.2) and the unemployed (5.9/100,000).

Figure 4. IHD mortality rates by employment status and gender at the age of 0-64

0 2,28

68,94

50,53 35,15

20,73

285,51

5,88

0

50

100

150

200

250

300

Male Female

Gender

Rate

/100.0

00

Housewife Unemployed Retired Employed

CONCLUSIONS1. The overall standardized CVD mortality rate for Croatia

since 2000 has shown a continuous decrease.

2. An analysis of the level of education showed that the share of deaths in both sexes for both ischemic heart disease and cerebrovascular diseases has dropped in inverse proportion to the length of schooling.

3. Another important observed health determinant was employment status. Of the total deaths from cerebrovascular diseases and ischemic heart disease the largest mortality share and rate were, as expected, that of retirees for both types of diseases, followed by housewives. According to gender, in men the second place was taken by employed persons; housewives in women.

4. Unemployment is a risk factor for both IHD andcerebrovascular diseases. High incidence of deathsamong pensioners of the occupationally active age ispartly a reflection of retirement for health reasons (anearly retirement often has a variety of other reasonswhich could cause additional stress). A high share ofhousewives in the recorded death cases could beexplained by some of them being unemployed, butalso by the low value ascribed to managing ahousehold, thus further increasing the stress in ahomemaker.

REFERENCES1. Wilkinson R, Marmot M, eds.: Social Determinants of Health. The solid facts. Sec.ed. Who,

Copenhagen 2003. pp1-31.

2. Schwarz F: Causes of death contributing to educational mortality disparities in Austria. Wien Klin

Wochenschr. 2007; 119:309-317.

3. Report on deaths in Croatia 2000-2009. Croatian National Institute of Public Health. Zagreb 2001

– 2010.

4. Morris JK, Cook DG, Shaper AG: Loss of employment and mortality. BMJ 1994 Apr 30;

308(6937):1135-9.

5. Beauchamp A, Peeters A, Wolfe R, Turrell G, Harriss LR , Giles GG, English DR, McNeil J,

Magliano D, Harrap S, Liew D, Hunt D, Tonkin A: Inequalities in cardiovascular disease

mortality: the role of behavioural, physiological and social risk factors. J Epidemiol Community

Health 2010;64:542-548 doi:10.1136/jech.2009.094516.


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