Hostname: page-component-586b7cd67f-vdxz6 Total loading time: 0 Render date: 2024-11-23T01:42:41.411Z Has data issue: false hasContentIssue false

Association of BMI and nutritional habits with hypertension in the adult population of Croatia

Published online by Cambridge University Press:  01 January 2009

Ana Ivičević Uhernik*
Affiliation:
Croatian National Institute of Public Health, Rockefellerova 7, 10000 Zagreb, Croatia
Marijan Erceg
Affiliation:
Croatian National Institute of Public Health, Rockefellerova 7, 10000 Zagreb, Croatia
Sanja Musić Milanović
Affiliation:
Croatian National Institute of Public Health, Rockefellerova 7, 10000 Zagreb, Croatia
*
*Corresponding author: Email [email protected]
Rights & Permissions [Opens in a new window]

Abstract

Objective

The purpose of the present study was to investigate the distribution of hypertension, its nutritional and other determinants and their association in Croatia.

Design

Population-based, cross-sectional study.

Setting

Croatia.

Subjects

Representative random sample of 9070 adults (18 years and older) from all Croatian regions, selected using multistage sampling.

Results

Overall prevalence of hypertension (arterial blood pressure ≥140/90 mmHg) in Croatia was 45·5 %, of which 40 % were newly diagnosed hypertensives. There was no difference in the percentage of hypertensives between the continental and Mediterranean parts of Croatia. Newly diagnosed hypertension was found to be positively associated with increased BMI, age and alcohol consumption in the total sample and with moderate consumption of coffee in women, as well as inversely associated with regular consumption of fruits and vegetables in the total sample and high consumption of coffee in the total sample and in men. No association with newly diagnosed hypertension was recorded for use of animal fat, consumption of whole milk, smoked meat products, for adding salt, smoking and leisure-time physical activity.

Conclusions

Hypertension is a major public health problem in both continental and Mediterranean parts of Croatia. Maintenance of normal body mass, its reduction if already increased, and regular consumption of fruits and vegetables are proposed as priorities for primary prevention of hypertension in Croatia.

Type
Research Paper
Copyright
Copyright © The Authors 2008

High blood pressure is one of the most important health problems in Croatia owing to its association with IHD, which is the leading cause of death among Croatians(1), and cerebrovascular disease(Reference Kannel, Wolf, Verter and McNamara2Reference MacMahon, Peto, Cutler, Collins, Sorlie, Neaton, Abbott, Godwin, Dyer and Stamler4). In order to successfully reduce the prevalence of high blood pressure in Croatia, it is necessary to know and influence the factors which cause it.

A great number of studies on different populations have identified certain factors as being associated with high blood pressure. Some of them have been clearly associated with high blood pressure in the majority of studies, e.g. older age and increased body mass, while for many other factors, such as smoking, alcohol, coffee, nutrition, salt, physical activity and stress, results evaluating their association with high blood pressure have been conflicting(Reference Kornitzer, Dramaix and De Backer5Reference Stamler, Caggiula, Grandits, Kjelsberg and Cutler11).

The previous studies conducted in Croatia were on smaller samples, often taken from one or a few settlements which could not be considered representative for a certain region nor for the country as a whole. Results from these studies were conflicting, with the prevalence of high blood pressure varying from 16·7 % up to 54 % in the adult population of Croatia(Reference Mimica, Čerič and Kulčar12Reference Turek, Rudan and Smolej Narančić15). Studies on the difference in high blood pressure prevalence among the regions in Croatia also provided conflicting results: some stated a greater prevalence of hypertension in the continental part of Croatia(Reference Jelaković, Kuzmanić, Rončević, Boršo, Laganović and Vdović14, Reference Vuletić, Kern, Ivanković, Kujundžić and Šošić16), others in the Mediterranean part(Reference Turek, Rudan and Smolej Narančić15). In previous studies exploring the association of high blood pressure with different risk factors in the Croatian population, older age and increased body mass were shown to be constantly and most strongly associated with high blood pressure(Reference Mimica, Čerič and Kulčar12, Reference Jelaković, Kuzmanić, Rončević, Boršo, Laganović and Vdović14, 17Reference Pucarin-Cvetković, Mustajbegović, Doko Jelinić, Senta, Nola, Ivanković, Kaić-Rak and Milošević19).

The present study is part of the Croatian Adult Health Survey 2003. For the first time, the prevalence of high blood pressure and potential risk factors, including nutritional habits, have been recorded in a sufficiently large sample, representative of the entire population of Croatia and its regions. The results of this research will serve as the evidence base for developing policy to reduce the burden of CVD and preparing interventions for people with cardiovascular risk factors(Reference Kern, Strnad, Ćorić and Vuletić20). Therefore, it is of great importance to explore the association between blood pressure and possible risk factors causing its increase in the population of Croatia, as well as possible differences in the distribution of hypertension between the continental and Mediterranean parts of Croatia.

Methods

Sample

The sample comprised 10 766 people older than 18 years from six Croatian regions (northern, southern, eastern, western, central and city of Zagreb) which reflect natural geographic characteristics as well as specifics in population structure and origin, tradition and lifestyle. The northern, eastern and central regions as well as the city of Zagreb are situated in the continental part of Croatia in which nutritional habits and lifestyle resemble those in Central European countries (Hungary, Slovenia, Austria), while the western and southern regions mainly encompass the coastal area and are characterized by Mediterranean-type nutritional habits and lifestyle that have been reported as inversely associated with hypertension and cardiovascular mortality(Reference Kokkinos, Panagiotakos and Polychronopoulos21, Reference Psaltopoulou, Naska, Orfanos, Trichopoulos, Mountokalakis and Trichopoulou22) (Fig. 1).

Fig. 1 Regions in Croatia

The 2001 Croatian Census of Population was used to select a representative sample of households to be included in the present survey. In order to produce reliable estimates at regional level, the total sample was first allocated to the six regions proportionally to the square root of the estimated population in each region; this allocation strategy balances the reliability of the estimates for both regional and country levels. The country was stratified into twenty design strata which were based on city type (town/municipality) and counties in order to take into account the differences in the population. The sample size of each region was then proportionally allocated among the design strata. A sample of households was selected within each stratum through a three-stage process using the probability-proportional-to-size systematic random approach. Interviewers listed names of everyone aged 18 years and over living in the selected household and one individual was selected from the list using a table of random numbers. These individuals comprise the sample of the present survey.

Data were collected by public health nurses from April to June 2003. They took anthropometric measures such as height, weight and blood pressure, and interviewed respondents. Blood pressure was measured twice using a mercury sphygmomanometer, with respondents seated for 20 min between the measurements. Nutritional and other habits were reported by respondents and recorded on questionnaires by the public health nurses during the interviews.

Response was obtained from 9070 individuals, resulting in an overall response rate of 84·2 %.

Each person who answered the survey was given a survey weight which corresponded to the number of persons represented by the respondent for the entire population. The survey weight calculation procedure included adjustment for the multistage sample design and non-response as well as post-stratification, which was done to ensure that the sum of the final weights corresponded to the population counts at the regional level.

Variables

Respondents who stated that they had never been diagnosed with hypertension, but whose average blood pressure calculated from two measurements was ≥140 mmHg for systolic or ≥90 mmHg for diastolic blood pressure, were categorized as newly diagnosed hypertensives. Respondents who stated that they had been diagnosed with hypertension prior to the survey were categorized as known hypertensives. The total number of hypertensives included newly diagnosed and known hypertensives, with the addition of five respondents who did not state whether they had been previously diagnosed with hypertension (so it was not possible to categorize them as either newly diagnosed or known hypertensives) and who had average blood pressure ≥140/90 mmHg.

The distribution of and association with newly diagnosed high blood pressure was analysed for the following variables: age (according to seven groups: 18–24, 25–34, 35–44, 45–54, 55–64, 65–74, ≥75 years), increased BMI, use of animal fat for food preparation, use of whole milk, moderate and high coffee consumption, regular fruits and/or vegetables consumption, smoked meat products consumption, adding salt, moderate and high alcoholic beverages consumption, smoking and leisure-time physical activity (Table 1).

Table 1 Definition of variables

Statistical analyses

Hypertension prevalence was calculated for men and women separately in seven age groups, for the entire Croatian population and for the continental and Mediterranean parts. The prevalence of potential risk factors was also calculated among men and women separately, for Croatia overall and separately for the continental and Mediterranean parts of the country. The association between newly diagnosed hypertension and different potential risk factors was assessed by multiple logistic regression analyses, separately for men and women. Respondents with known hypertension were not included in these calculations because of the possibility that they had changed their habits owing to awareness of hypertension.

Statistical analyses were performed using the Statistical Package for the Social Sciences statistical software package version 14·01 (SPSS Inc. Chicago, IL, USA) and the BOOTVARE_V21.SPS program version 2·1 (Statistics Canada, Ottawa, Canada), which computes variances for ratios and logistic regression models using the bootstrap method that accounts for sample design information when calculating variance estimates. The CV calculated by the BOOTVARE_V21.SPS program was used for measuring the potential size of the sampling error in order to determine whether estimates from the survey could be applied to the general population(Reference Rust and Rao23Reference Beland, Bailie and Page25).

Results

Prevalence of hypertension

The overall prevalence of hypertension in the Croatian population older than 18 years was 45·5 %. Out of the entire number of hypertensives, 60 % were known hypertensives and 40 % were newly diagnosed. Hypertension prevalence was the lowest in the age group 18–24 years and the greatest in the age group ≥75 years. In the age groups 18–24, 25–34 and 35–44 years, the prevalence of hypertension was greater among men, while in older age groups the prevalence was greater among women. The percentage of newly diagnosed hypertensives was greater in men than in women for all age groups (Table 2). There were no differences between the continental and Mediterranean parts of Croatia in either the total percentage of hypertensives or the percentage of newly diagnosed hypertensives (Table 3).

Table 2 Distribution of hypertensives in Croatia: Croatian Adult Health Survey 2003

*Unacceptably high sampling variability; this estimate cannot be applied to the entire population.

†High sampling variability is associated with this estimate.

Table 3 Distribution of hypertensives in continental and Mediterranean parts of Croatia: Croatian Adult Health Survey 2003

Prevalence of increased BMI and nutritional and other habits

The percentage of men with increased BMI (≥25 kg/m2) was greater than that of women in both continental and Mediterranean parts of Croatia. No differences were recorded between continental and Mediterranean Croatia in the percentage of men with increased BMI, while the percentage of women with increased BMI was greater in the continental part. Use of animal fat for food preparation was much more common in continental Croatia, with no differences between men and women. More men drank whole milk in continental than in Mediterranean Croatia, while such difference was not present among women. In the continental part, more women than men reported moderate coffee consumption, while there were no differences between men and women in high coffee consumption. Larger percentages of both men and women in continental than in Mediterranean Croatia reported high coffee consumption, while such difference was not present for moderate coffee consumption. Regular consumption of fruits and vegetables was more common among women than among men in the continental part of Croatia, while no such difference was observed for the Mediterranean part. A greater percentage of men than women consumed smoked meat products in both parts and more women in continental Croatia consumed smoked meat products compared with Mediterranean Croatia. In the continental part more men than women reported moderate alcoholic beverages consumption, while such difference was not present in the Mediterranean part. In both regions many more men reported high alcohol consumption than women. No significant differences were recorded between continental and Mediterranean Croatia in the percentage of women with moderate or high alcohol consumption. More men had high alcohol consumption in the Mediterranean part compared with the continental part, while such difference was not recorded for moderate alcohol consumption. In both regions, more men than women added salt to their meals and smoked, while no differences were recorded for leisure-time physical activity, either between sexes or between regions (Table 4).

Table 4 Distribution of increased BMI, nutritional habits, smoking and physical activity: Croatian Adult Health Survey 2003

*High sampling variability is associated with this estimate.

Association between possible risk factors and hypertension

As the next step, we analysed the association between possible risk factors and newly diagnosed hypertension using multiple logistic regression models.

Hypertension was significantly positively related to increased BMI and age among both men (BMI: OR = 2·6, P < 0·001; age: OR = 1·4, P < 0·001) and women (BMI: OR = 2·5, P < 0·001; age: OR = 1·9, P < 0·001). Moderate coffee consumption was positively related to the risk of hypertension in women (OR = 1·5, P = 0·014), while high coffee consumption was inversely related to the risk of hypertension in men (OR = 0·5, P = 0·001) and in the total sample (OR = 0·6, P = 0·001). Consumption of fruits and/or vegetables at least once daily reduced the risk of hypertension among the total sample (OR = 0·7, P = 0·011), but it was not significant among men or women separately. Moderate and high alcoholic beverages consumption were positively related to the risk of hypertension in the total sample (moderate alcohol consumption: OR = 1·2, P = 0·039; high alcohol consumption: OR = 1·5, P = 0·009). No other significant associations were recorded (Table 5).

Table 5 Odds of having newly diagnosed hypertension according to the presence of risk factors: Croatian Adult Health Survey 2003

Discussion

The prevalence of hypertension in the adult population of Croatia is among the higher of the prevalences recorded in studies on world populations, which vary between 5·2 % in northern India(Reference Malhotra, Kumari, Kumar, Jain and Sharma26) and 55·3 % in Germany(Reference Thamm27). This emphasizes the importance of careful follow-up of the geographic distribution and trends in hypertension in Croatia, as well as the need to plan public health interventions. Hypertension prevalence in Croatia recorded in the present study is higher than that reported for other countries in transition: 39·1 % in the Czech Republic(Reference Cifkova28), 37 % in Hungary(Reference Jenei, Pall, Katona, Kakuk and Polgar29), 29 % in Poland(Reference Zdrojewski, Szpakowski, Bandosz, Pajak, Wiecek, Krupa-Wojciechowska and Wyrzykowski30) and 31·8 % in Albania(Reference Shapo, Pomerleau and McKee31). However, as the mentioned prevalences were not standardized according to age and sex, it is not possible to establish whether the differences in prevalence are due to different age and sex structures of these populations, differences in research methodologies or some other reasons.

The present study showed significant sex differences in the prevalence of hypertension in Croatia, with men being more likely to be hypertensive than women, similar to results from other countries in transition(Reference Shapo, Pomerleau and McKee31, Reference Grim, Grim, Petersen, Li, Tavill, Kipshidze, Chawla and Kipshidze32), and is due to the several times higher prevalence of hypertension in young men than in young women (<45 years).

Differently from the results of previous studies, in the present study we found no differences between continental and Mediterranean parts of Croatia in the prevalence of hypertension. Therefore, hypertension is an important problem which should be one of the priorities for public health action in all regions of Croatia, both continental and coastal.

We found several significant differences between continental and Mediterranean parts in some nutritional habits, i.e. use of animal fats, whole milk consumption and consumption of smoked meat products, which indicates that traditional differences in nutrition might still remain, at least partly. These results are in accordance with previous research which showed a high frequency of olive oil consumption in the population of four Croatian islands (situated in the Mediterranean part of Croatia), but also suggested possible decreased intake of typical Mediterranean foodstuffs and increased meat intake(Reference Pucarin-Cvetković, Mustajbegović, Doko Jelinić, Senta, Nola, Ivanković, Kaić-Rak and Milošević19). However, further studies should explore in more depth whether traditional differences in lifestyle between continental and coastal Croatia have reduced significantly, which provides a possible explanation for the lack of difference in hypertension prevalence, or whether differences in lifestyle still continue to exist but do not exhibit influence on hypertension.

Results of the present research confirm the association between increased body mass (measured by BMI) and hypertension in the Croatian population, which exists in both men and women. These results are in accordance with longitudinal studies which showed that increased body mass contributes to hypertension appearance regardless of age and sex(Reference Droyvold, Midthjell, Nilsen and Holmen33Reference Wilsgaard, Schirmer and Arnesen35). However, as the present study was cross-sectional, it was not possible to establish the timeline between increase in body mass and hypertension.

Previous data concerning the association of coffee consumption with hypertension have been conflicting. Evidence from several studies has suggested a connection of coffee consumption with increased blood pressure(Reference Klag, Wang, Meoni, Brancati, Cooper, Liang, Young and Ford36Reference Jee, He, Whelton, Suh and Klag38), but there are also studies which have recorded an inverse association between coffee consumption and blood pressure(Reference Stamler, Caggiula and Grandits39Reference Funatsu, Yamashita and Nakamura41). A stronger inverse connection between coffee consumption and blood pressure was observed for men than for women in a study in north Italy(Reference Salvaggio, Periti, Miano and Zambelli42). The positive association of coffee with hypertension in women and the inverse association in men recorded in the present study suggest that further research is needed, especially concerning possible differences between men and women in the effect of coffee on blood pressure.

A positive association between alcohol consumption and hypertension has been recorded in many studies(Reference Stamler, Caggiula and Grandits39, Reference He and Bazzano43Reference Kirchhoff, Torp-Pedersen, Hougaard, Jacobsen, Sjol, Munch, Tingleff, Jorgensen, Schroll and Ege Olsen45) and was confirmed in the present study. Gradation of risk according to the level of consumption was also recorded, with the highest risk among those who drink more than 7 drinks weekly. However, as the gradation of alcohol consumption levels was relatively rough and a significant association of alcohol and hypertension was recorded only for the total sample, more detailed research into the association between consumption of alcoholic beverages and hypertension is needed in the future.

Numerous studies on various populations have shown that regular consumption of fruits and vegetables reduces the risk of hypertension and other circulatory diseases(Reference Srinath Reddy and Katan46Reference Takashima, Ivase and Yoshida49), which can probably be explained by the beneficial combination of different nutrients in fruits and vegetables, including fibre, K and folate(Reference Bazzano, Serdula and Liu50). The DASH (Dietary Approaches to Stop Hypertension) study showed that a diet with a low intake of fat and a high intake of fruits and vegetables can reduce blood pressure significantly in different sex and age groups(Reference Appel, Moore and Obarzanek51Reference Harsha, Lin, Obarzanek, Karanja, Moore and Caballero53).

Increased salt consumption, which had been associated with hypertension in numerous previous studies(Reference Haddy54Reference Mascioli, Grimm, Launer, Svendsen, Flack, Gonzalez, Elmer and Neaton57), was not proved as a risk factor for hypertension in the present research. However, salt consumption in the present study was measured only through adding salt to the meal. The majority of salt intake occurs through salt hidden in foods(Reference Altschul and Grommet58, Reference Fodor, Whitmore, Leenen and Larochelle59) like bread, meat products, soups, cheese and snacks, which we did not measure. Therefore, further research comprising detailed records of salt intake (both as added salt and salt hidden in food) is recommended in order to explore the association between salt intake and hypertension.

Certain limitations of the present study should be taken into account when interpreting its results. Classification of respondents as hypertensive was made on the basis of an average from only two blood pressure measurements made in a relatively short time span. For practical reasons, all measurements and interviews were made during a single visit of a public health nurse to the respondent’s home. The fact that measurements were made by a public health nurse in the respondent’s home could reduce the incidence of ‘white coat hypertension’. Nutritional and other habits were reported by respondents as a part of a questionnaire and were therefore potentially prone to response and recall bias.

On the basis of the present results, we identified increased body mass as the main risk factor for hypertension in the Croatian population in general and in all regions. This finding suggests that priority for primary prevention of hypertension should be maintenance of normal body mass, as well as its reduction if it is already increased. It would be useful to perform further prospective studies (possibly as a follow-up of the present study on the same sample after a certain period) in order to explore the time aspect of the body mass–hypertension relationship. Regular consumption of fruits and vegetables could also be recommended as one of the means for preventing hypertension. Concerning coffee and alcoholic beverages consumption, additional research is necessary prior to any definite conclusions and recommendations.

The prevalence of total and newly diagnosed hypertensives also emphasizes the importance of secondary prevention, i.e. early detection of hypertension by regular blood pressure measurements. As 40 % of hypertensives were newly diagnosed (18 % of the total adult population), improvement of secondary prevention by more frequent blood pressure measurements among healthy adults stands up as a priority for action, especially for men under 45 years of age, among whom the newly diagnosed outnumber the known hypertensives.

Acknowledgements

The authors have no conflict of interest.

Authors’ contributions: All three authors participated in the design of the study, participated in the analysis and interpretation of the data, wrote and revised the manuscript, and approved the final version.

Sources of funding: This paper was prepared as a part of a scientific project entitled ‘Regionalism of cardiovascular behavioural risk factors – intervention model’ supported by the Croatian Ministry of Science, Education and Sport. The Croatian Adult Health Survey 2003 was funded by the Croatian Ministry of Health, Health System Project IBRD (loan 4513-0 HR).

Acknowledgements: We thank Professor S. Vuletić and Professor J. Kern for their support and guidance of the project.

References

1.Croa tian Central Bureau of Statistics (2005) Statistical Yearbook of the Republic of Croatia 2005. Zagreb: Croatian Central Bureau of Statistics.Google Scholar
2.Kannel, WB, Wolf, PA, Verter, JI & McNamara, PM (1970) Epidemiologic assessment of the role of blood pressure in stroke; the Framingham Study. JAMA 214, 301310.CrossRefGoogle ScholarPubMed
3.Kannel, WB (1987) Hypertension and other risk factors in coronary heart disease. Am Heart J 114, 918925.CrossRefGoogle ScholarPubMed
4.MacMahon, S, Peto, R, Cutler, J, Collins, R, Sorlie, P, Neaton, J, Abbott, R, Godwin, J, Dyer, A & Stamler, J (1990) Blood pressure, stroke, and coronary heart disease. Part 1, prolonged differences in blood pressure: prospective observational studies corrected for the regression dilution bias. Lancet 82, 717.Google Scholar
5.Kornitzer, M, Dramaix, M & De Backer, G (1999) Epidemiology of risk factors for hypertension: implications for prevention and therapy. Drugs 57, 695712.CrossRefGoogle ScholarPubMed
6.Diaz, ME (2002) Hypertension and obesity. J Hum Hypertens 16, Suppl. 1, 1822.CrossRefGoogle ScholarPubMed
7.Okosun, IS, Prewitt, TE & Cooper, RS (1999) Abdominal obesity in the United States: prevalence and attributable risk of hypertension. J Hum Hypertens 13, 425430.CrossRefGoogle ScholarPubMed
8.Nanchahal, K, Ashton, WD & Wood, DA (2000) Alcohol consumption, metabolic cardiovascular risk factors and hypertension in women. Int J Epidemiol 29, 5764.CrossRefGoogle ScholarPubMed
9.Omvik, P (1996) How smoking affects blood pressure. Blood Press 5, 7177.CrossRefGoogle ScholarPubMed
10.Halimi, JM, Giraudeau, B, Vol, S, Caces, E, Nivet, H & Tichet, J (2002) The risk of hypertension in men: direct and indirect effects of chronic smoking. J Hypertens 20, 187193.CrossRefGoogle ScholarPubMed
11.Stamler, J, Caggiula, A, Grandits, GA, Kjelsberg, M & Cutler, JA (1996) Relation to blood pressure of combinations of dietary macronutrients. Circulation 94, 24172423.CrossRefGoogle ScholarPubMed
12.Mimica, M, Čerič, B & Kulčar, Ž (1981) [Diastolic hypertension in samples of Croatian population]. Lijec Vjesn 103, 533537.Google Scholar
13.Vuletić, S, Bantić, Ž, Deželić, G et al. (1984) [A comprehensive programme for fighting chronic non-infectious diseases in basic population groups – the Belec study I. Evaluation of the extent of the problem]. Lijec Vjesn 106, 443447.Google Scholar
14.Jelaković, B, Kuzmanić, D, Rončević, T, Boršo, G, Laganović, M & Vdović, M (2000) [Epidemiology of arterial hypertension in Croatia 2000: EH-UH 2000]. Lijec Vjesn 122, 192194.Google ScholarPubMed
15.Turek, S, Rudan, I, Smolej Narančić, N et al. (2001) A large cross-sectional study of health attitudes, knowledge, behaviour and risks in the post-war Croatian population (The First Croatian Health Project). Coll Antropol 25, 7796.Google ScholarPubMed
16.Vuletić, S, Kern, J, Ivanković, D, Kujundžić, M & Šošić, Z (1991) Ageing without impairment and disease – cohort study: I. Baseline cohort characteristics. Coll Antropol 15, 197212.Google Scholar
17. Šošić Z (1991) [Predictive value of complex variables in epidemiology of arterial hypertension]. PhD Thesis, University of Zagreb.Google Scholar
18. Abramović-Beck I (1995) [Arterial blood pressure – anthropological analysis of its biological and sociocultural conditionality]. PhD Thesis, Institute for Medical Research and Occupational Health, Zagreb.Google Scholar
19.Pucarin-Cvetković, J, Mustajbegović, J, Doko Jelinić, J, Senta, A, Nola, IA, Ivanković, D, Kaić-Rak, A & Milošević, M (2006) Body mass index and nutrition as determinants of health and disease in population of Croatian Adriatic islands. Croat Med J 47, 619626.Google ScholarPubMed
20.Kern, J, Strnad, M, Ćorić, T & Vuletić, S (2005) Cardiovascular risk factors in Croatia: struggling to provide the evidence for developing policy recommendations. BMJ 331, 208210.CrossRefGoogle ScholarPubMed
21.Kokkinos, P, Panagiotakos, DB & Polychronopoulos, E (2005) Dietary influences on blood pressure: the effect of the Mediterranean diet on the prevalence of hypertension. J Clin Hypertens (Greenwich) 7, 165170.CrossRefGoogle ScholarPubMed
22.Psaltopoulou, T, Naska, A, Orfanos, P, Trichopoulos, D, Mountokalakis, T & Trichopoulou, A (2004) Olive oil, the Mediterranean diet, and arterial blood pressure: the Greek European Prospective Investigation into Cancer and Nutrition (EPIC) study. Am J Clin Nutr 80, 10121018.CrossRefGoogle ScholarPubMed
23.Rust, KF & Rao, JNK (1996) Variance estimation for complex surveys using replication techniques. Stat Methods Med Res 5, 281310.CrossRefGoogle ScholarPubMed
24.Yeo, D, Mantel, H & Liu, TP (1999) Bootstrap variance estimation for the national population survey. In Proceedings of the Survey Research Methods Section, pp. 778783. Baltimore, MA: American Statistical Association.Google Scholar
25.Beland, Y, Bailie, L & Page, J (2004) Statistics Canada, Croatian Ministry of Health and Central Bureau of Statistics: a joint effort in implementing the 2003 Croatian Adult Health Survey. In Proceedings of the American Statistical Association Meeting on Survey Research Methods, p. 175. Toronto: American Statistical Association.Google Scholar
26.Malhotra, P, Kumari, S, Kumar, R, Jain, S & Sharma, BK (1999) Prevalence and determinants of hypertension in an un-industrialised rural population of North India. J Hum Hypertens 13, 467472.CrossRefGoogle Scholar
27.Thamm, M (1999) Blood pressure in Germany: current status and trends. Gesundheitswesen 61, Spec. No., S90S93.Google ScholarPubMed
28.Cifkova, R (2005) Arterial hypertension as a public health issue in the Czech Republic. Blood Press 14, Suppl. 2, 2528.CrossRefGoogle Scholar
29.Jenei, Z, Pall, D, Katona, E, Kakuk, G & Polgar, P (2002) The epidemiology of hypertension and its associated risk factors in the city of Debrecen, Hungary. Public Health 116, 138144.CrossRefGoogle ScholarPubMed
30.Zdrojewski, T, Szpakowski, P, Bandosz, P, Pajak, A, Wiecek, A, Krupa-Wojciechowska, B & Wyrzykowski, B (2004) Arterial hypertension in Poland in 2002. J Hum Hypertens 18, 557562.CrossRefGoogle ScholarPubMed
31.Shapo, L, Pomerleau, J & McKee, M (2003) Epidemiology of hypertension and associated cardiovascular risk factors in a country in transition: a population based survey in Tirana City, Albania. J Epidemiol Community Health 57, 734739.CrossRefGoogle Scholar
32.Grim, CE, Grim, CM, Petersen, JR, Li, J, Tavill, F, Kipshidze, NN, Chawla, PS & Kipshidze, N (1999) Prevalence of cardiovascular risk factors in the Republic of Georgia. J Hum Hypertens 13, 243247.CrossRefGoogle ScholarPubMed
33.Droyvold, WB, Midthjell, K, Nilsen, TI & Holmen, J (2005) Change in body mass index and its impact on blood pressure: a prospective population study. Int J Obes (Lond) 29, 650655.CrossRefGoogle ScholarPubMed
34.Jousilahti, P, Tuomilehto, J, Vartiainen, E, Valle, T & Nissinen, A (1995) Body mass index, blood pressure, diabetes and the risk of anti-hypertensive drug treatment: 12-year follow-up of middle-aged people in eastern Finland. J Hum Hypertens 9, 847854.Google ScholarPubMed
35.Wilsgaard, T, Schirmer, H & Arnesen, E (2000) Impact of body weight on blood pressure with a focus on sex differences: the Tromso Study, 1986–1995. Arch Intern Med 160, 28472853.CrossRefGoogle ScholarPubMed
36.Klag, MJ, Wang, NY, Meoni, LA, Brancati, FL, Cooper, LA, Liang, KY, Young, JH & Ford, DE (2003) Coffee intake and risk of hypertension: the Johns Hopkins precursors study. Arch Intern Med 162, 657662.CrossRefGoogle Scholar
37.Burke, V, Beilin, LJ, German, R, Grosskopf, R, Ritchie, J, Puddey, IB & Rogers, P (1992) Association of lifestyle and personality characteristics with blood pressure and hypertension: a cross-sectional study in the elderly. J Clin Epidemiol 45, 10611070.CrossRefGoogle ScholarPubMed
38.Jee, SH, He, J, Whelton, PK, Suh, I & Klag, MJ (1999) The effect of chronic coffee drinking on blood pressure: a meta-analysis of controlled clinical trials. Hypertension 33, 647652.CrossRefGoogle ScholarPubMed
39.Stamler, J, Caggiula, AW & Grandits, GA (1997) Relation of body mass and alcohol, nutrient, fiber, and caffeine intakes to blood pressure in the special intervention and usual care groups in the Multiple Risk Factor Intervention Trial. Am J Clin Nutr 65, Suppl. 1, S338S365.CrossRefGoogle ScholarPubMed
40.Periti, M, Salvaggio, A, Quaglia, G & Di Marzio, L (1987) Coffee consumption and blood pressure: an Italian study. Clin Sci (Lond) 72, 443447.CrossRefGoogle ScholarPubMed
41.Funatsu, K, Yamashita, T & Nakamura, H (2005) Effect of coffee intake on blood pressure in male habitual alcohol drinkers. Hypertens Res 28, 521527.CrossRefGoogle ScholarPubMed
42.Salvaggio, A, Periti, M, Miano, L & Zambelli, C (1990) Association between habitual coffee consumption and blood pressure levels. J Hypertens 8, 585590.CrossRefGoogle ScholarPubMed
43.He, J & Bazzano, LA (2000) Effects of lifestyle modification on treatment and prevention of hypertension. Curr Opin Nephrol Hypertens 9, 267271.CrossRefGoogle ScholarPubMed
44.Keil, U, Chambless, L & Remmers, A (1989) Alcohol and blood pressure: results from the Luebeck Blood Pressure Study. Prev Med 18, 110.CrossRefGoogle ScholarPubMed
45.Kirchhoff, M, Torp-Pedersen, C, Hougaard, K, Jacobsen, TJ, Sjol, A, Munch, M, Tingleff, J, Jorgensen, T, Schroll, M & Ege Olsen, M (1994) Casual blood pressure in a general Danish population. Relation to age, sex, weight, height, diabetes, serum lipids and consumption of coffee, tobacco and alcohol. J Clin Epidemiol 47, 469474.CrossRefGoogle Scholar
46.Srinath Reddy, K & Katan, MB (2004) Diet, nutrition and the prevention of hypertension and cardiovascular diseases. Public Health Nutr 7, 167186.CrossRefGoogle ScholarPubMed
47.Krousel-Wood, MA, Muntner, P, He, J & Whelton, PK (2004) Primary prevention of essential hypertension. Med Clin North Am 88, 223238.CrossRefGoogle ScholarPubMed
48.Ascherio, A, Hennekens, C, Willett, WC, Sacks, F, Rosner, B, Manson, J, Witteman, J & Stampfer, MJ (1996) Prospective study of nutritional factors, blood pressure, and hypertension among US women. Hypertension 27, 10651072.CrossRefGoogle ScholarPubMed
49.Takashima, Y, Ivase, Y, Yoshida, M et al. (1998) Relationship of food intake and dietary patterns with blood pressure levels among middle-aged Japanese men. J Epidemiol 8, 106115.CrossRefGoogle ScholarPubMed
50.Bazzano, LA, Serdula, MK & Liu, S (2003) Dietary intake of fruits and vegetables and risk of cardiovascular disease. Curr Atheroscler Rep 5, 492499.CrossRefGoogle ScholarPubMed
51.Appel, LJ, Moore, TJ, Obarzanek, E et al. (1997) A clinical trial of the effects of dietary patterns on blood pressure. DASH Collaborative Research Group. N Engl J Med 336, 11171124.CrossRefGoogle ScholarPubMed
52.Hermansen, K (2000) Diet, blood pressure and hypertension. Br J Nutr 83, Suppl. 1, 113119.CrossRefGoogle ScholarPubMed
53.Harsha, DW, Lin, PH, Obarzanek, E, Karanja, NM, Moore, TJ & Caballero, B (1999) Dietary Approaches to Stop Hypertension: a summary of study results. DASH Collaborative Research Group. J Am Diet Assoc 99, Suppl. 8, S35S39.CrossRefGoogle ScholarPubMed
54.Haddy, FJ (2006) Role of dietary salt in hypertension. Life Sci 79, 15851592.CrossRefGoogle ScholarPubMed
55.He, FJ & MacGregor, GA (2003) Effect of modest salt reduction on blood pressure: a meta-analysis of randomized trials. Implications for public health. J Hum Hypertens 17, 13.Google Scholar
56.Tuomilehto, J, Jousilahti, P, Rastenyte, D, Moltchanov, V, Tanskanen, A, Pietinen, P & Nissinen, A (2001) Urinary sodium excretion and cardiovascular mortality in Finland: a prospective study. Lancet 357, 848851.CrossRefGoogle ScholarPubMed
57.Mascioli, S, JrGrimm, R, Launer, C, Svendsen, K, Flack, J, Gonzalez, N, Elmer, P & Neaton, J (1991) Sodium chloride raises blood pressure in normotensive subjects. The study of sodium and blood pressure. Hypertension 17, Suppl. 1, I21I26.CrossRefGoogle Scholar
58.Altschul, AM & Grommet, JK (1982) Food choices for lowering sodium intake. Hypertension 4, III116III120.CrossRefGoogle ScholarPubMed
59.Fodor, JG, Whitmore, B, Leenen, F & Larochelle, P (1999) Lifestyle modifications to prevent and control hypertension. 5. Recommendations on dietary salt. Canadian Hypertension Society, Canadian Coalition for High Blood Pressure Prevention and Control, Laboratory Centre for Disease Control at Health Canada, Heart and Stroke Foundation of Canada. CMAJ 160, S29S34.Google ScholarPubMed
Figure 0

Fig. 1 Regions in Croatia

Figure 1

Table 1 Definition of variables

Figure 2

Table 2 Distribution of hypertensives in Croatia: Croatian Adult Health Survey 2003

Figure 3

Table 3 Distribution of hypertensives in continental and Mediterranean parts of Croatia: Croatian Adult Health Survey 2003

Figure 4

Table 4 Distribution of increased BMI, nutritional habits, smoking and physical activity: Croatian Adult Health Survey 2003

Figure 5

Table 5 Odds of having newly diagnosed hypertension according to the presence of risk factors: Croatian Adult Health Survey 2003