Next Article in Journal
Free Sugars Intake, Sources and Determinants of High Consumption among Australian 2-Year-Olds in the SMILE Cohort
Next Article in Special Issue
Sources of Dietary Salt in North and South India Estimated from 24 Hour Dietary Recall
Previous Article in Journal
Parents’ Reports of Preschoolers’ Diets: Relative Validity of a Food Frequency Questionnaire and Dietary Patterns
Previous Article in Special Issue
Sodium Content of Processed Foods Available in the Mexican Market
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Sodium and Potassium Intake, Knowledge Attitudes and Behaviour Towards Salt Consumption Amongst Adults in Podgorica, Montenegro

1
World Health Organization Collaborating Centre for Nutrition, University of Warwick, Coventry CV4 7AL, UK
2
Department of Clinical Medicine and Surgery, “Federico II” University of Naples Medical School, 80131 Naples, Italy
3
World Health Organization Regional Office, 81000 Podgorica, Montenegro
4
Center for Laboratory Diagnostics, Primary Health Care Centre, 81000 Podgorica, Montenegro
5
World Health Organization European Office for Prevention and Control of Noncommunicable Diseases, Moscow 229994, Russia
6
World Health Organization European Office for Prevention and Control of Noncommunicable Diseases, DK-2100 Copenhagen, Denmark
7
Statistical Office of Montenegro, MONSTAT, 81000 Podgorica, Montenegro
8
Division of Health Sciences, Warwick Medical School, University of Warwick, Coventry CV4 7AL, UK
*
Author to whom correspondence should be addressed.
Nutrients 2019, 11(1), 160; https://doi.org/10.3390/nu11010160
Submission received: 30 November 2018 / Revised: 14 December 2018 / Accepted: 8 January 2019 / Published: 13 January 2019
(This article belongs to the Special Issue Advances in Dietary Sodium Research to Improve Human Health)

Abstract

:
Excess salt and inadequate potassium intakes are associated with high cardiovascular disease (CVD). In Montenegro, CVD is the leading cause of death and disability. There is no survey that has directly measured salt and potassium consumption in Montenegro. The aim is to estimate population salt and potassium intakes and explore knowledge, attitudes and behaviour (KAB), amongst the adult population of Podgorica. Random samples of adults were obtained from primary care centres. Participants attended a screening including demographic, anthropometric and physical measurements. Dietary salt and potassium intakes were assessed by 24 h urinary sodium (UNa) and potassium (UK) excretions. Creatinine was measured. KAB was collected by questionnaire. Six hundred and thirty-nine (285 men, 25–65 years) were included in the analysis (response rate 63%). Mean UNa was 186.5 (SD 90.3) mmoL/day, equivalent to 11.6 g of salt/day and potassium excretion 62.5 (26.2) mmoL/day, equivalent to 3.2 g/day. Only 7% of them had a salt intake below the World Health Organization (WHO) recommended target of 5 g/day and 13% ate enough potassium (>90 mmoL/day). The majority (86%) knew that high salt causes ill-health. However, only 44% thought it would be useful to reduce consumption. Salt consumption is high and potassium consumption is low, in men and women living in Podgorica.

1. Introduction

Non-communicable diseases (NCDs) are the leading, yet preventable, causes of death worldwide [1]. In Montenegro, NCDs are a major public health challenge undermining socio-economic development [2]. According to the World Health Organization (WHO) latest estimates [2], NCDs account for 92% of total deaths, out of which 22% are premature (occurring before the age of 70 years) and 61% due to cardiovascular diseases CVDs. According to the national registry for acute coronary syndrome and cerebrovascular diseases, crude incidence rate of acute coronary syndrome was 176.6 per 100,000 in 2013 and 2007 per 100,000 for cerebrovascular event, respectively [3].
High blood pressure (BP) and unhealthy diet are the leading risk factors for CVD in the world and among the risk factors that account for most of the disease burden in Montenegro [3]. The overall prevalence of raised blood pressure in adults aged 20 and over was 32.7% in 2008 [3]. According to WHO estimates of prevalence of raised blood pressure in 2014 values were higher in men (32.8%) compared to women (23.1%).
A high salt (i.e., sodium chloride, 1 g = 17.1 mmoL of sodium) consumption is an important determinant of high BP. A high salt intake is associated with raised BP, that leads to increased risk of vascular diseases [4]. There is a large body of scientific evidence that high salt intake is associated with raised BP and adverse cardiovascular health [5,6,7,8]. In addition, high salt intake is related to adverse health effects independent of its effects on BP [9,10,11]. Furthermore, a moderate reduction in salt consumption reduces BP [4,5] and it can improve the health outcomes and indirectly reduce the overall mortality through beneficial effect on the BP [7,8].
The World Health Organization (WHO) currently recommends that adults should consume no more than 5 g of salt daily [12]. However, mean daily intakes of salt in most of the countries in the world exceed this recommendation [13,14]. In Montenegro it is common habit to add salt to food at the table and when cooking and to eat processed food high in salt [15]. Since a high proportion of salt derives from hidden sources like processed food, restaurants and other food outlets [16,17], objective assessment of actual salt consumption is necessary and currently lacking in Montenegro. Whilst there is no definitive estimate of population dietary salt intake in Montenegro, it is believed that average consumption could be high, similar to some neighbouring countries in the sub-region, like Serbia (9.85 g/day) [18] and Slovenia [19]; this is far above the dietary target suggested by WHO. Salt reduction strategies in the European region, including Montenegro, encompass monitoring and evaluation actions as one of their important pillars [14,20,21]. Therefore, reliable data on salt intake in Montenegro are needed [22].
A reduction in salt intake is a cost-effective public health action to save lives, to avert diseases and avoid health-care costs [2]. The goal of the WHO is to achieve a 30 per cent reduction in average salt consumption by 2025 [11].
The WHO European Food and Nutrition Action Plan 2013–2020 recommends that countries adopt comprehensive salt reduction strategies [11]. Salt reduction strategies in the European region include monitoring and evaluation as important pillars [14,20]. Hence, comprehensive, reliable data on salt intake in Montenegro are urgently needed, using at least one accurately collected 24 h urine sample for assessing population average salt consumption [21].
In contrast to salt, epidemiological and intervention studies suggest beneficial effects of dietary potassium on BP and cardiovascular health [23,24,25]. As for the salt, Montenegro lacks data also on actual potassium consumption. The WHO currently recommends that adults should consume not less than 90 mmoL of potassium daily [26]. Hence, reliable data on potassium intake in Montenegro are also needed.
The primary aim of the present study was to establish current baseline average consumption of salt and potassium by 24 h urine collection, in a random sample of men and women drawn from the areas surrounding Podgorica, the capital city of Montenegro. The study also aimed to explore knowledge, attitudes and behaviour towards dietary salt for the implementation of a national program of population salt reduction, in line with the WHO global action plan for 2025.

2. Materials and Methods

2.1. Participants and Recruitment

The sampling frame was the database of registered patients in the Primary Health Centre (PHC) in Podgorica (Montenegro), age 25–65 years. The database was obtained from the Health insurance fund of Montenegro. From the sampling frame and according to PAHO/WHO and EMRO Protocols [27,28] we excluded the following group of patients: people unable to provide informed consent, those with known history of heart or kidney failure, stroke, liver disease, those who recently began therapy with diuretics (less than two weeks), pregnant women, any other conditions that would make 24 h urine collection difficult. The sample for the survey was selected with a sex- and age-stratified random sampling of men and women in six facilities of the PHC of Podgorica (Figure 1).
The survey took place between 15th September and 15th December 2017. From the 1008 households and individuals interviewed in the sampling frame, 639 of them (63%) provided suitable data for inclusion in the survey analysis. Originally, 6 did not meet the inclusion criteria, 99 did not provide date and time of the urine collections, 12 had missing data, 6 provided urine collections with volume less than 500 mL (conventionally taken as not plausible), 237 (23.5%) provided either under-collections (<22 h) or over-collections (>26 h) and 9 had urinary creatinine excretion outside 2 standard deviations (SDs) of the sex-specific distribution of urinary creatinine in the sample (Figure 2).
The excluded participants had similar anthropometric characteristics and blood pressure values but were younger and has faster pulse rate than those included in the final sample (see Supplementary Tables). The survey was carried out in accordance with the Declaration of Helsinki and Good Clinical Practice [29]. Ethical approval for the survey was obtained from the Committee of Research Ethics of the National Centre of Public Health and participants provided written informed consent to take part.

2.2. Data Collection

The examination was performed in a quiet and comfortable room, with the participants who were not allowed to smoke, exercise, eat, consume caffeine and to have a full bladder for 30 min before measurements. The survey was carried out in three steps: (a) questionnaire survey, (b) physical measurements and (c) 24 h urine collections.
The questionnaire (face-to-face interview, adapted version of the WHO STEPS Instrument for NCD Risk Factor Surveillance) [30] was used to collect data on respondent’s demographic and socio-economic status (by occupation and educational attainment); diet, frequency of high salt food consumption, fruit and vegetable consumption, knowledge attitudes and behaviour on dietary salt, history of high BP, diabetes and CVDs, lifestyle advice.
Anthropometric indices, BP and heart rate were measured in all participants. Height was measured in cm with a laser stadiometer (SECA 709). Body weight was measured in kg using a digital electronic scale (Transtek, model GBS-721). Body mass index (BMI) was calculated as weight (kg) divided by height squared (m2). Overweight was defined as a BMI of 25 kg/m2 or more and obesity as a BMI of 30 kg/m2 or more. Systolic and diastolic BP and heart rate measurements were taken three times in the right arm on a sitting position, using a universal cuff and automatic BP and heart rate monitors (Boso Medicus Uno, Bosch+Sohn GmbH, Jungingen, Germany). The first measurement was ignored, the mean of second and third measurements being taken for analysis. The measurements were taken after the participant had rested for 15 min and each with three minutes of rest between the measurements (maximum deviation of cuff pressure measurement ± 3 mmHg and of pulse rate display ± 5%). Hypertension is defined as systolic and/or diastolic BP ≥ 140/90 mmHg or regular antihypertensive treatment [31].
A single 24 h urine collection was obtained from the participants. Each participant was given a leaflet with explanations along with the necessary equipment and a record sheet on which participant noted the start and the finish times of their urine collection, any missed urine aliquots and any medication taken during the collection. The participants were carefully instructed on urine collection methodology [27,28]. In an effort to minimize bias, participants were also requested not to change their diet before or during the day of the urine collection. The first void upon waking on the day of collection was discarded. The urine volume of the 24 h collection was measured by field team-members and a urine sample was stored in a cool place for a maximum of 24 h until transportation to the laboratory. Sodium, potassium and creatinine determinations were carried out immediately [27,28]. Sodium and potassium concentration in the urine samples were determined using a Ion Selective Electrode with a Beckman Coulter Synchron CX5PRO System and expressed in mmoL/L [32]. Creatinine concentration was determined through the Creatinine (urinary) Jaffé kinetic method and expressed in mg/dL [33].

2.3. Statistical Analysis

All statistical analyses were performed using the SPSS software, version 20 (SPSS Inc., Chicago, IL, USA). To detect approximately 1 g reduction in salt intake over time using 24 h urinary sodium excretion (difference ~20 mmoL/24 h), with a standard deviation of 75 mmoL/day (alpha = 0.05, power = 0.80), a minimum sample of 120 individuals per stratum is recommended [27,28]. Thus, a minimum recommended sample size of 240 was estimated per age and sex groups and adjusted for an anticipated non-response rate of 50% [27,28]. The population was stratified in groups by sex (men and women) and by age (I: 25–34 years, II: 35–49 years, III: 50–65 years). T-test for unpaired samples or analysis of variance (ANOVA) was used to assess differences between group means. Pearson chi-square test was used to test the association between categorical variables. Linear regression analysis was used to detect the association between salt and potassium consumption with socio-economic status, adjusting for age and sex. To convert urinary output into dietary intake, the urinary excretion of sodium (UNa) or potassium (UK) values (mmoL/day) were first converted to mg/day. Then, sodium values were multiplied by 1.05 (assuming that only 95% of sodium ingested is excreted), while potassium values were multiplied by 1.3 (on the assumption that only 70% of the potassium ingested in excreted in the urine [34]. The conversion from dietary sodium (Na) intake to salt (NaCl) intake was made by multiplying the sodium value by 2.542. The results were reported, as appropriate, as mean (SD and/or 95%CI) or as percentages. Two-sided p below 0.05 were considered statistically significant.

3. Results

The population sample included 639 participants between 25 and 65 years old (n = 285 or 45% men and n = 354 or 55% women), recruited from six facilities (29.3% from Centar, 14.6% from Nova Varos, 9.2% from Stara Varos, 23.3% from Block 5, 11.9% from Zagoric and 11.7% from Tolosi) (Figure 1).

3.1. Characteristics of the Participants

The characteristics of the participants are shown in Table 1. There was no statistically significant difference in the mean age between male and female participants, however men were significantly taller and heavier than women and had a higher systolic, diastolic BP and pulse rate. The prevalence of hypertension was on average 36.4% (225/618), comparable in men (110/279 or 39.4%) and women (115/339 or 33.9%; P > 0.05).

3.2. Daily Urinary Excretions of Volume, Sodium, Potassium and Creatinine and Salt and Potassium Intake

Average urinary volume excretion was 1629 mL per day, being higher in men than women (Table 2). Average urinary creatinine excretion was 1.41 g per day, being again higher in men than women (Table 2). Urinary sodium excretion showed a normal distribution with a tail skewed to the right (i.e., towards higher values). Mean urinary sodium was 186.5 (SD 90.3) mmoL/24 h (Table 2), equivalent to a mean consumption of 11.6 (5.6) g of salt per day (Table 2). Men excreted more sodium than women (mean difference 63.9 mmoL/24 h, P < 0.001), equivalent to 4.0 g of higher salt consumption than women. Only 46 participants (7%) met the levels of salt intake of 5g or less recommended by the WHO, significantly less in men than women (n = 11 or 4% vs n = 35 or 10%, respectively, P = 0.003). Urinary potassium excretion showed a normal distribution with a tail skewed to the right (i.e. towards higher values). Mean urinary sodium was 62.5 (26.2) (Table 2), equivalent to a mean consumption of 3.2 (1.3) g of potassium per day (Table 2).
Men excreted more potassium than women (mean difference 10.9 mmoL/24 h, P < 0.001), equivalent to 0.6 g of higher potassium consumption than women. Only 79 participants (13%) met the levels of potassium intake of 90 mmoL/day or more recommended by the WHO, significantly less in women than men (n = 26 or 8% vs n = 53 or 19%, respectively, P < 0.0001). No differences in salt and potassium consumption were detected by age (see Supplementary Tables). Salt and potassium consumption varied by socio-economic status, both measured by educational attainment and by occupation (Figure 3). After adjustment of age and sex, salt consumption was significantly lower in participants with the highest educational attainment (P for trend = 0.02) and it was the highest in retired and unemployed (P for trend = 0.02), suggesting a relationship between high salt intake and low socio-economic status. On the contrary, potassium consumption showed a direct relationship with educational attainment (P for trend = 0.05) and with current employment (P for trend = 0.05), suggesting a lower potassium consumption in more disadvantaged socio-economic groups.

3.3. Knowledge, Attitude and Behaviours Towards Salt Intake

A high proportion of participants (73.8%) reported adding salt to food at the table often or always, more amongst women compared to men (79.1 vs 67.2%; P = 0.0007) (Table 3). However, only 21.4% said they would often or always add it when cooking, especially men (25.2 vs 18.3%; P = 0.03). The majority (85.8%) knew that high salt causes serious health problems. However, only 44.2% thought it would be useful to reduce salt consumption, 35.6% felt their intake was excessive and 34.3% were doing anything to try and reduce it. Women were more pro-active than men in doing so (39.8 vs 27.6%; P = 0.001).

4. Discussion

This is the first survey on salt and potassium consumption carried out in adults in Montenegro, using the gold standard measure of 24 h urinary sodium and potassium excretions as biomarkers of intake. The results show unequivocally that salt consumption is high and that potassium consumption is low, both in men and in women.
Average salt intake exceeded by over twofold the WHO recommended maximum population target of 5 g per day [12]. Only 7% of the participants met the WHO salt targets. Men excreted more sodium than women. Discretionary use of salt is very common in Montenegro, with 3 out of 4 participants adding salt regularly to food and 1 in 4 also using it regularly when cooking. The majority of participants knew that high salt causes serious health problems. However, only less than half thought it would be useful to reduce its consumption, 1 in 3 felt own intake was not excessive and only 1 in 3 was reporting doing anything to reduce it. The answers to these questions reveal an insufficient level of knowledge of the real problem associated with high salt consumption amongst the participants of Podgorica and the widespread unreadiness to transfer this knowledge to behavioural changes in using discretionary salt. Average potassium intake was low in Montenegro, less than half the WHO recommended minimum population target of 90 mmoL/day or more [23]. Only 13% met WHO potassium targets.
Our main findings point out that the salt intake in Montenegro is higher than those reported in many neighbouring countries, both in men and women [35,36]. In the recent MINISAL study, the daily urinary sodium excretion of Italians was 189 for men and 147 mmoL/24 h for women [34] and in Greece 194 and 158 mmoL/24 h for male and female participants, respectively [36]. On the other hand, the potassium intake was similar to that found in Greece [36] but higher than that measured in Italy [35]. As reported in the majority of previous studies [37], men consume more salt than women. This is almost certainly explained by greater total food consumption. As expected, there are gender differences in both salt and potassium consumption, as detected in many other population surveys. Salt and potassium are expressed as total quantities rather that consumption per calorie intake, hence the gender difference is mainly explained by the larger body size of men compared to women and the corresponding total food consumption compared to women. However, there were gender differences in attitudes and behaviours towards salt consumption. Women reported more often less use of discretionary salt and more readiness to doing something to control salt intake. These could contribute, at least in part, to the differences found.
Social inequalities are important determinants of ill health globally [38,39]. People from low socio-economic background die sooner and have more disabilities. They are more likely to depend of cheaper, unhealthy food rich in salt. In the UK, their knowledge of public health recommendations is lower and the use of table salt and total salt intake is higher [34,40,41]. In England and Wales, the salt reduction of 1.4 g per day seen recently has not resulted in a reduction in socioeconomic differences [42]. “Upstream” health policies tend to reduce health inequalities [43]. Furthermore, an improvement in socio-economic position decreases the risk hypertension that is seen with low parental social status [44].
Socioeconomic status is a major determinant of excessive dietary salt and insufficient potassium intake [34,41,42]. Indeed, the healthy foods are more expensive than Western dietary patterns [45], that is, more energy-dense and nutrient-poor foods [46], that leads to a high availability of poor-quality foods. Also, low level of education unfavourably contributes to higher salt and lower potassium intake [34,41,42,47]. Hence, the interaction of low income and low levels of education contribute together to a low adherence to healthy eating pattern. Our results confirm this trend even in Montenegro, where unemployed subjects or participants with low level of education consumed more salt and less potassium. These conditions, in turn, would contribute to increase the otherwise avoidable burden of CVD. Currently, in the European region, a gradient across measures of inequalities is present even for the degree of implementation of current salt reduction policies [48].

4.1. Strengths and Limitations

Strengths of our study are the inclusion of a large random sample of male and female participants as representative of the capital city of Montenegro, the assessment of average consumption of salt and potassium by 24 h urine collection (gold-standard measure of salt and potassium intake) [28], the rigorous quality control and the careful standardized protocol of urine collections. In particular, the rigorous instructions to ensure completeness of urine collections and the strict protocol to select for analysis only those fulfilling the quality control criteria among which the length of collection time and the assessment of urinary creatinine excretion, markers of the accuracy of the collection. However, the study has some limitations. The possibility of selection bias cannot be excluded. Participants not delivering complete urines were younger than those complying. However, no other differences were seen in body size and cardiovascular parameters. Urinary sodium and potassium excretions were only assessed once. Given the large within-subject variability in consumption, it is acknowledged that a single collection is unlikely to characterize an individual’s salt and potassium consumption [49]. However, group estimates are less likely to be biased by this variability. Finally, sampling was drawn from the capital city of Podgorica. Whilst this represents a valid random sample, it may not be fully representative of the entire country, consisting of a mountainous Northern Region and a small Coastal Region on the Adriatic Sea. Montenegro is a small country with an estimated population of approximately 640,000, of which approximately 150,000 resides in the capital and surroundings [50]. The recent and continuous migration to the capital city makes the population of Podgorica rather heterogeneous, although some differences in dietary habits between the different regions may still exist.

4.2. Conclusions

Salt intake is high and potassium is low in Podgorica, Montenegro. Awareness, attitudes and behaviours about salt and its implication for health suggest that there is an urgent need for intensive awareness campaigns and health promotion to improve the take up of preventive strategies aiming at reducing salt consumption, whilst at the same time increasing potassium intake by encouraging higher consumption of potassium-rich food. Awareness about hidden salt in processed food should be highlighted. A national program for reducing salt intake in Montenegro needs to be implemented through systematic efforts and multisectoral collaboration including not only public awareness and behaviour-change communication (including via health care professionals), but, more importantly, structured programs for reformulation that set the framework for the food industry to reduce salt in processed foods, major source of salt intake. The current Montenegrin approach to reducing population salt intake is based predominantly upon voluntary food supply reformulation and the Government has already introduced a regulation on maximum salt content in bakery products. Based on international experience and using national dietary intake data, the government can set food category-based salt reduction targets for the most important foods that contribute to salt intake among the Montenegrin population, with the objective of contributing to a 30% reduction in salt consumption by 2025. Only one in two people consume sufficient amount of potassium and public policies should be directed to encouraging an increase intake of fruit, vegetable, pulses and nuts by setting targets to increase consumption to 90 mmoL per day or more. In the absence of a more comprehensive national survey of habitual salt and potassium intake in Montenegro, our data provides a useful baseline against which to monitor the impact of future initiatives.

Supplementary Materials

The following are available online at https://www.mdpi.com/2072-6643/11/1/160/s1, Table S1: Supplemental Table 1., Table S2: Daily urinary excretions of volume, sodium, potassium and creatinine by age; Table S3: Estimates of salt and potassium intake by age (n = 369); Table S4: Knowledge, attitudes and behaviours towards salt consumption by age; Table S5: Daily urinary excretions of sodium and potassium by education (n = 622); Table S6: Daily urinary excretions of sodium and potassium by work (n = 599).

Author Contributions

F.PC. developed the protocol, trained local teams, co-ordinated quality control and data analysis and drafter the manuscript. L.D. carried out quality control and statistical analysis. M.B. and A.K. coordinated the study, carried out the fieldwork and liaised with the local laboratory. V.C. helped with the drawing of the stratified random sample from the sampling frame and contributed to statistical analysis. J.J. and J.B. contributed to the design and interpretation of the findings. All authors contributed significantly to the final version of the manuscript.

Funding

This research received no external funding.

#Salt Consumption Survey in Montenegro Study Group (in alphabetical order)

G. Babić, M. Brajović, J. Breda, V. Cadjenović, F.P. Cappuccio, M. Cojić, L. D’Elia, L. Dragić, A. Frljučkić, A. Ivanović, J. Jewell, S. Jokić, K. Katana, A. Klisic, D. Koljenšić, M. Laličić, A. Lučić, V. Milićević, T. Milonjić, N. Mraković, B. Mudreša, D. Popović, S. Prelević, D. Radović, S. Šofranac, H. Topčibašić, A. Vlahović, O. Žujović.

Acknowledgments

The WHO Office for Europe provided some financial support for the publication of this study. The present analysis was carried out under the terms of reference of the WHO Collaborating Centre for Nutrition at the University of Warwick. The WHO Office for Europe would like to express gratitude to Dr Nebojsa Kavaric, Director of the PHC Podgorica and Ms Zorica Kovacevic, General manager of the Clinical Centre of Podgorica for continuous and valuable support in conducting the survey.

Conflicts of Interest

L.D. was a technical advisor to the World Health Organization and is a member of the scientific committee of the Italian Society of Human Nutrition. M.B., J.J. and J.B. are staff members of the World Health Organization. F.PC. is a technical advisor to the World Health Organization, unpaid member of CASH, WASH, UK Health Forum, President and Trustee of the British and Irish Hypertension Society. A.K. and V.C. have no conflict of interest to declare.

References

  1. GBD 2015 Mortality and Causes of Death Collaborators. Global, regional, and national life expectancy, all-cause mortality, and cause-specific mortality for 249 causes of death, 1980–2015: A systematic analysis for the Global Burden of Disease Study 2015. Lancet 2016, 388, 1459–1544. [Google Scholar] [CrossRef]
  2. World Health Organization. Non-Communicable Diseases; Country Profile: Geneva, Switzerland, 2014. [Google Scholar]
  3. National Registry for Acute Coronary Diseases and Cerebrovascular Diseases; Institute of Public Health: Podgorica, Montenegro, 2013.
  4. European Heart Network. Transforming European Food and Drink Policies for Cardiovascular Health; European Heart Network: Brussels, Belgium, 2017; pp. 1–137. [Google Scholar]
  5. Aburto, N.J.; Ziolkovska, A.; Hooper, L.; Elliott, P.; Cappuccio, F.P.; Meerpohl, J. Effect of lower sodium intake on health: Systematic review and meta-analysis. Br. Med. J. 2013, 346, f1326. [Google Scholar] [CrossRef] [PubMed]
  6. He, F.J.; Li, J.; MacGregor, G.A. Effect of longer-term modest salt reduction on blood pressure: Cochrane systematic review and meta-analysis of randomised trials. Br. Med. J. 2013, 346, f1325. [Google Scholar] [CrossRef] [PubMed]
  7. Strazzullo, P.; D’Elia, L.; Kandala, N.-B.; Cappuccio, F.P. Salt intake, stroke, and cardiovascular disease: Meta-analysis of prospective studies. Br. Med. J. 2009, 339, b4567. [Google Scholar] [CrossRef] [PubMed]
  8. Cook, N.R.; Cutler, J.A.; Obarzanek, E.; Buring, J.E.; Rexrode, K.M.; Kumanyika, S.K.; Appel, L.J.; Whelton, P.K. Long term effects of dietary sodium reduction on cardiovascular disease outcomes: Observational follow-up of the Trials of Hypertension Prevention (TOHP). Br. Med. J. 2007, 334, 885–888. [Google Scholar] [CrossRef]
  9. Cappuccio, F.P. Cardiovascular and other effects of salt consumption. Kidney Int. 2013, 3, 312–315. [Google Scholar] [CrossRef] [Green Version]
  10. D’Elia, L.; Rossi, G.; Schiano di Cola, M.; Savino, I.; Galletti, F.; Strazzullo, P. Meta-analysis of the effect of dietary sodium restriction with or without concomitant renin–angiotensin–aldosterone system-inhibiting treatment on albuminuria. Clin. J. Am. Soc. Nephrol. 2015, 10, 1542–1552. [Google Scholar] [CrossRef]
  11. D’Elia, L.; Galletti, F.; La Fata, E.; Sabino, P.; Strazzullo, P. Effect of dietary sodium restriction on arterial stiffness: Systematic review and meta-analysis of the randomized controlled trials. J. Hypertens. 2018, 36, 734–743. [Google Scholar] [CrossRef]
  12. World Health Organization. Guideline. Sodium Intake for Adults and Children; World Health Organization (WHO): Geneva, Switzerland, 2012. [Google Scholar]
  13. Brown, I.J.; Tzoulaki, I.; Candeias, V.; Elliott, P. Salt intakes around the world: Implications for public health. Int. J. Epidemiol. 2009, 38, 791–813. [Google Scholar] [CrossRef]
  14. Cappuccio, F.P.; Capewell, S. Facts, issues, and controversies in salt reduction for the prevention of cardiovascular disease. Funct. Food Rev. 2015, 7, 41–61. [Google Scholar]
  15. WHO Regional Office for Europe. Mapping Salt Reduction Initiatives in the WHO European Region; WHO Regional Office for Europe: Copenhagen, Denmark, 2013. [Google Scholar]
  16. Mattes, R.D.; Donnelly, D. Relative contributions of dietary sources. J. Am. Coll. Nutr. 1991, 10, 383–393. [Google Scholar] [CrossRef] [PubMed]
  17. Sanchez-Castillo, C.P.; Warrender, S.; Whitehead, T.P.; James, W.P. An assessment of the sources of dietary salt in a British population. Clin. Sci. 1987, 72, 95–102. [Google Scholar] [CrossRef] [PubMed]
  18. Jovicic-Bata, J.; Grujicic, M.; Raden, S.; Novakovic, B. Sodium intake and dietary sources of sodium in a sample of undergraduate students from NoviSad, Serbia. Vojnosanitetski Pregled 2016, 73, 1044–1049. [Google Scholar] [CrossRef] [PubMed]
  19. Ribič, C.H.; Zakotnik, J.M.; Vertnik, L.; Vegnuti, M.; Cappuccio, F.P. Salt intake of the Slovene population assessed by 24-hour urinary sodium excretion. Public Health Nutr. 2010, 13, 1803–1809. [Google Scholar] [CrossRef] [PubMed]
  20. World Health Organization. Global Action Plan for the Prevention and Control of NCDs 2013–2020; World Health Organization: Geneva, Switzerland, 2013; pp. 1–103. [Google Scholar]
  21. Cappuccio, F.P.; Capewell, S.; Lincoln, P.; McPherson, K. Policy options to reduce population salt intake. Br. Med. J. 2011, 343, 402–405. [Google Scholar] [CrossRef] [PubMed]
  22. Campbell, N.R.C.; Appel, L.J.; Cappuccio, F.P.; Correa-Rotter, R.; Hankey, G.J.; Lackland, D.T.; MacGregor, G.; Neal, B.; Niebylski, M.L.; Webster, J.; et al. A call for quality research on salt intake and health: From the World Hypertension League and Supporting Organizations. J. Clin. Hypertens. 2014, 16, 469–471. [Google Scholar] [CrossRef] [PubMed]
  23. Aburto, N.J.; Hanson, S.; Gutierrez, H.; Hooper, L.; Elliott, P.; Cappuccio, F.P. Effect of increased potassium intake on cardiovascular risk factors and disease: Systematic review and meta-analyses. Br. Med. J. 2013, 346, f1378. [Google Scholar] [CrossRef]
  24. D’Elia, L.; Barba, G.; Cappuccio, F.P.; Strazzullo, P. Potassium Intake, Stroke, and Cardiovascular Disease. A meta-analysis of Prospective Studies. J. Am. Coll. Cardiol. 2011, 57, 1210–1219. [Google Scholar] [CrossRef]
  25. D’Elia, L.; Iannotta, C.; Sabino, P.; Ippolito, R. Potassium rich-diet and risk of stroke: Updated meta-analysis. Nutr. Metab. Cardiovasc. Dis. 2014, 24, 585–587. [Google Scholar] [CrossRef]
  26. World Health Organization. Guideline: Potassium Intake for Adults and Children; World Health Organization (WHO): Geneva, Switzerland, 2012; pp. 1–52. [Google Scholar]
  27. Pan American Health Organization/World Health Organization. Salt-Smart Americas: A Guide for Country-Level Action; PAHO: Washington, DC, USA, 2013; pp. 1–159. [Google Scholar]
  28. World Health Organization. How to Obtain Measures of Population-Level Sodium Intake in 24-Hour Urine Samples; WHO-EM/NUT/279/E; World Health Organization/Regional Office of the Eastern Mediterranean: Cairo, Egypt, 2018; pp. 1–51. [Google Scholar]
  29. World Medical Association. Declaration of Helsinki. Recommendations guiding doctors in clinical research. Bull. World Health Org. 2008, 86, 650–651. [Google Scholar]
  30. World Health Organization. The WHO STEPwise Approach to Chronic Disease Risk Factor Surveillance (STEPS); WHO: Geneva, Switzerland; Available online: http://www.who.int/ncds/surveillance/steps/STEPS_Instrument_v2.1.pdf (accessed on 11 January 2019).
  31. Mancia, G.; Fagard, R.; Narkiewicz, K.; Redón, J.; Zanchetti, A.; Böhm, M.; Christiaens, T.; Cifkova, R.; De Backer, G.; Dominiczak, A.; et al. 2013 ESH/ESC Guidelines for the management of arterial hypertension: The Task Force for the management of arterial hypertension of the European Society of Hypertension (ESH) and of the European Society of Cardiology (ESC). J. Hypertens. 2013, 31, 1281–1357. [Google Scholar] [CrossRef] [PubMed]
  32. Oesch, U.; Ammann, D.; Simon, W. Ion-selective membrane electrodes for clinical use. Clin. Chem. 1986, 32, 1448–1459. [Google Scholar] [PubMed]
  33. Junge, W.; Wilke, B.; Halabi, A.; Klein, G. Determination of reference intervals for serum creatinine, creatinine excretion and creatinine clearance with an enzymatic and a modified Jaffé method. Clin. Chim. Acta 2004, 344, 137–148. [Google Scholar] [CrossRef] [PubMed]
  34. Cappuccio, F.P.; Ji, C.; Donfrancesco, C.; Palmieri, L.; Ippolito, R.; Vanuzzo, D.; Giampaoli, S.; Strazzullo, P. Geographic and socio-economic variation of sodium and potassium intake in Italy. Results from the MINISAL-GIRCSI programme. BMJ Open 2015, 5, e007467. [Google Scholar] [CrossRef] [PubMed]
  35. Donfrancesco, C.; Ippolito, R.; Lo Noce, C.; Palmieri, L.; Iacone, R.; Russo, O.; Vanuzzo, D.; Galletti, F.; Galeone, D.; Giampaoli, S.; et al. Excess dietary sodium and inadequate potassium intake in Italy: Results of the MINISAL study. Nutr. Metab. Cardiovasc. Dis. 2013, 23, 850–856. [Google Scholar] [CrossRef] [PubMed]
  36. Vasara, E.; Marakis, G.; Breda, J.; Skepastianos, P.; Hassapidou, M.; Kafatos, A.; Rodopaios, N.; Koulouri, A.; Cappuccio, F.P. Sodium and Potassium Intake in Healthy Adults in Thessaloniki Greater Metropolitan Area-The Salt Intake in Northern Greece (SING) Study. Nutrients 2017, 22, 417. [Google Scholar] [CrossRef] [PubMed]
  37. Powles, J.; Fahimi, S.; Micha, R.; Khatibzadeh, S.; Shi, P.; Ezzati, M.; Engell, R.E.; Lim, S.S.; Danaei, G.; Mozaffarian, D.; on behalf of the Global Burden of Diseases Nutrition and Chronic Diseases Expert Group (NutriCoDE). Global, regional and national sodium intakes in 1990 and 2010: A systematic analysis of 24 h urinary sodium excretion and dietary surveys worldwide. BMJ Open 2013, 3, e003733. [Google Scholar] [CrossRef] [PubMed]
  38. Commission of Social Determinants of Health. Closing the Gap in a Generation: Health Equity through Action on the Social Determinants of Health; Final Report of the Commission on Social Determinants of Health; World Health Organization: Geneva, Switzerland, 2008; pp. 1–246. ISBN 978 92 4 156370 3. [Google Scholar]
  39. The Marmot Review Group. Fair Society, Healthy Lives. Strategic Review of Health Inequalities in England Post-2010; The Marmot Review Group: London, UK, 2010; pp. 1–238. [Google Scholar]
  40. Millett, C.; Laverty, A.A.; Stylianou, N.; Kirsten Bibbins-Domingo, K.; Pape, U.J. Impacts of a national strategy to reduce population salt intake in England: Serial cross-sectional study. PLoS ONE 2012, 7, e29836. [Google Scholar] [CrossRef]
  41. Ji, C.; Kandala, N.-B.; Cappuccio, F.P. Spatial variation of salt intake in Britain and association with socioeconomic status. BMJ Open 2013, 3, e002246. [Google Scholar] [CrossRef] [Green Version]
  42. Ji, C.; Cappuccio, F.P. Socioeconomic inequality in salt intake in Britain 10 years after a national salt reduction program. BMJ Open 2014, 4, e005683. [Google Scholar] [CrossRef]
  43. Capewell, S.; Graham, H. Will cardiovascular disease prevention widen health inequalities? PLoS Med. 2010, 7, e1000320. [Google Scholar] [CrossRef]
  44. Hogberg, L.; Cnattingius, S.; Lundholm, C.; Sparen, P.; Iliadou, A.N. Intergenerational social mobility and the risk of hypertension. J. Epidemiol. Community Health 2012, 66, e9. [Google Scholar] [CrossRef] [PubMed]
  45. Lopez, C.N.; Martinez-Gonzalez, M.A.; Sanchez-Villegas, A.; Alonso, A.; Pimenta, A.M.; Bes-Rastrollo, M. Costs of Mediterranean and western dietary patterns in a Spanish cohort and their relationship with prospective weight change. J. Epidemiol. Community Health 2009, 63, 920–927. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  46. Aggarwal, A.; Monsivais, P.; Cook, A.J.; Drewnowski, A. Does diet cost mediate the relation between socioeconomic position and diet quality? Eur. J. Clin. Nutr. 2011, 65, 1059–1066. [Google Scholar] [CrossRef] [Green Version]
  47. Bonaccio, M.; Di Castelnuovo, A.; Pounis, G.; Costanzo, S.; Persichillo, M.; Cerletti, C.; Donati, M.B.; de Gaetano, G.; Iacoviello, L.; for the Moli-sani Study Investigators. High adherence to the Mediterranean diet is associated with cardiovascular protection in higher but not in lower socioeconomic groups: Prospective findings from the Moli-sani study. Int. J. Epidemiol. 2017, 46, 1478–1487. [Google Scholar] [CrossRef] [PubMed]
  48. Rodriguez-Fernandez, R.; Siopa, M.; Simpson, S.J.; Amiya, R.M.; Breda, J.; Cappuccio, F.P. Current salt reduction policies across gradients of inequality-adjusted human development in the WHO European region: Minding the gaps. Public Health Nutr. 2014, 17, 1894–1904. [Google Scholar] [CrossRef]
  49. Lerchl, K.; Rakova, N.; Dahlmann, A.; Rauh, M.; Goller, U.; Basner, M.; Dinges, D.F.; Beck, L.; Agureev, A.; Larina, I.; et al. Agreement between 24-hour salt ingestion and sodium excretion in a controlled environment. Hypertension 2015, 66, 850–857. [Google Scholar] [CrossRef]
  50. Census of Population, Households and Dwellings in Montenegro 2011. Monstat, 2011. Available online: http://www.monstat.org/userfiles/file/popis2011/saopstenje/saopstenje(1).pdf (accessed on 16 October 2018).
Figure 1. Geographical sampling from Podgorica.
Figure 1. Geographical sampling from Podgorica.
Nutrients 11 00160 g001
Figure 2. Stepwise procedure for the selection of valid participants according to protocol adherence, quality control and completeness of 24 h urine collections.
Figure 2. Stepwise procedure for the selection of valid participants according to protocol adherence, quality control and completeness of 24 h urine collections.
Nutrients 11 00160 g002
Figure 3. Association between salt and potassium consumption and socio-economic status, defined by educational attainment or occupation, after adjustment for age and sex (results are mean ± SD; P values for linear trend are reported).
Figure 3. Association between salt and potassium consumption and socio-economic status, defined by educational attainment or occupation, after adjustment for age and sex (results are mean ± SD; P values for linear trend are reported).
Nutrients 11 00160 g003
Table 1. Characteristics of the participants.
Table 1. Characteristics of the participants.
All (n = 639)Men (n = 285)Women (n = 354)
Age (yrs)46.8 (11.3)46.7 (11.3)46.9 (11.3)
Height (cm)175.4 (9.2)182.5 (7.0)169.6 (6.1)
Weight (kg)79.8 (16.8)90.9 (15.2)70.7 (12.0)
BMI (kg/m2)25.8 (4.2)27.1 (3.8)24.6 (4.3)
Systolic blood pressure (mmHg)125.1 (16.2)129.2 (14.4)121.8 (16.7)
Diastolic blood pressure (mmHg)79.1 (9.2)80.7 (7.6)77.9 (10.1)
Pulse Rate (b/min)72.4 (8.7)73.3 (8.5)71.6 (8.9)
Current smokers n (%)166 (26.2)68 (23.9)98 (28.1)
Occupation* (in the last 12 months) n (%)
Government employee195 (30.6)74 (26.0)121 (34.5)
Non-government employee188 (29.5)99 (34.7)89 (25.4)
Self-employed47 (7.4)32 (11.2)15 (4.3)
Unpaid6 (0.9)4 (1.4)2 (0.6)
Student3 (0.5)2 (0.7)1 (0.3)
Housewife39 (6.1)-39 (11.1)
Retired80 (12.6)35 (12.3)45 (12.8)
Unemployed (able to work)36 (5.7)18 (6.3)18 (5.1)
Unemployed (unable to work)5 (0.8)3 (1.1)2 (0.6)
Other11 (1.7)6 (2.1)5 (1.4)
Refused26 (4.1)12 (4.2)14 (4.0)
Education attainment * n (%)
Less than primary school6 (0.9)2 (0.7)4 (1.1)
Primary school24 (3.8)9 (3.2)15 (4.3)
Secondary school128 (20.1)57 (20.0)71 (20.2)
High school237 (37.3)119 (41.8)118 (33.6)
College/University201 (31.6)81 (28.4)120 (34.2)
Postgraduate degree26 (4.1)12 (4.2)14 (4.0)
Refused14 (2.2)5 (1.8)9 (2.6)
Results are mean (SD) or as percentage; P < 0.001 vs men; * n = 636.
Table 2. Daily urinary excretions of volume, sodium, potassium and creatinine and estimates of salt and potassium intake.
Table 2. Daily urinary excretions of volume, sodium, potassium and creatinine and estimates of salt and potassium intake.
All (n = 639)Men (n = 285)Women (n = 354)
Volume (mL/24 h)1629 (608)1694 (569)1576 (633) *
Sodium (mmoL/24 h)186.5 (90.3)221.9 (101.3)158.0 (68.2)
Potassium (mmoL/24 h)62.5 (26.2)68.5 (27.6)57.6 (23.9)
Creatinine (g/24 h)1.41 (0.55)1.73 (0.60)1.15 (0.35)
Salt intake (g/day)11.6 (5.6)13.9 (6.3)9.9 (4.3)
Potassium intake (g/day)3.2 (1.3)3.5 (1.4)2.9 (1.2)
Results are mean (SD); P < 0.001; * P < 0.02 vs men.
Table 3. Knowledge, attitudes and behaviours towards salt consumption.
Table 3. Knowledge, attitudes and behaviours towards salt consumption.
QuestionTotal
(n = 639)
Men
(n = 285)
Women
(n = 354)
Do you add salt to food at the table? (Often/Always)73.8%79.1%67.2% *
In the food you eat at home salt is added in cooking (Often/Always)21.4%25.2%18.3% **
How much salt do you think you consume? (Far too much/Too much)35.6%37.5%34.0%
Do you think that a high salt diet could cause a serious health problem? (Yes)85.8%82.8%88.3%
How important is lowering salt/sodium in your diet? (Very important)44.2%40.5%47.1%
Do you do anything on a regular basis to control your salt/sodium intake? (Yes)34.3%27.6%39.8% *
Results are percentages * P < 0.001; ** P = 0.03 vs men.

Share and Cite

MDPI and ACS Style

D’Elia, L.; Brajović, M.; Klisic, A.; Breda, J.; Jewell, J.; Cadjenović, V.; Cappuccio, F.P. Sodium and Potassium Intake, Knowledge Attitudes and Behaviour Towards Salt Consumption Amongst Adults in Podgorica, Montenegro. Nutrients 2019, 11, 160. https://doi.org/10.3390/nu11010160

AMA Style

D’Elia L, Brajović M, Klisic A, Breda J, Jewell J, Cadjenović V, Cappuccio FP. Sodium and Potassium Intake, Knowledge Attitudes and Behaviour Towards Salt Consumption Amongst Adults in Podgorica, Montenegro. Nutrients. 2019; 11(1):160. https://doi.org/10.3390/nu11010160

Chicago/Turabian Style

D’Elia, Lanfranco, Mina Brajović, Aleksandra Klisic, Joao Breda, Jo Jewell, Vuk Cadjenović, and Francesco P Cappuccio. 2019. "Sodium and Potassium Intake, Knowledge Attitudes and Behaviour Towards Salt Consumption Amongst Adults in Podgorica, Montenegro" Nutrients 11, no. 1: 160. https://doi.org/10.3390/nu11010160

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop