- Open Access
The association of knowledge, attitudes and behaviours related to salt with 24-hour urinary sodium excretion
© Land et al.; licensee BioMed Central Ltd. 2014
- Received: 6 October 2013
- Accepted: 1 April 2014
- Published: 4 April 2014
Salt reduction efforts usually have a strong focus on consumer education. Understanding the association between salt consumption levels and knowledge, attitudes and behaviours towards salt should provide insight into the likely effectiveness of education-based programs.
A single 24-hour urine sample and a questionnaire describing knowledge, attitudes and behaviours was obtained from 306 randomly selected participants and 113 volunteers from a regional town in Australia.
Mean age of all participants was 55 years (range 20–88), 55% were women and mean 24-hour urinary salt excretion was 8.8(3.6) g/d. There was no difference in salt excretion between the randomly selected and volunteer sample. Virtually all participants (95%) identified that a diet high in salt can cause serious health problems with the majority of participants (81%) linking a high salt diet to raised blood pressure. There was no difference in salt excretion between those who did 8.7(2.1) g/d and did not 7.5(3.3) g/d identify that a diet high in salt causes high blood pressure (p = 0.1). Nor was there a difference between individuals who believed they consumed “too much” 8.9(3.3) g/d “just the right amount” 8.4(2.6) g/d or “too little salt” 9.1(3.7) g/d (p = 0.2). Likewise, individuals who indicated that lowering their salt intake was important 8.5(2.9) g/d vs. not important 8.8(2.4) g/d did not have different consumption levels (p = 0.4).
The absence of a clear association between knowledge, attitudes and behaviours towards salt and actual salt consumption suggests that interventions focused on knowledge, attitudes and behaviours alone may be of limited efficacy.
- Urinary sodium excretion
The burden of non-communicable diseases constitutes a major public health challenge worldwide. Raised blood pressure is the leading risk factor for the global burden of disease, estimated to cause 9 · 4 million deaths every year—more than half of the 17 million deaths a year attributed to cardiovascular disease . Decreasing dietary salt intake from the estimated global level of 9–12 grams per day(g/d)  to the recommended level of less than 6 g/d  would have a significant impact on blood pressure levels and cardiovascular disease, preventing up to 2.5 million deaths due to heart attacks and stroke worldwide each year . Consequently programs to reduce population salt intake have been identified as a cost effective action that should be undertaken immediately to produce accelerated results in terms of lives saved, disease prevented and costs avoided .
The primary source of salt in the diets of developed countries is processed foods, with discretionary salt accounting for a larger proportion of the intake in many low and middle income countries . Social and cultural factors, along with population age, educational level and average income are primary determinants of dietary behaviours but can be difficult to modify in the short term . Population knowledge, attitudes and behaviours, on the other hand, are thought to influence salt consumption and are considered modifiable mediating factors that are amenable to change . As such, salt reduction efforts often include interventions to raise consumer awareness. The objective of the present study was to describe the relationship between salt consumption levels and knowledge, attitudes and behaviours towards salt so as to provide insight into the likely effectiveness of salt reduction efforts based primarily upon health promotion and education.
Data were collected from a cross–sectional survey conducted in Lithgow, a regional town with a residential population of about 20,160  and a mean socio-economic index for area disadvantage score of 924.2 . The average SEIFA score for Australia is 1000 and ranges between 700 and 1200 in the most advantaged and disadvantaged areas. Lithgow is located 140 kilometres west of the Sydney, New South Wales Australia. Permission to undertake the study was obtained from the Lithgow City Council and the project was approved by the University of Sydney Human Research Ethics Committee. The methods for participant selection and study conduct have been published elsewhere .
Participant selection and recruitment
Individuals aged 20 years or above who were resident in Lithgow and listed on the electoral roll were eligible for inclusion in the study. Potential participants were required to provide written informed consent for enrolment to proceed. There was no exclusion based on illness, use of medications or any other aspect of demography or personal history. Recruitment was done by random sampling from the electoral roll and by asking for volunteers when random sampling delivered insufficient numbers.
Random sampling was done by selecting individuals at random from the electoral roll. The electoral roll provided the name and address of each potential participant with electronic databases searched to identify corresponding telephone numbers. Potential participants were first mailed invitations to take part in the survey, with an explanation of the purpose of the study, a participant information sheet and a consent form provided. These individuals were then contacted by telephone to determine their willingness to participate and to schedule an interview time. Where a telephone number could not be obtained, the home address was visited by a member of the research team and willingness to participate was discussed face-to-face. The response rate was poor (16%), however, a number of non-randomly selected volunteers were therefore included.
Volunteer sampling was done by offering participation in the study to individuals at two local shopping centres over several weeks. An information booth was established where those interested could seek further information about participation and arrange a visit by a member of the study team. Aside for the initial contact method the study was otherwise done in an identical manner for the random and volunteer samples.
Data collection comprised interviewer-administered questionnaires about demographics and knowledge, attitudes and behaviours related to salt, followed by a physical examination and a single 24-hour urine collection. The first set of these was done at the time of the visit with the urine collection scheduled to be completed within the next three days. The questions about knowledge, attitudes and behaviours were adapted from the World Health Organization/Pan American Health Organization protocol for population level sodium determination . The questionnaire contained nine questions; four related to knowledge of personal consumption, recommended daily intake and possible harmful effects of salt and five assessing attitudes and behaviours to lowering salt intake. The participants answered on a range of different scales such as “rarely, sometimes, often”, “yes, no” and “too much, just the right amount, too little”.
The physical examination comprised measurement of body weight (using calibrated Tanita HD-357 portable electronic scales (USA) and height (using a calibrated portable stadiometer Wedderburn WS-HRP model (Australia)) to the nearest 0.1 kg and 0.1 cm respectively. Body mass index (weight (kg)/height(m2)) was then calculated. Blood pressure was measured using a manual inflation blood pressure monitor (A&D UA-&704) in triplicate, according to the American Heart Association protocol .
A single 24-hour urine collection was obtained with the first voided urine upon waking on the day of collection being discarded and participants then collecting all voided urine up to, and including, the first void the following morning. Participants were instructed to keep collected samples inside cooler bags provided and stored in a cool, dark place until completion when a research assistant was contacted to collect the sample. The times at the beginning and the end of urine collection were recorded. The urine volume was noted and the urinary sodium concentration in an aliquot was measured by ion-selective electrode with the buffered kinetic Jaffe reaction without deproteinisation used for assay of urine creatinine (Cobas Integra 400). Suspected inaccurate urine collections (i.e. urinary creatinine < 4.0 mmol/day for women, or < 6.0 mmol/day for men, or a 24-hour urine collection of < 500 ml for either sex) and extreme outliers for urinary creatinine (i.e. > 3 standard deviations from the mean for either sex) were excluded [13, 14]. For each individual, the 24-hour sodium excretion value (mmol/day) was calculated as the concentration of sodium in the urine (mmol/L) multiplied by the urinary volume (L/day). The conversion from sodium (Na) to salt (NaCl) was made by multiplying the sodium value by 2.542 (NaCl(g) = Na(g) × 2.542).
In recognition of the inconvenience associated with the study procedures, participants that completed all components of the survey were provided with an AUD$40 shopping voucher.
The baseline characteristics of the sample were summarised as proportions and means (standard deviation or range). All primary analyses were done on the combined sample of randomly selected individuals and volunteers with subsidiary analyses done to check that the findings were similar between the two populations. The associations of knowledge, attitudes and behaviours with 24-hour urinary sodium excretion were investigated by making comparisons using linear regression, however because two covariates (sex and education) are not continuous the term general linear model is applied which incorporates both categorical and continuous variables. We first made crude estimates and then estimates adjusted for age, sex, body mass index and highest level of education. The adjusted estimates constituted the primary results with the first three covariates included on the basis of their observed association with salt consumption, and the latter on the basis of a strong rationale for potential confounding by this factor. P values <0.05 were deemed significant. There was no formal adjustment made for the multiplicity of testing but all findings were interpreted in light of the number of comparisons made and the broader pattern of findings across the data. Statistical analyses were conducted using SPSS for Windows (Version 21, SPSS Inc, Chicago, IL).
Characteristics of participants
Total sample (n = 419)
Random sample (n = 306)
Volunteer sample (n = 113)
Age, years (mean, range)
Height, cm (mean, SD)
Weight, kg (mean, SD)
Body Mass Index, kg/m2(mean, SD)
Systolic Blood Pressure, mmHg (mean, SD)
Diastolic Blood Pressure, mmHg (mean, SD)
-Secondary or below (%)
-Very good (%)
-Current (> 1/day for last year) (%)
Alcoholic consumption (time since last consumption)
One week or less (%)
> One week < 12 months (%)
12 months or more (%)
-High blood pressure (%)
-Low blood pressure (%)
-High cholesterol (%)
-Heart attack (%)
Prescription Medication Use
-Lipid lowering (%)
-Glucose lowering (%)
-Any prescription medication (%)
24 hour urinary salt excretion levels
The mean 24-hour urinary salt excretion amongst the 419 participants was 8.8 (standard deviation, 3.6) g/d. The proportion exceeding the World Health Organization recommended maximum level of 5 g/d was 87%, the proportion exceeding the Australian Government recommended maximum level of 6 g/d was 78%, and proportion consuming the Australian Government suggested dietary target of 4 g/d or less was just 6%. Urinary salt excretion was significantly higher in men compared to women (p < 0.001), there was an inverse association between daily salt excretion and age (p = 0.007) and a positive association between salt excretion and BMI (p < 0.001). There was no significant association between highest level of education and salt consumption (p = 0.10).
Knowledge, attitudes and behaviours towards salt
Almost all participants (95%) identified that a diet high in salt can cause serious health problems with the majority of participants (81%) linking a high salt diet to raised blood pressure. One half (50%) of the participants described themselves as consuming “the right amount” of salt although less than one fifth (18%) recognised the recommended Australian upper daily intake for dietary salt (6 g/d). Just over two thirds (63%) of participants reported taking action on a regular basis to control their salt intake. Of those who reported taking action to lower their salt intake, participants did so by avoiding processed foods (44%), using low salt alternatives (34%), and checking labels (30%) or by using spices other than salt (29%). Actions to control salt intake were more common in women than men (p = 0.04) but otherwise there were no differences detected between the responses of the sexes, different age groups, individuals with different levels of body mass index or individuals with different levels of education (all p > 0.05).
Associations of knowledge, attitudes and behaviours with 24-hour urinary salt excretion
Association between knowledge, attitudes and behaviours and urinary salt excretion (grams per day)
Max salt consumption recommendation
Does a high salt diet cause health problems?
If yes, what problems? (Raised Blood Pressure)
How much salt do you think you consume?
How important to you is lowering salt in your diet?
Add salt to food at table
Add salt when cooking
Take regular action taken to control your salt intake?**
If yes, what?
-Avoid processed foods
-Buy low salt alternatives
-Avoid eating out
We identified no association between consumer knowledge, attitudes and behaviours relating to salt and actual levels of salt intake. Furthermore, while most participants identified that salt is detrimental to health, and large numbers reported actions to address their salt consumption, the great majority of this sample of the Australian population continued to consume salt at a level above national and international recommendations.
The levels of knowledge, attitudes and behaviours of the participants are similar to those reported in a prior survey of a national sample of Australian consumers done in 2007 [15, 16] and a more recent study conducted in metropolitan Melbourne . Both these studies found that the majority of participants were aware of the harmful effect of salt on health but also showed that few were able to identify the recommended upper daily intake and revealed limited knowledge of the main foods that contribute to salt in the diet. Those Australian studies are also likely to have enrolled participants with comparable average levels and patterns of salt consumption to those reported here. Similar surveys have also been done for populations in five countries in the Americas (Argentina, Canada, Chile, Costa Rica, and Ecuador)  with similar findings, suggesting that the results found in this most recent Australian study are not atypical.
Our examination of the association between knowledge, attitudes and behaviours and actual levels of salt consumption is novel and raises questions about the likely capacity of purely educational interventions to change individual or community salt consumption levels. Given the high levels of knowledge and positive attitudes to salt reduction recorded in our survey, the most likely explanation for high salt consumption levels across the community is that there are many barriers to changing behaviour. The adverse nature of the food environment which comprises heavily advertised, low-cost foods high in salt, and without adequate labelling of salt levels on packaging, is likely to be a key factor inhibiting reductions in salt consumption amongst even well-informed individuals .
In contrast, several intervention trials have demonstrated effects of nutrition education on salt consumption in selected groups of individuals [20–22]. The reason why these trials had positive effects is most likely because of the high intensity of the interventions applied, which typically included multiple one-on-one consultations with participants, small group activities or provision of reduced salt foodstuffs. While clearly effective, this type of approach is not feasible at the population level because of the resources required  and the observed benefits cannot reasonably be generalised to community settings where average exposure of individuals to educational interventions targeting salt is so much less. It is of note that in the UK, Japan and Finland, where population-wide salt reduction has been achieved, community education was underpinned by programs that changed the average salt levels in key foods, used salt warning labels to reinforce the health promotion messages and/or altered the broader food environment in some other way [24–26].
This study benefits from assessment of salt consumption based upon 24-hour urine collections and the use of standardised questions about knowledge, attitudes and behaviours related to salt. While the questionnaires have not undergone rigorous test-retest evaluation these types of survey outcomes are widely considered valid within the field. The cross-sectional design means that there remains some uncertainty about cause and effect in the results observed although when considered in the broader context, the findings are not inconsistent with the existing literature in this field. Standard checks for completeness of the specimens based upon urine volume and urine creatinine excretion were done but it remains likely that some urine samples were over-collections and others were under-collections. Para-aminobenzoic acid (PABA) has been used as a marker for completeness in overseas studies , but it is not without limitations  and currently not approved for use in Australia . We believe that any errors in the included data are likely to be random and while this should not affect the mean group level estimates of salt intake, it could have reduced the power to detect associations between exposures and outcomes. In addition, because only one estimate was collected for each individual, and because there is significant within person variation in salt consumption from day to day, the variability of salt consumption within the population is likely to have been over-estimated. In turn, this means that the estimated proportions of individuals meeting the various salt targets (all of which lie below the population mean) are likely to have been over-estimated. It is likely that social approval bias [30, 31] resulted in more socially desirable responses but we do not believe this is likely to have happened differentially across population subgroups and think it is unlikely to have substantively confounded our results. The survey was restricted to one regional town with a below average socio-economic index for area (SEIFA) score which raises concerns about the generalizability of the data. The SEIFA score is derived from attributes that reflect disadvantage such as low income, low educational attainment, high unemployment and jobs in relatively unskilled occupations . However, comparable levels of knowledge and reported behaviours in other Australian surveys [32–38] using a range of different instruments [15–17] suggest that the findings are likely also to be valid outside of Lithgow. The constancy of the results across unadjusted and confounder-adjusted models, and in each of the study sub-populations, also argues for a fairly robust finding.
In conclusion, many of the participants surveyed were knowledgeable about the adverse effects of salt and reported efforts to ameliorate the risks caused by excess salt consumption. The persisting high levels of salt consumption across the population and the absence of any detectable association of knowledge levels with actual salt consumption are a significant concern. These data strongly suggest that education alone will be ineffective in reducing population salt consumption levels and that education programs must be supported by interventions that change the food environment in ways that encourage population-wide behaviour change. The food industry will play a central role in achieving population-wide salt reduction through the process of food reformulation, which has a key advantage over targeted behavioural and education interventions in that it can be delivered and sustained at scale  This is by no means a message unique to salt reduction efforts, with programs targeting obesity and alcohol consumption identifying similar limitations for programs based purely on education [40, 41].
The authors thank Lithgow City Council, The University of Notre Dame Rural Clinical School - Lithgow for their support and most importantly all of the participants for their support and interest in the study.
Sources of funding
Funding support for this study was provided by a National Health and Medical Research Council (NHMRC) of Australia partnership project (Neal #13372) which includes The George Institute for Global Health in partnership with the Australian Division of World Action on Salt and Health (AWASH), the Australian Food and Grocery Council, the New South Wales Food Authority and New South Wales Health. Bruce Neal was supported by an Australian Research Council Future Fellowship, Mark Woodward by a NHMRC Fellowship and Jacqui Webster by a National Heart Foundation and Stroke Foundation postdoctoral research fellowship.
- Lim SS, Vos T, Flaxman AD, Danaei G, Shibuya K, Adair-Rohani H, Amann M, Anderson HR, Andrews KG, Aryee M, Atkinson C, Bacchus LJ, Bahalim AN, Balakrishnan K, Balmes J, Barker-Collo S, Baxter A, Bell ML, Blore JD, Blyth F, Bonner C, Borges G, Bourne R, Boussinesq M, Brauer M, Brooks P, Bruce NG, Brunekreef B, Bryan-Hancock C, Bucello C: A comparative risk assessment of burden of disease and injury attributable to 67 risk factors and risk factor clusters in 21 regions, 1990–2010: a systematic analysis for the Global Burden of Disease Study 2010. Lancet. 2012, 380 (9859): 2224-2260. 10.1016/S0140-6736(12)61766-8.View ArticleGoogle Scholar
- Brown IJ, Tzoulaki I, Candeias V, Elliott P: Salt intakes around the world: implications for public health. Int J Epidemiol. 2009, 38 (3): 791-813. 10.1093/ije/dyp139.View ArticleGoogle Scholar
- National Health and Medical Research Council: Nutrient Reference Values for Australia and New Zealand. 2006, https://www.nhmrc.gov.au/_files_nhmrc/publications/attachments/n35.pdf.Google Scholar
- He FJ, MacGregor GA: A comprehensive review on salt and health and current experience of worldwide salt reduction programmes. J Hum Hypertens. 2009, 23 (6): 363-384. 10.1038/jhh.2008.144.View ArticleGoogle Scholar
- World Health Organization: 2008-2013 Action Plan for the Global Strategy for the Prevention and Control of Noncommunicable Diseases. 2008, Geneva, http://whqlibdoc.who.int/publications/2009/9789241597418_eng.pdf.Google Scholar
- Lallukka T, Laaksonen M, Rahkonen O, Roos E, Lahelma E: Multiple socio-economic circumstances and healthy food habits. Eur J Clin Nutr. 2007, 61 (6): 701-710. 10.1038/sj.ejcn.1602583.View ArticleGoogle Scholar
- Sarmugam R, Worsley A, Wang W: An examination of the mediating role of salt knowledge and beliefs on the relationship between socio-demographic factors and discretionary salt use: a cross-sectional study. Int J Behav Nutr Phys Act. 2013, 10: 25-10.1186/1479-5868-10-25.View ArticleGoogle Scholar
- 2011 Census Quickstats Lithgow New South Wales. [http://www.censusdata.abs.gov.au/census_services/getproduct/census/2011/quickstat/LGA14870?opendocument&navpos=220]
- SEIFA: Socio-Economic Indexes for Areas. [http://www.abs.gov.au/websitedbs/censushome.nsf/home/seifa]
- Land MA, Webster J, Christoforou A, Praveen D, Jeffery P, Chalmers J, Smith W, Woodward M, Barzi F, Nowson C, Flood V, Neal B: Salt intake assessed by 24 h urinary sodium excretion in a random and opportunistic sample in Australia. BMJ open. 2014, 4 (1): e003720-10.1136/bmjopen-2013-003720.View ArticleGoogle Scholar
- World Health Organization and Pan American Health Organization Regional Expert Group for Cardiovascular Disease Prevention through Population-wide Dietary Salt Reduction (Sub-group for research and surveillance): Protocol for Population level Sodium Determination in 24-Hour Urine Samples. 2010, http://www.paho.org/hq/index.php?option=com_docman&task=doc_view&gid=21488&Itemid=.Google Scholar
- Perloff D, Grim C, Flack J, Frohlich ED, Hill M, McDonald M, Morgenstern BZ: Human blood pressure determination by sphygmomanometry. Circ. 1993, 88 (5 Pt 1): 2460-2470.View ArticleGoogle Scholar
- Huggins CE, O’Reilly S, Brinkman M, Hodge A, Giles GG, English DR, Nowson CA: Relationship of urinary sodium and sodium-to-potassium ratio to blood pressure in older adults in Australia. Med J Aust. 2011, 195 (3): 128-132.Google Scholar
- Stolarz-Skrzypek K, Kuznetsove T, Thijs L, Tikhonoff V, Seidlerová J, Richart T, Jin Y, Olszanecka A, Malyutina S, Casigila E, Filipovský J, Kawecka-Jaszcz K, Nikitin Y, Staessen JA, European Project on Genes in Hypertension (EPOGH) Investigators: Fatal and nonfatal outcomes, incidence of hypertension, and blood pressure changes in relation to urinary sodium excretion. Jama. 2011, 305 (17): 1777-1785. 10.1001/jama.2011.574.View ArticleGoogle Scholar
- Webster JL, Li N, Dunford EK, Nowson CA, Neal BC: Consumer awareness and self-reported behaviours related to salt consumption in Australia. Asia Pac J Clin Nutr. 2010, 19 (4): 550-554.Google Scholar
- Australian Division of World Action on Salt and Health: 2007 Survey of Australian Consumer Awareness and Practices Relating to Salt. 2007, [http://www.awash.org.au/wp-content/uploads/2012/10/AWASH_ConsumerSurveyReport_2007_05_15.pdf]Google Scholar
- Grimes CA, Riddell LJ, Nowson CA: Consumer knowledge and attitudes to salt intake and labelled salt information. Appetite. 2009, 53 (2): 189-194. 10.1016/j.appet.2009.06.007.View ArticleGoogle Scholar
- Claro RM, Linders H, Ricardo CZ, Legetic B, Campbell NRC: Consumer attitudes, knowledge, and behavior related to salt consumption in sentinel countries of the Americas. Rev Panam Salud Publica. 2012, 32 (4): 265-273. 10.1590/S1020-49892012001000004.View ArticleGoogle Scholar
- Swinburn B: Obesity prevention: the role of policies, laws and regulations. Aus and NZ Health Pol. 2008, 5: 1-7. 10.1186/1743-8462-5-1.View ArticleGoogle Scholar
- Robare JF, Milas NC, Bayles CM, Williams K, Newman AB, Lovalekar MT, Boudreau R, McTigue K, Albert SM, Kuller LH: The key to life nutrition program: results from a community-based dietary sodium reduction trial. Publ Health Nutr. 2010, 13 (5): 606-614. 10.1017/S1368980009991583.View ArticleGoogle Scholar
- Forte JG, Miguel JM, Miguel MJ, de Padua F, Rose G: Salt and blood pressure: a community trial. J Hum Hypertens. 1989, 3 (3): 179-184.Google Scholar
- Svetkey LP, Sacks FM, Obarzanek E, Vollmer WM, Appel LJ, Lin PH, Karanja NM, Harsha DW, Bray GA, Aickin M, Proschan MA, Windhauser MM, Swain JF, McCarron PB, Rhodes DG, Laws RL: The DASH Diet, Sodium Intake and Blood Pressure Trial (DASH-sodium): rationale and design. DASH-Sodium Collaborative Research Group. J Am Diet Assoc. 1999, 99 (8 Suppl): S96-S104.View ArticleGoogle Scholar
- Cobiac LJ, Vos T, Veerman JL: Cost-effectiveness of interventions to reduce dietary salt intake. Heart. 2010, 96 (23): 1920-1925. 10.1136/hrt.2010.199240.View ArticleGoogle Scholar
- Cappuccio FP, Capewell S, Lincoln P, McPherson K: Policy options to reduce population salt intake. BMJ. 2011, 11 (343): d4995.View ArticleGoogle Scholar
- Sadler K, Nicholson S, Steer T, Gill V, Bates B, Tipping S, Cox L, Lennox A: National Diet and Nutrition Survey - Assessment of dietary sodium in adults (aged 19 to 64 years) in England. 2011, https://www.gov.uk/government/uploads/system/uploads/attachment_data/file/213420/Sodium-Survey-England-2011_Text_to-DH_FINAL1.pdf.Google Scholar
- Tuomilehto J, Puska P, Nissinen A, Salonen J, Tanskanen A, Pietinen P, Wolf E: Community-based prevention of hypertension in North Karelia, Finland. Ann Clin Res. 1984, 43: 18-27.Google Scholar
- Bingham SA, Cummings JH: The use of creatinine output as a check on the completeness of 24-hour urine collections. Hum Nutr Clin Nutr. 1985, 39 (5): 343-353.Google Scholar
- Jakobsen J, Pedersen AN, Ovesen L: Para-aminobenzoic acid (PABA) used as a marker for completeness of 24 hour urine: effects of age and dosage scheduling. Eur J Clin Nutr. 2003, 57 (1): 138-142. 10.1038/sj.ejcn.1601505.View ArticleGoogle Scholar
- Therapeutic Goods Administration. [http://www.tga.gov.au/index.htm#.U0S14vmSySp]
- Hebert JR, Clemow L, Pbert L, Ockene IS, Ockene JK: Social desirability bias in dietary self-report may compromise the validity of dietary intake measures. Int J Epidemiol. 1995, 24 (2): 389-398. 10.1093/ije/24.2.389.View ArticleGoogle Scholar
- Miller TM, Abdel-Maksoud MF, Crane LA, Marcus AC, Byers TE: Effects of social approval bias on self-reported fruit and vegetable consumption: a randomized controlled trial. Nutr J. 2008, 7: 18-10.1186/1475-2891-7-18.View ArticleGoogle Scholar
- Beard TC, Woodward DR, Ball PJ, Hornsby H, von Witt RJ, Dwyer T: The Hobart salt study 1995: few meet national sodium intake target. Med J Aust. 1997, 166 (8): 404-407.Google Scholar
- Cumming RG, Mitchell P, Smith W: Dietary sodium intake and cataract: the blue mountains eye study. Am J Epidemiol. 2000, 151 (6): 624-626. 10.1093/oxfordjournals.aje.a010251.View ArticleGoogle Scholar
- Nowson CA, Morgan TO, Gibbons C: Decreasing dietary sodium while following a self-selected potassium-rich diet reduces blood pressure. J Nutr. 2003, 133 (12): 4118-4123.Google Scholar
- Nowson CA, Worsley A, Margerison C, Jorna MK, Frame AG, Torres SJ, Godfrey SJ: Blood pressure response to dietary modifications in free-living individuals. J Nutr. 2004, 134 (9): 2322-2329.Google Scholar
- Margerison C, Nowson C: Dietary intake and 24-hour excretion of sodium and potassium. Asia Pac J Clin Nutr. 2006, 15: S37.Google Scholar
- Brinkworth GD, Wycherley TP, Noakes M, Clifton PM: Reductions in blood pressure following energy restriction for weight loss do not rebound after re-establishment of energy balance in overweight and obese subjects. Clin Exp Hypertens. 2008, 30 (5): 385-396. 10.1080/10641960802275734.View ArticleGoogle Scholar
- Charlton K, Yeatman H, Houweling F, Guenon S: Urinary sodium excretion, dietary sources of sodium intake and knowledge and practices around salt use in a group of healthy Australian women. Aust New Zeal J Publ Health. 2010, 34 (4): 356-363. 10.1111/j.1753-6405.2010.00566.x.View ArticleGoogle Scholar
- Elliott T, Trevena H, Sacks G, Dunford E, Martin J, Webster J, Swinburn B, Moodie R, Wilson A, Neal B: A systematic interim assessment of the Australian government’s food and health dialogue. Med J Aust. 2014, 200 (2): 92-95. 10.5694/mja13.11240.View ArticleGoogle Scholar
- Cavill N, Bauman A: Changing the way people think about health-enhancing physical activity: do mass media campaigns have a role?. J Sports Sci. 2004, 22 (8): 771-790. 10.1080/02640410410001712467.View ArticleGoogle Scholar
- Chisholm D, Rehm J, Van Ommeren M, Monteiro M: Reducing the global burden of hazardous alcohol use: a comparative cost-effectiveness analysis. J Stud Alcohol. 2004, 65 (6): 782-793.View ArticleGoogle Scholar
This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.