Hostname: page-component-586b7cd67f-t7czq Total loading time: 0 Render date: 2024-11-22T20:43:51.794Z Has data issue: false hasContentIssue false

Dietary approach to hypertension based on low glycaemic index and principles of DASH (Dietary Approaches to Stop Hypertension): a randomised trial in a primary care service

Published online by Cambridge University Press:  30 April 2013

Sílvia Tereza Rodrigues Moreira Lima*
Affiliation:
Department of Health Sciences, Federal University of Maranhão, Avenida dos Portugueses, s/n, Cidade Universitária (Bacanga), São Luís, MA, Brazil
Bárbara da Silva Nalin de Souza
Affiliation:
Institute of Social Medicine, State University of Rio de Janeiro, Rua São Francisco Xavier, 524 Bloco E, sala 7002, Rio de Janeiro, RJ, Brazil
Ana Karina Teixeira França
Affiliation:
Department of Health Sciences, Federal University of Maranhão, Avenida dos Portugueses, s/n, Cidade Universitária (Bacanga), São Luís, MA, Brazil
Natalino Salgado Filho
Affiliation:
Department of Medicine I, Federal University of Maranhão, Praça Gonçalves Dias n° 2, Centro, São Luís, MA, Brazil
Rosely Sichieri
Affiliation:
Institute of Social Medicine, State University of Rio de Janeiro, Rua São Francisco Xavier, 524 Bloco E, sala 7002, Rio de Janeiro, RJ, Brazil
*
*Corresponding author: S. T. R. M. Lima, fax +55 98 32 359334, email [email protected]
Rights & Permissions [Opens in a new window]

Abstract

Hypertension is one of the leading causes of morbidity and mortality in Brazil. Diet may play an important role in reducing blood pressure (BP), as has been shown for diets high in fruits, vegetables and low-fat dairy products and low in salt (Dietary Approaches to Stop Hypertension (DASH)-Na). A low-glycaemic index Brazilian diet combined with the principles of the DASH-Na diet was evaluated in a randomised study of 206 individuals who were followed for 6 months. In the control group (CG), counselling was based on standard care and mainly focused on salt intake reduction. An intention-to-treat analysis showed that, after 6 months, systolic BP was reduced by 14·4 mmHg and diastolic BP by 9·7 mmHg in the experimental group (EG), compared with 6·7 and 4·6 mmHg, respectively, in the CG. After adjusting for body weight, BP at baseline and age, these changes were 12·1 and 7·9 mmHg, respectively. Urinary Na excretion was also reduced by 43·4 mEq/24 h in the EG. Food intake was modified accordingly during the intervention with an increase in the consumption of vegetables (2·97–5·85 frequency of consumption measured in three non-consecutive days), fruits (4·09–7·18), beans (1·94–3·13) and fish (1·80–2·74) by the EG. The present study showed the feasibility of a Brazilian dietary approach to treating hypertension by reducing urinary Na excretion and BP, changes that may have a great impact on public health and promote the benefits of controlling hypertension.

Type
Full Papers
Copyright
Copyright © The Authors 2013 

Arterial hypertension is one of the most important modifiable(1) and well-established risk factors for CVD(Reference Oliveira-Martins, Oliveira and Gomes2) and neurocognitive dysfunction(Reference Smith, Blumenthal and Babyak3). In Brazil, the prevalence of hypertension reaches 23·3 % in the adult population(Reference Iser, Claro and de Moura4) and, despite the actions of prevention and control implemented by the Ministry of Health(5), for this morbidity, less than one-third of individuals diagnosed with hypertension are able to lower their blood pressure (BP) levels adequately with the recommended treatment(Reference Chobanian, Bakris and Black6).

Trends in the Brazilian dietary pattern are consistent with the increasing prevalence of chronic disease(Reference Levy-Costa, Sichieri and Pontes Ndos7) and are mainly characterised by a low intake of milk, fruits and vegetables(Reference Souza, Bezerra and Cunha8). The Dietary Approaches to Stop Hypertension (DASH) diet has been shown to be an effective non-pharmacological treatment for the control of hypertension(Reference Chobanian, Bakris and Black6) and emphasises the increased consumption of fruits, vegetables and low-fat dairy products, as well as reduced salt intake (DASH-Na)(Reference Sacks, Svetkey and Vollmer9). Diets with a low glycaemic index (GI) are also potentially effective in reducing BP, as indicated in a large randomised study(Reference Gögebakan, Kohl and Osterhoff10).

Systematic reviews of the role of salt-reduced diets and weight-loss diets have shown small, long-term effects on BP. However, it would be problematic to make generalisations about the effect of the DASH diet for many different populations(Reference Siebenhofer, Jeitler and Berghold11, Reference Horvath, Jeitler and Siering12).

In the present study, we combined the principles of the DASH-Na diet with the ingestion of low-GI foods that are highly consumed in Brazil to design a diet that could be affordable, sustainable and culturally acceptable. Thus, the aim of the present study was to evaluate the impact of a Brazilian dietary approach to hypertension on BP levels and urinary Na and K excretion in hypertensive patients who were being monitored by primary health care providers in a poor region of Brazil.

Methods

The randomised trial was conducted in two primary care health units that assist hypertensive patients (Program HiperDia of the Brazilian Ministry of Health). The units were situated in the urban area of the city of São Luís, Maranhão, Brazil.

Participants

Participants who were at least 20 years of age were recruited between January 2010 and September 2011 from the list of participants in the Program HiperDia, a programme dedicated to the treatment of hypertensive patients located in the city of São Luís, Maranhão, Brazil. Patients with diabetes, chronic renal diseases and cancer, as well as pregnant women, were excluded from the study. Of the 673 total eligible patients, 206 individuals were randomised into either the control group (CG) or the experimental group (EG). The patient randomisation list was computer-generated by blocking. Sealed envelopes were used at the clinic to randomise the patients. The progress of the patients during the study is shown in Fig. 1. Assuming a reduction in systolic BP (SBP) of 7·1 mmHg and a standard deviation of 10 mmHg(Reference Sacks, Svetkey and Vollmer9), with a significance level of 5 % and 80 % power, a sample size of thirty-one subjects per arm (total n 62) was required.

Fig. 1 Progress of the participants during the study.

A diagnosis of hypertension, as proposed by the Ministry of Health of Brazil and adopted by the HiperDia Program, was made for individuals with a SBP ≥ 140 mmHg and/or diastolic BP (DBP) ≥ 90 mmHg(1) who are not using antihypertensive medication(5). The present study was conducted according to the guidelines laid down in the Declaration of Helsinki, and all procedures involving human subjects/patients were approved by the Ethics Committee of the University Hospital of Federal University of Maranhão (protocol no. 312/09) and the trial was registered at the Brazilian Register Clinical Trials of the Ministry of Health of Brazil (no. RBR8ztcv9). Written informed consent was obtained from all subjects/patients.

Intervention

Both groups (EG and CG) received standard care focused on salt intake reduction and hypertension control. The EG, in addition to standard care, also received monthly nutritional counselling provided by a nutritionist, which was based on the principles of the DASH(Reference Appel, Moore and Obarzanek13) and the glycaemic levels of common foods(Reference Sichieri, Moura and Genelhu14). These recommendations were focused on foods with a low to moderate GI (GI < 70), with glucose as the reference standard and using the foods listed in the ‘International Tables of Glycemic Index and Glycemic Load Values’(Reference Foster-Powell, Holt and Brand-Miller15).

Compared with regular diets, the one proposed in the present study encouraged increased intake of fruits, vegetables, low-fat dairy products, beans and manioc products, while discouraging excess consumption of salt, meats and meat products and sugar-sweetened beverages. Food item choices were also adapted to the local production and eating habits (Fig. 2).

Fig. 2 Food groups included in the basic menu.

The CG received standard care focused on reducing Na intake, according to assistance provided by the health unit. At the end of the study, an adapted Brazilian diet was also recommended for implementation by the CG.

Data collection

Subjects answered a questionnaire on sociodemographic data, co-morbidities and lifestyle factors. Physical activity level was measured by a validated questionnaire that included leisure, occupational, commuting and housework activities(Reference Matsudo, Araújo and Marsudo16).

Weight was measured using an electronic digital scale (Líder®), and height was measured using a portable stadiometer (Alturexata®). BMI was calculated as weight in kg divided by the square of height in m (kg/m2). BMI were classified according to the WHO standards, which are defined as follows: < 25·0 kg/m2; 25·0–29·9 kg/m2; ≥ 30·0 kg/m2(17).

Dietary intake was estimated by three non-consecutive 24 h records, including two weekdays and one weekend day, in which all foods and beverages consumed, their time of consumption, the quantity consumed (in units of household measurements), the form of food preparation and the location of preparation were recorded. For more detailed information, a form with instructions about how to report food consumption was provided to the participants.

Nutritional analysis was performed using BRASIL-NUTRI® software, which was developed by Instituto Brasileiro de Geografia e Estatística and has been utilised by national surveys(18).

BP was measured using an electronic sphygmomanometer (HEM-742INT; Omron®), in accordance with the procedures recommended by the American Heart Association(Reference Pickering, Hall and Appel19). Overall, three measurements were taken, and the mean was calculated.

A 24 h urinary Na and K excretion test was performed. Patients received appropriate bottles and were carefully instructed to collect all urine produced during the 24 h period, to continue drinking water normally throughout the day and to discard the first urine in the morning of the initial collection day(Reference Ferreira-Sae, Gallani and Nadruz20). Urinary Na excretion was measured spectrophotometrically and converted to mEq/l. Na intake was estimated by assuming that approximately 86 % of the total Na intake of the day is excreted in the urine(Reference Holbrook, Patterson and Bodner21).

Nutritional counselling

During the 6-month follow-up study, BP and anthropometric measures were recorded monthly, and food consumption evaluation took place both in the third month and at the end of the study. On the evening of the day before the appointment, patients were contacted to either confirm their clinical appointment or reschedule it.

The EG received a diet plan with a food equivalency list and schedules in which food groups and servings were distributed according to and between the main meals. This plan was reinforced in each visit beginning with the first appointment. The foods included in dietary recommendations were based on the DASH diet(Reference Appel, Moore and Obarzanek13), with the reduction of salt intake and the inclusion of low-GI food items(Reference Sichieri, Moura and Genelhu14). Thus, increased consumption of fruits, vegetables, fish, whole grains, parboiled rice, beans and natural spices (such as pepper, garlic, chives, green scent and oregano) was emphasised to reduce Na intake. The diet was therefore also high in K, Mg and fibre, as well as being lower in saturated fat, total fat, cholesterol, refined grains, Na and sweets. Encouraged foods are outlined in Fig. 2.

The recommendations included daily consumption of the following: three servings of low-fat milk; three to five servings of fruits; four to five servings of vegetables; one serving of legumes; five to nine servings of grains, roots and tubers; one to two servings of meat, mainly fish. Additionally, all food consumption was to be distributed over five to six meals a day(Reference Philippi, Latterza and Cruz22).

In the follow-up appointments, the diet plan was adjusted and nutrition education was discussed. Conversations focused on patient difficulties and the importance of healthy eating habits. At the end of the study, the groups underwent a new 24 h urine collection.

Analysis

Age was categorised into < 60 and ≥ 60 years. The family monthly income was also categorised into multiples of minimum wage (which in Brazil was approximately $US 283·00): ≤ 2; 3–5; ≥ 6. Participants were classified as white or non-white according to their skin colour. Educational level was assessed in years of schooling: < 4; 4–8; ≥ 8. Participants were classified as smokers or non-smokers, as well as alcohol consumers or non-alcohol consumers. Patients were considered physically active if they performed at least 150 min of weekly physical activity.

All statistical analyses were performed using SAS software (version 9.1; SAS Institute, Inc.). Initially, raw data were tested for normality using the Shapiro–Wilk test. The baseline characteristics of the two groups were compared using Student's t test if the variables were continuous or Fisher's exact test if the data were categorical. A paired t test was used to compare changes in urinary Na and K excretion from baseline to post-intervention. Repeated-measures regression analyses were performed for measurements of BP and weight using mixed models. Data were adjusted for baseline values of BP and weight, weight change, age and duration of intervention. Results were considered as statistically significant at a one-tailed level of 0·05.

Results

Of the 206 individuals randomised in the study, 156 completed the data collection (Fig. 1). The baseline characteristics of the participants in the two groups are shown in Table 1. No significant differences in any of the characteristics were observed between the groups, except for age.

Table 1 Baseline characteristics of the participants according to intervention

All patients received essential drugs for hypertension treatment monthly. Antihypertensive medications provided by the Ministry of Health and taken by the subjects consisted of angiotensin-converting enzyme inhibitors, β-blockers and the diuretic hydrochlorothiazide. A total of one, two or three antihypertensive agents were used by 64, 33 and 3 % of the subjects, respectively.

Fig. 3 shows BP changes observed during the follow-up. Patients who underwent the dietary intervention had a statistically significant reduction in both SBP and DBP in comparison with CG patients (P= 0·02, P= 0·04, respectively). The mean of both SBP and DBP decreased by 14·4 and 9·7 mmHg, respectively, in the EG, compared with 6·7 and 4·6 mmHg in the CG.

Fig. 3 (a) Systolic blood pressure and (b) diastolic blood pressure according to intervention. Values are means, with their standard errors represented by vertical bars. Mean values were significantly different for the experimental (n 105, ) and control (n 101, ) groups (P< 0·05).

After adjusting for baseline values of BP and weight, age and duration of intervention, there was a 7·9 mmHg DBP and a 1·7 kg weight reduction in the EG. For both analyses, the variable time × intervention, which tests changes over time related to the intervention, was statistically significant (Table 2).

Table 2 Blood pressure and weight changes during the follow-up according to intervention*

* The PROC MIXED model included weight, weight change, age, blood pressure at baseline, time and time × intervention (variable that measures changes over time).

Table 3 reports the 24 h urinary Na and K excretion in all patients. At baseline, the mean urinary Na in the EG was 151 mEq/24 h. At the 5-month follow-up, the mean urinary Na dropped to 106 mEq/24 h. This 43·4 (95 % CI 99, 114) mEq/24 h reduction was statistically significant (P< 0·01). In the CG, urinary Na increased by 2·5 mEq/24 h, which was not significantly different (P= 0·77). The 24 h urinary K increased by 3·4 mEq/24 h for the EG and decreased by 4·1 mEq/24 h in the CG, but the changes were not statistically significant (P= 0·13 and P= 0·07).

Table 3 Urinary sodium and potassium excretion of the participants according to intervention (Mean values and 95 % confidence intervals)

* P calculated using a paired t test of the change in urinary Na from baseline to post-intervention.

Food intake at baseline and follow-up (first-wave follow-up) and at the last month of the follow-up (second-wave follow-up) are shown in Table 4. In the EG, a gradual increased intake of the encouraged foods that the patients were counselled to eat was observed throughout the intervention period.

Table 4 Frequency of reported consumption in 3 d – records by food groups

Changes over time in dietary intake were associated with a greater and statistically significant change in the GL of the intervention group compared with the CG. A 9·6 reduction in the intervention group compared with the CG was observed, but this change was mostly related to a reduction in carbohydrate intake with almost no change in the GL. A statistically significant reduction in lipids in the intervention compared with the CG was also observed (Table 5).

Table 5 Energy and macronutrient intake, fibre and glycaemic index (GI, glucose reference) and glycaemic load (GL) of the diet at baseline and follow-up comparing the experimental and control groups

* Change over time comparing the intervention with the control based on repeated measures with time and time × intervention variables.

P value related to the change over time (P value of the variable time × intervention).

Discussion

The present study showed that individuals diagnosed with hypertension who were being treated by a primary health care provider and who were advised to follow a low GI and DASH diet showed a reduction in both BP and urinary Na excretion.

The hypotensive effect of the experimental diet when compared with the control, based mainly on salt reduction, was 12·1 mmHg for SBP and 7·9 mmHg for DBP, values that are of high clinical significance. The levelling effect on BP observed at 3 months was probably attributed to the initial expectations of the patient related to his/her participation in a study for hypertension treatment and the type of assistance provided, which led patients to achieve greater self-care and feel more assisted by the health team. However, this effect was not maintained until the end of the experiment; the nutritional intervention was received by the CG only after the completion of the study.

The reductions observed in the present study were greater than those observed in the studies of salt reduction alone. Meta-analyses of randomised controlled trials showed that the effects of reduced Na intake on BP in hypertensive patients are about half of those observed in the present study, but also showed a greater effect on SBP reduction. Thus, Horvath et al. (Reference Horvath, Jeitler and Siering12) noted a significant reduction in SBP and DBP (6·26 and 3·41 mmHg, respectively). Similarly, Graudal et al. (Reference Graudal, Hubeck-Graudal and Jürgens23) reported a reduction in SBP and DBP levels of by 3·5 %. However, another meta-analysis conducted by Taylor et al. (Reference Taylor, Ashton and Moxham24) showed modest SBP and DBP reductions that were not statistically significant.

The results of studies using only the DASH diet vary in the magnitude of its effect. The results of long follow-up studies such as the one in this study are much smaller than those observed in this study. The original DASH study(Reference Appel, Moore and Obarzanek13), conducted among 133 hypertensive patients, compared the effects of a traditional American diet with one enriched by fruits and vegetables. Notably, both diets contained 3000 mg/d of Na. At an 8-week follow-up, an 11·4 mmHg reduction in SBP and a 5·5 mmHg reduction in DBP were observed. In a subsequent clinical trial, the effects of a traditional American diet and a DASH diet on BP levels were compared using three levels of Na intake. The lower Na content (1500 mg) DASH diet exhibited an 11·9 mmHg SBP reduction when compared with a traditional American diet with a higher Na content (3300 mg)(Reference Sacks, Svetkey and Vollmer9).

The multicentre PREMIER study (Trial of Lifestyle Interventions for Blood Pressure Control) tested several 6-month follow-up dietary interventions, including the DASH, as part of an intervention using general behaviour modification to reduce BP(Reference Appel, Champagne and Harsha25). The DASH group exhibited a 14·2 mmHg reduction in SBP and a 7·4 mmHg in DBP, which were statistically significant. Similarly, Huggins et al. (Reference Huggins, Margerison and Worsley26) evaluated the effect of the DASH diet intervention in hypertensive patients in a 4-week follow-up study, and observed a 16·7 mmHg reduction in SBP and a 10·3 mmHg reduction in DBP. Modest but significant results have been reported by Hsieh et al. (Reference Hsieh, Hung and Lien27), who achieved reductions in SBP (5·9 mmHg) and DBP (3·7 mmHg) in a 6-month follow-up study using a community nutritional education programme to decrease BP. On the other hand, a study conducted by Charlton et al. (Reference Charlton, Steyn and Levitt28) showed BP reduction after the first 4 weeks that was not observed throughout the entire follow-up period (8 weeks).

Compared with randomised studies(Reference Appel, Moore and Obarzanek13, Reference Appel, Champagne and Harsha25, Reference Charlton, Steyn and Levitt28) and meta-analyses(Reference Horvath, Jeitler and Siering12, Reference Graudal, Hubeck-Graudal and Jürgens23), combining salt reduction and dietary changes in a free-living population, in which dietary changes were based only on counselling, exhibited a significant reduction in BP. This indicates that the combination of DASH-Na with a low-GI diet is an effective approach to reduce hypertension in the clinical setting.

Changes in BP were also attributed to the weight reduction observed in the present study. While weight change did not explain the overall reduction in both SBP and DPB, as indicated in the analysis adjusted for BMI at baseline and the change in BMI, it was also a positive effect of dietary intervention. Weight change could not be easily maintained in longer follow-ups(Reference Sacks, Svetkey and Vollmer9, Reference Sichieri, Moura and Genelhu14), but the effect on BP was independent of weight change.

The results from randomised controlled trials examining the association between GI and CVD risk factors including BP and weight loss have not been consistent(Reference van Dam, Visscher and Feskens29Reference Das, Gilhooly and Golden32). The PREMIER study examined these associations, but GI changes were not associated with changes in any risk factors at 6 months(Reference Lin, Chen and Young33). A low-GI diet is easy to follow in Brazil because beans and manioc are staple foods of very low glycaemic index(Reference Sichieri, Moura and Genelhu14). The present results suggest a role for this approach combined with the DASH diet.

Recently, the Institute of Medicine Committee has recommended a level of Na intake no higher than 1500 mg/d (65 mEq/d)(34). However, accomplishing this recommendation is not easy. A reasonable recommendation is the upper limit of 2300 mg/d (100 mEq/d), which is similar to previous recommendations for the prevention and treatment of hypertension(Reference Chobanian, Bakris and Black6, Reference Whelton, He and Appel35).

In Brazil, Na intake is approximately 4500 mg/d and largely exceeds the maximum recommendation(Reference Sarno, Claro and Levy36). In the present study, EG patients achieved the minimum mean values of 106 mEq/d in urinary Na excretion after the dietary intervention, with a 43·4 mEq/d reduction that was statistically significant. Although this finding does not quite match the amount recommended by the Institute of Medicine Committee(34), it is close to other reasonable recommendations(Reference Chobanian, Bakris and Black6, Reference Whelton, He and Appel35).

A Meta-Analysis of Healthful Diet Trials, Salt Reduction Counselling(37) demonstrated a statistically significant decrease in urinary Na excretion. Another meta-analysis, conducted by Taylor et al. (Reference Taylor, Ashton and Moxham24), showed that a reduction in dietary salt intake was able to decrease urinary Na excretion by 39·1 mEq/24 h, although this result was not statistically significant.

In clinical trials, Nowson et al. (Reference Nowson, Worsley and Margerison38) and Huggins et al. (Reference Huggins, Margerison and Worsley26) observed a 43·1 and 36·1 mEq/d reduction in urinary Na excretion, respectively, after 4 weeks of the DASH diet intervention. However, the multicentre PREMIER study noted a 32·6 mEq/d reduction in urinary Na excretion of the DASH diet intervention group that did not reach statistical significance(Reference Appel, Champagne and Harsha25).

Minor reductions in urinary Na excretion were found in the original DASH study(Reference Appel, Moore and Obarzanek13), which showed a 10·1 mEq/d reduction with a diet enriched with fruits and vegetables and a 3·2 mEq/d reduction with the DASH diet. In another study, Robare et al. (Reference Robare, Milas and Bayles39) evaluated the effects of a DASH low-Na diet in 115 hypertensive patients in the USA using a 6-month follow-up study and observed a small decrease in urinary Na excretion (6 mEq/d). On the other hand, Charlton et al. (Reference Charlton, Steyn and Levitt28) noted a greater reduction in urinary Na excretion (14·6 mEq/d) over a shorter follow-up period (8 weeks) after a low-Na diet intervention in hypertensive patients in South Africa.

The present findings on the reduction in urinary Na excretion are similar to those of randomised controlled trials(Reference Hsieh, Hung and Lien27, Reference Nowson, Worsley and Margerison38) and meta-analyses(37), again supporting the feasibility of dietary intervention in reducing Na in primary health care settings by tailoring changes in the diet to the habits of the population.

The current trend in Brazilian eating habits is characterised by a reduced consumption of fruits and vegetables(40), which are good sources of K, and the dietary intervention conducted in this study promoted an increased intake of all food groups for the EG. Although we observed an increase in food intake after the intervention, there was no significant difference in K excretion in the urine at 24 h after the intervention. One potential explanation for this finding may be the tendency for certain patients to overestimate their records of consumed foods considered beneficial to their treatment.

Furthermore, although our dietary counselling focused on changes in carbohydrate composition beyond changes in the lipid content of the diet, the most important changes observed were related to a lower load of carbohydrates in the EG, followed by a reduction in the fat content of the diet.

One positive aspect of the present study was that the monitoring of patients emphasised actively promoting compliance with keeping appointments and rescheduling missed appointments based on convenience and patient availability. Another positive point involves the methodology applied: a longitudinal 24-week follow-up study; analysis of Na and K intakes conducted by a 24 h urinary excretion test; detailed 24 h food records documented on three different occasions during the intervention. This method allowed for greater knowledge of the patients' eating habits, which may be reflected in the results. On the other hand, a limitation of the present study was that the hypertensive population was mainly composed of female and elderly patients at primary health care facilities.

In conclusion, dietary intervention to reduce BP tailored according to eating habits may have a major effect on BP reduction.

Acknowledgements

The authors declare that they have no actual or potential competing interests. The present study was funded by Fundação de Amparo e Pesquisa do Estado do Maranhão and Coordenação de Aperfeiçoamento de Pessoal de Nível Superior. N. S. F. and R. S. coordinated the research. S. T. R. M. L. and A. K. T. F. coordinated the data collection and conducted the dietary counselling. S. T. R. M. L., B. d. S. N. d. S., A. K. T. F. and R. S. conducted the data analyses and were involved in the writing of the manuscript. All the authors contributed to the redrafting, reading and approving of the final manuscript.

References

1Sociedade Brasileira de Cardiologia, Sociedade Brasileira de Hipertensão, Sociedade Brasileira de Nefrologia (2010) VI Brazilian guidelines on hypertension. Arq Bras Cardiol 95, 151.Google Scholar
2Oliveira-Martins, S, Oliveira, T, Gomes, JJ, et al. (2011) Factors associated with arterial hypertension in pharmacy users in Portugal. Rev Saude Publica 45, 136144.Google Scholar
3Smith, PJ, Blumenthal, JA, Babyak, MA, et al. (2010) Effects of the dietary approaches to stop hypertension diet, exercise, and caloric restriction on neurocognition in overweight adults with high blood pressure. Hypertension 55, 13311338.Google Scholar
4Iser, BP, Claro, RM, de Moura, EC, et al. (2011) Risk and protection factors for chronic non communicable diseases by telephone survey – VIGITEL-2009. Rev Bras Epidemiol 14, 90102.CrossRefGoogle ScholarPubMed
5Brasil. Ministério da Saúde do Brasil. Secretaria de Atenção à Saúde. Departamento de Atenção Básica (2006) Hipertensão Arterial Sistêmica (Arterial Systemic Hypertension) no 65. Brasília: Ministério da Saúde.Google Scholar
6Chobanian, AV, Bakris, GL, Black, HR, et al. (2003) Seventh report of the Joint National Committee on Prevention, Detection, Evaluation, and Treatment of High Blood Pressure. Hypertension 42, 12061252.Google Scholar
7Levy-Costa, RB, Sichieri, R, Pontes Ndos, S, et al. (2005) Household food availability in Brazil: distribution and trends (1974–2003). Rev Saude Publica 39, 530540.CrossRefGoogle ScholarPubMed
8Souza, AM, Bezerra, IN, Cunha, DB, et al. (2011) Evaluation of food intake markers in the Brazilian surveillance system for chronic diseases – VIGITEL (2007–2009). Rev Bras Epidemiol 14, 4452.Google Scholar
9Sacks, FM, Svetkey, LP, Vollmer, WM, et al. (2001) Effects on blood pressure of reduced dietary sodium and the Dietary Approaches to Stop Hypertension (DASH) diet. N Engl J Med 344, 310.Google Scholar
10Gögebakan, O, Kohl, A, Osterhoff, MA, et al. (2011) Effects of weight loss and long-term weight maintenance with diets varying in protein and glycemic index on cardiovascular risk factors: the diet, obesity, and genes (DiOGenes) study: a randomized, controlled trial. Circulation 124, 28292838.Google Scholar
11Siebenhofer, A, Jeitler, K, Berghold, A, et al. (2011) Long-term effects of weight-reducing diets in hypertensive patients. Cochrane Database of Systematic Reviews issue 9, CD008274.Google Scholar
12Horvath, K, Jeitler, K, Siering, U, et al. (2008) Long-term effects of weight-reducing interventions in hypertensive patients: systematic review and meta-analysis. Arch Intern Med 168, 571580.Google Scholar
13Appel, 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 17, 111711124.CrossRefGoogle Scholar
14Sichieri, R, Moura, AS, Genelhu, V, et al. (2007) An 18-mo randomized trial of a low-glycemic-index diet and weight change in Brazilian women. Am J Clin Nutr 86, 707713.Google Scholar
15Foster-Powell, K, Holt, SHA & Brand-Miller, JC (2002) International table of glycemic index and glycemic load values. Am J Clin Nutr 76, 5556.CrossRefGoogle ScholarPubMed
16Matsudo, S, Araújo, T, Marsudo, V, et al. (2001) Questionário Internacional de Atividade Física (IPAQ): estudo de validade e reprodutibilidade no Brasil (International Physical Activity Questionnaire (IPAQ): validity study and reproducibility in Brazil). Rev Bras Ativ Fis Saúde 6, 518.Google Scholar
17World Health Organization (1995) Physical Status: The Use and Interpretation of Anthropometry. Report of a WHO Expert Committee. WHO Technical Report Series no. 854. Geneva: WHO.Google Scholar
18Instituto Brasileiro de Geografia e Estatística (2011) Pesquisa de Orçamentos Familiares, 2008–2009. Análise do Consumo Alimentar Pessoal no Brasil (Household Budget Survey, 2008–2009. Analysis of Personal Food Consumption in Brazil). Rio de Janeiro: IBGE.Google Scholar
19Pickering, TG, Hall, JE, Appel, LJ, et al. (2005) Recommendations for blood pressure measurement in humans and experimental animals: part 1: blood pressure measurement in humans: a statement for professionals from the Subcommittee of Professional and Public Education of the American Heart Association Council on High Blood Pressure Research. Circulation 111, 697716.CrossRefGoogle Scholar
20Ferreira-Sae, MC, Gallani, MC, Nadruz, W, et al. (2009) Reliability and validity of a semi-quantitative FFQ for sodium intake in low-income and low-literacy Brazilian hypertensive subjects. Public Health Nutr 12, 21682173.Google Scholar
21Holbrook, JT, Patterson, KY, Bodner, JE, et al. (1984) Sodium and potassium intake and balance in adults consuming self-selected diets. Am J Clin Nutr 40, 786793.CrossRefGoogle ScholarPubMed
22Philippi, ST, Latterza, AR, Cruz, ATR, et al. (1999) Adapted food pyramid: a guide for a right food choice. Rev Nutr 12, 6580.Google Scholar
23Graudal, NA, Hubeck-Graudal, T & Jürgens, G (2012) Effects of low-sodium diet vs. high-sodium diet on blood pressure, renin, aldosterone, catecholamines, cholesterol, and triglyceride (Cochrane Review). Am J Hypertens 25, 115.Google Scholar
24Taylor, RS, Ashton, KE & Moxham, T (2011) Reduced dietary salt for the prevention of cardiovascular disease: a meta-analysis of randomized controlled trials (Cochrane review). Am J Hypertens 24, 843853.Google Scholar
25Appel, LJ, Champagne, CM, Harsha, DW, et al. (2003) Effects of comprehensive lifestyle modification on blood pressure control: main results of the PREMIER clinical trial. JAMA 289, 20832093.Google Scholar
26Huggins, CE, Margerison, C, Worsley, A, et al. (2011) Influence of dietary modifications on the blood pressure response to antihypertensive medication. Br J Nutr 105, 248255.Google Scholar
27Hsieh, YC, Hung, CT, Lien, LM, et al. (2009) A significant decrease in blood pressure through a family-based nutrition health education programme among community residents in Taiwan. Public Health Nutr 12, 570577.Google Scholar
28Charlton, KE, Steyn, K, Levitt, NS, et al. (2008) A food-based dietary strategy lowers blood pressure in a low socio-economic setting: a randomised study in South Africa. Public Health Nutr 11, 13971406.Google Scholar
29van Dam, RM, Visscher, AW, Feskens, EJ, et al. (2000) Dietary glycemic index in relation to metabolic risk factors and incidence of coronary heart disease: the Zutphen Elderly Study. Eur J Clin Nutr 54, 726731.Google Scholar
30Frost, GS, Brynes, AE, Bovill-Taylor, C, et al. (2004) A prospective randomized trial to determine the efficacy of a low glycaemic index diet given in addition to healthy eating and weight loss advice in patients with coronary heart disease. Eur J Clin Nutr 58, 121127.Google Scholar
31Ebbeling, CB, Leidig, MM, Sinclair, KB, et al. (2005) Effects of an ad libitum low-glycemic load diet on cardiovascular disease risk factors in obese young adults. Am J Clin Nutr 81, 976982.Google Scholar
32Das, SK, Gilhooly, CH, Golden, JK, et al. (2007) Long-term effects of 2 energy-restricted diets differing in glycemic load on dietary adherence, body composition, and metabolism in CALERIE: a 1-y randomized controlled trial. Am J Clin Nutr 85, 10231030.CrossRefGoogle ScholarPubMed
33Lin, PH, Chen, C, Young, DR, et al. (2012) Glycemic index and glycemic load are associated with some cardiovascular risk factors among the PREMIER study participants. Food Nutr Res 56, 18.Google Scholar
34Institute of Medicine of the National Academies (2004) Dietary Reference Intakes for Water, Potassium, Sodium, Chloride, and Sulfate. Washington: National Academy of Sciences.Google Scholar
35Whelton, PK, He, J, Appel, LJ, et al. (2002) Primary prevention of hypertension: clinical and public health advisory from The National High Blood Pressure Education Program. JAMA 288, 18821888.Google Scholar
36Sarno, F, Claro, RM, Levy, RB, et al. (2009) Estimated sodium intake by the Brazilian population, 2002–2003. Rev Saude Publica 43, 219225.Google Scholar
37Lin JS, O'Connor E, Whitlock EP, et al. (2010) Behavioral counseling to promote physical activity and a healthful diet to prevent cardiovascular disease in adults: update of the evidence for the U.S. Preventive Services Task Force. http://www.ncbi.nlm.nih.gov/books/NBK51030/ (accessed 11 May 2012).Google Scholar
38Nowson, CA, Worsley, A, Margerison, C, et al. (2004) Blood pressure response to dietary modifications in free-living individuals. J Nutr 134, 23222329.Google Scholar
39Robare, JF, Milas, NC, Bayles, CM, et al. (2010) The key to life nutrition program: results from a community-based dietary sodium reduction trial. Public Health Nutr 13, 606614.Google Scholar
40Brasil. Ministério da Saúde. Secretaria de Atsenção à Saúde. Coordenação-Geral da Política de Alimentação e Nutrição (2006) Guia alimentar para a população brasileira: promovendo a alimentação saudável (Food Guide for the Brazilian Population: Promoting Healthy Eating). Brasília: Ministério da Saúde.Google Scholar
Figure 0

Fig. 1 Progress of the participants during the study.

Figure 1

Fig. 2 Food groups included in the basic menu.

Figure 2

Table 1 Baseline characteristics of the participants according to intervention

Figure 3

Fig. 3 (a) Systolic blood pressure and (b) diastolic blood pressure according to intervention. Values are means, with their standard errors represented by vertical bars. Mean values were significantly different for the experimental (n 105, ) and control (n 101, ) groups (P< 0·05).

Figure 4

Table 2 Blood pressure and weight changes during the follow-up according to intervention*

Figure 5

Table 3 Urinary sodium and potassium excretion of the participants according to intervention (Mean values and 95 % confidence intervals)

Figure 6

Table 4 Frequency of reported consumption in 3 d – records by food groups

Figure 7

Table 5 Energy and macronutrient intake, fibre and glycaemic index (GI, glucose reference) and glycaemic load (GL) of the diet at baseline and follow-up comparing the experimental and control groups