Abstract
Background
Self-care management of a low-sodium diet is a critical component of comprehensive heart failure (HF) treatment.
Aims
The primary purpose of this study was to examine the effectiveness of an educational intervention on reducing the dietary sodium intake of patients with HF. Secondary purposes were to examine the effects of the intervention on attitudes, subjective norm, and perceived behavioural control towards following a low-sodium diet.
Methods
This was a randomized clinical trial of an educational intervention based on The Theory of Planned Behavior. Patients were randomized to either a usual care (n=25) or intervention group (n=27) with data collection at baseline, 6 weeks, and 6 months. The intervention group received low-sodium diet instructions and the usual care group received no dietary instructions. Nutrition Data Systems-Research software was used to identify the sodium content of foods on food diaries. Attitudes, subjective norm, and perceived behavioural control were measured using the Dietary Sodium Restriction Questionnaire.
Results
Analysis of covariance (between-subjects effects) revealed that dietary sodium intake did not differ between usual care and intervention groups at 6 weeks; however, dietary sodium intake was lower in the intervention group (F=7.3, df=1,29, p=0.01) at 6 months. Attitudes subscale scores were higher in the intervention group at 6 weeks (F=7.6, df=1, 38, p<0.01).
Conclusion
Carefully designed educational programmes have the potential to produce desired patient outcomes such as low-sodium diet adherence in patients with heart failure.
Keywords: Adherence, education, heart failure, low-sodium diet
Introduction
Heart failure (HF) clinical practice guidelines cite the importance of restricting dietary sodium intake to prevent fluid retention and associated symptoms in patients with HF; yet little concrete or specific information for promoting adherence is provided.1,2 Recommendations for daily dietary sodium intake for those with HF range from ≤2000–4000 mg.3–5 General advice for teaching patients about low-sodium diet adherence includes teaching about the sodium content of foods,1 avoiding extra table salt or cooking with salt,6 and providing tips for restaurant dining to limit sodium intake.7 Heart failure disease management programmes are comprehensive programmes in which the specific interventions to increase low-sodium diet adherence are part of the larger programme. These programmes often require substantial investments in multidisciplinary staff time which may not be feasible or sustainable in clinics with limited resources.7–10 Smaller, more specific interventions, such as the one used in this study, to target adherence to a low-sodium diet may be less resource intensive and more cost effective and yield considerable benefits. The purpose of this study was to examine the short-term (6 week) and long-term (6 month) impact of a theory-based educational intervention on dietary sodium intake in patients with HF. We also examined the short-term and long-term effects of the intervention on patient attitudes, subjective norm, and perceived behavioural control towards following a low-sodium diet.
The Theory of Planned Behavior (TPB) guided the intervention for this study.11–18 Behavioural intention is considered the most important determinant of healthy behaviours such as adhering to a low-sodium diet.11 According to the TPB, direct determinants of behavioural intention are attitude, subjective norm, and perceived control. Attitude is defined as the individual's beliefs about outcomes of performing a behaviour such as following a low-sodium diet (behavioural beliefs) weighted by an evaluation of the value of those outcomes.12 The intervention in this study was designed to heighten positive behavioural beliefs by explaining in simple terms the physiological aspects of HF and the significance of fluid volume excess. Subjective norm is defined as an individual's normative beliefs regarding important significant others approval or disapproval of the behaviour.12 Normative beliefs are weighted by the individual's motivation to comply with the beliefs of significant others. For example, individuals who believe that significant others think a behaviour should be performed, and who are motivated to meet the expectations of the significant others, will have a positive subjective norm towards the behaviour.12 Significant others, for the purposes of this study, were family members, friends, and healthcare providers. Perceived behavioural control, the third construct of the TPB, is defined as beliefs concerning the availability of resources and the presence of barriers to behavioural performance such as following a low-sodium diet.12 Control beliefs are weighted by the impact of each resource and impediment that facilitates or inhibits the behaviour.12 Resources and impediments to adhering to a low-sodium diet were identified as part of the educational intervention. Teaching was individualized to increase resources and reduce barriers to low-sodium diet adherence.
Methods
Design
A randomized, repeated measures (baseline, 6 weeks, and 6 months) experimental design was used. Patients randomized to the 6-week education intervention group received instruction and advice on low-sodium diet adherence from the intervention nurse during home visits and phone calls. Participants in the usual care control group were visited at three data collection time periods. The constructs of TPB – Attitudes, Subjective Norm, and Perceived Behavioral Control – were measured using the Dietary Sodium Restriction Questionnaire (DSRQ).
Sample and setting
After obtaining Institutional Review Board approvals, patients were recruited from a cardiology clinic (63.5%), community hospital (23%), and a university hospital (13.5%). Patients who met the following inclusion criteria were enrolled: (1) a confirmed diagnosis of HF due to left ventricular systolic dysfunction or with preserved systolic function; (2) New York Heart Association Class II–IV; (3) no cognitive impairments limiting the ability to complete an interview or engage in the educational intervention; (4) not living in an extended care facility; (5) 21 years of age or older; (6) hospitalization or emergency department treatment of HF 1 year prior to study entry; 7) residence ≤90 miles from the hospital or clinic; and (8) English speaking. Exclusion criteria were: (1) heart transplantation anticipated within 6 months; (2) documented cognitive disorders; (3) myocardial infarction within past 3 months; (4) a coexisting terminal illness; and (5) the presence of a major psychiatric disorder other than depression. Participants (n=52) were randomized to one of two groups, usual care or intervention, using predetermined randomization schedules designed for this study using the PLAN procedure in SAS 9.2, an analytic software program. Randomization occurred after signed informed consent was obtained and baseline data were collected.
Food diaries
Patients provided detailed 3-day food diaries at baseline, 6 weeks, and 6 months to document dietary sodium intake. Specific instructions on completing the 3-day food diaries were given to all patients. Patient instruction included return demonstrations on weighing foods on digital scales, measuring portion sizes with standardized kitchen utensils, and estimating portion sizes with the use of diagrams and models after demonstration of the skills by the intervention nurse. The food diary forms prompted patients for specific details related to preparation and types of foods eaten (e.g. brand name, diet, low fat, condiments added). The visiting intervention nurse reviewed food diaries with patients to clarify specific details and ensure accuracy upon retrieval. The contents of the 3-day food diaries were entered into a nutrition computer program, the Nutrition Data Systems-Research (NDSR; Nutrition Coordinating Center, Minneapolis, MN, USA) diet analysis software.19 The NDSR is a comprehensive dietary nutrient calculation software that has a database of over 18,000 foods including 7000 name brand products and many ethnic and regional foods, dietary supplements, and medications containing sodium. The analysis accounts for different food preparation methods providing for more than 160,000 possible food variants. The output program provides data on over 130 dietary nutrients consumed including sodium. Annual updates to the NDSR database assure nutrient data are current.19
Dietary Sodium Restriction Questionnaire
Attitudes, Subjective Norm, and Perceived Behavioral Control, the constructs of the TBP, were measured using the DSRQ.20 The DSRQ consists of statements related to resources, barriers, referents, and attitudes/beliefs towards following a low-sodium diet. The items were based on clinical expertise, extensive review of the literature, and a qualitative study.20,21 The instrument consists of a qualitative section and 23 items that comprise three subscales to measure the constructs of the TPB: Attitudes, Subjective Norm, and Perceived Behavioral Control. Scores were calculated for each of these subscales. The instrument has demonstrated adequate reliability and validity.20
The qualitative section of the questionnaire asked patients to describe specific instructions they received from healthcare providers for following a low-sodium diet. Patients were also asked how and why they follow a low-sodium diet if they reported adherence.
Attitudes subscale
This 7-item subscale measured the patient's attitude towards following a low-sodium diet. Patients were instructed to indicate how much they agree or disagree with statements such as ‘It is important for me to follow my low-salt diet’ and ‘Eating a low-salt diet will keep fluid from building up in my body’. Agreement was rated on a Likert-type scale from 1 (‘strongly disagree’) to 5 (‘strongly agree’). Higher scores indicate better attitude towards following a low-sodium diet. Internal consistency was high with Cronbach's alpha of 0.86 in this study.
Subjective Norm subscale
This 4-item subscale measured the patient's motivation to comply with the beliefs of significant others. Patients were instructed to rate how much they agree or disagree with the statements such as ‘My doctor thinks I should follow a low-sodium diet’ and ‘My spouse or other family members think I should follow a low-salt diet’. Agreement was rated on the same Likert-type scale. Higher scores indicate greater motivation to comply with the beliefs of significant others. Cronbach's alpha was 0.71 for this subscale.
Perceived Behavioral Control subscale
This subscale was used to measure perceived control. The 12-item subscale measured barriers and facilitators to following a low-sodium diet. Patients were instructed to rate how much items such as ‘the cost of low-salt food’ and ‘the taste of low-salt foods’ kept them from following a low-sodium diet. A Likert-type scale was used to score each item with higher scores indicating less perceived control for following a low-sodium diet. Cronbach's alpha was 0.64 for this subscale.
Intervention
The intervention consisted of six weekly sessions by home visit or phone call during the first 6 weeks of the study to provide instruction on behaviours to promote low-sodium diet adherence. Patients received instructions on the relationship between high dietary sodium intake and symptoms of fluid volume excess, identifying high- and low-sodium foods, strategies for reducing dietary sodium intake, and tips for choosing low-sodium food items while dining away from home. A detailed description of the intervention is available elsewhere.22 The timeline, teaching activities, and theoretical outcomes for the intervention are described in Table 1.
Table 1.
Week | Intervention protocol | Actions/outcomes |
---|---|---|
1 | Baseline questionnaires during home visit | Collect data to address the three constructs of the TPB: Perceived Behavioral Control, Subjective Norms, and Attitudes |
Identify significant others and include in intervention | Provide teaching related to perceived behavioural control (knowledge, barriers) | |
Create positive subjective norm | ||
2 | Individualized teaching | Develop positive attitude towards behaviour |
Pathophysiology of heart failure | Create positively valued outcomes resulting from performance of the desired behaviour | |
Negative consequences volume overload | ||
Clear linkage between high-sodium foods and volume overload | ||
Positive outcomes of low-sodium diet | ||
3 | Follow-up phone call | Facilitate behavioural change |
Reinforce previously taught content | ||
Answer questions | ||
Provide encouragement and applaud efforts | ||
4 | Further individualized teaching in participant's home | Increase perceived behavioural control |
Teach high- and low-sodium foods, reading food labels, salt substitutes/seasoning, menu development, fast-food choices | Increase knowledge and skills in order to decrease barriers and increase sense of ability | |
Impact control beliefs: increase presence of resources and decrease presence of impediments | ||
Increase perceived power by impacting number of resources to facilitate behavioural change | ||
5 | Follow-up phone call | Facilitate behavioural change |
Reinforce previously taught content | ||
Answer questions | ||
Provide encouragement and applaud efforts | ||
6 | Repeat baseline questionnaires | Facilitate behavioural change |
Answer questions | ||
Provide encouragement and applaud efforts | ||
24 | Repeat baseline questionnaires | Facilitate behavioural change |
Answer questions | ||
Provide encouragement and applaud efforts |
Statistical analyses
Analyses were conducted using SPSS Statistics 17.0 software. Frequency distributions, means and standard deviations, independent t- and Chi-squared tests were used to describe participant characteristics depending on level of measurement. Relationships between key variables and dietary sodium intake at 6 months were explored with Pearson's correlation coefficient. Between-group pre- and post-intervention scores of the usual care and intervention groups were compared with a one-way analysis of covariance (ANCOVA) for averaged daily dietary sodium intake and scores on the Attitudes, Subjective Norm, and Perceived Behavioral Control subscales at 6 weeks and 6 months using baseline scores as a covariate. Independent-samples t-tests were used to examine group differences in the means for items on the Attitudes, Subjective Norm, and Perceived Behavioral Control subscales at baseline, 6 weeks, and 6 months.
Results
Characteristics of the 52 patients compared by group are presented in Table 2. The sample was nearly equally divided by gender (53.8% male) but was primarily Caucasian (75%). The only difference between groups was age. The intervention group was on average 6 years younger than the usual care group with a mean age of 59.2±8.3 years (t(51)=2.2, p<0.05). More than half of the patients had greater than a high school education. The majority of participants were retired with about one-third on sick leave or disability. Ischaemia was the primary aetiology of HF. Male gender correlated with higher sodium intake at 6 months. Correlations between key variables and dietary sodium intake at 6 months are presented in Table 3.
Table 2.
Characteristics | Usual care (n=25) | Intervention (n=27) | p-value |
---|---|---|---|
Sex | |||
Women | 12 (48) | 12 (44) | 0.797 |
Men | 13 (52) | 15 (56) | |
Age (years) | 65.5±11.8 | 59.2±8.3 | 0.033 |
Marital status | |||
Married/cohabitate | 11 (44) | 12 (44) | 0.974 |
Single/divorce/widow | 14 (56) | 15 (56) | |
Education level | |||
Did not complete high school | 4 (17) | 9 (33) | 0.271 |
Completed high school | 7 (29) | 4 (15) | |
At least some college or technical school | 13 (54) | 14 (52) | |
Ethnicity | |||
African American | 3 (12) | 7 (25.9) | 0.430 |
Caucasian | 21 (84) | 18 (66.7) | |
American Indian or Alaskan Native | 0 | 1 (3.7) | |
Mixed | 1 (4) | 1 (3.7) | |
Income perception | |||
More than enough income to make ends meet | 10 (40) | 10 (37) | 0.482 |
Enough income to make ends meet | 11 (44) | 9 (33) | |
Do not have income to make ends meet | 4 (16) | 8 (30) | |
NYHA class | |||
Class II | 14 (56) | 11 (41) | 0.271 |
Class III or IV | 11 (44) | 16 (59) | |
Employment status | |||
Employed full-time outside home | 2 (8) | 5 (19) | 0.121 |
Sick leave/disability/retired due to HF | 16 (64) | 16 (59) | |
Retired | 7 (28) | 3 (11) | |
Other | 0 | 3 (11) | |
Heart failure aetiology | |||
Ischaemic | 15 (60) | 13 (48) | 0.392 |
Non-ischaemic | 10 (40) | 14 (52) | |
LVEF% | 41.6±19.3 | 37.8±20.6 | 0.499 |
Dietary sodium intake | 3070±1352 | 2880±1489 | 0.645 |
Attitudes subscale | 30.5±4.3 | 30.7±4.5 | 0.821 |
Subjective Norm subscale | 16.7±2.3 | 17.5±2.2 | 0.239 |
Perceived Behavioral Control subscale | 21.5±5.9 | 25.1±7.3 | 0.060 |
Values are n (%) or mean±SD. LVEF, left ventricular ejection fraction; NYHA, New York Heart Association.
Table 3.
Variable | r | p-value |
---|---|---|
Age | –0.187 | 0.305 |
Gender | –0.351 | 0.049 |
Group | –0.457 | 0.009 |
Dietary sodium intake – baseline | 0.397 | 0.024 |
Dietary sodium intake – 6 weeks | 0.317 | 0.077 |
Attitudes – baseline | 0.025 | 0.893 |
Attitudes –6 weeks | –0.407 | 0.023 |
Attitudes – 6 months | –0.069 | 0.709 |
SN – baseline | –0.355 | 0.050 |
SN – 6 weeks | –0.559 | 0.001 |
SN – 6 months | –0.390 | 0.027 |
PBC – baseline | –0.044 | 0.823 |
PBC – 6 weeks | 0.384 | 0.040 |
PBC – 6 months | 0.218 | 0.264 |
Gender, 0=male, 1= female. Group, 0=usual care, 1=intervention.
PBC, Perceived Behavioral Control subscale; SN, Subjective Norm subscale
The qualitative portion of the DSRQ asked participants to describe specific instructions they received from their healthcare providers for following a low-sodium diet. Over 80% of patients were advised to follow a low-salt diet with 31% indicating that they ‘always’ followed the prescribed diet. The most common instruction was ‘cut back or watch salt or sodium in diet’ (n=36). Only six participants reported receiving written information about limiting sodium intake and as few as five participants reported receiving a specific daily sodium intake recommendation.
Dietary sodium intake
Daily sodium intake was not significantly different between groups at baseline (t(47)=0.46, p=0.64; Table 2). Dietary sodium intake was not significantly different between groups at 6 weeks; however, dietary sodium intake was significantly lower (F=7.3, df=1,29 ,p=0.01) in the intervention group at the 6 month study endpoint while controlling for baseline sodium intake (Table 4). The effect size of intervention group assignment at 6 months was small (0.20).
Table 4.
Variable | Usual care (n=25) | Intervention (n=27) | p-value |
---|---|---|---|
Dietary sodium intake | |||
6 weeks | 3011.1±1194.8 (n=20) | 2327.8±1435.4 (n=20) | 0.224 |
6 months | 3164±885.9 (n=17) | 2262±925.4 (n=15) | 0.011 |
Attitudes subscale | |||
6 weeks | 31.7±3.2 (n=20 | 33.8±1.8 (n=21) | 0.009 |
6 months | 31.5±3.8 (n=20) | 33±3.6 (n=20) | 0.258 |
Subjective Norm subscale | |||
6 weeks | 17.9±1.9 (n=20) | 18.2±2.0 (n=21) | 0.964 |
6 months | 17.5±2.4 (n=20) | 18.2±2.5 (n=20) | 0.511 |
Perceived Behavioral Control subscalea | |||
6 weeks | 21.4±4.6 (n=17) | 19.3±4.7 (n=17) | 0.162 |
6 months | 18.9±5.9 (n=18) | 17.5±5.9 (n=15) | 0.304 |
Values are mean±SD.
Lower scores indicate more perceived behavioural control.
Attitudes
Total Attitudes subscale scores were significantly higher in the intervention group at 6 weeks (F=7.6, df=1,38, p<0.01). There were no significant differences in total Attitudes subscale scores between the usual care and intervention groups at baseline (Table 2) or at the 6 month study endpoint (Table 4). Attitudes subscale scores at 6 weeks were negatively correlated with sodium intake at 6 months (Table 3). Item mean scores for ‘eating a low-salt diet will keep fluid from building up in my body’, ‘eating a low-salt diet will keep my swelling down’, and ‘salty food is not good for me’ were significantly higher in the intervention group at 6 weeks (Table 5). Item mean scores for ‘eating a low-salt diet will help me breathe easier’ were higher in the intervention group at 6 weeks and 6 months.
Table 5.
Item | Usual care |
Intervention |
||||
---|---|---|---|---|---|---|
Baseline (n=24) | 6 weeks (n=21) | 6 months (n=21) | Baseline (n=27) | 6 weeks (n=21) | 6 months (n=20) | |
Attitudes | ||||||
Eating a low-salt diet will keep fluid from building up in my body | 4.6±1.0 | 4.6±0.5a | 4.6±0.6 | 4.4±0.8 | 4.9±0.3a | 4.8±0.7 |
Eating a low-salt diet will keep my swelling down | 4.4±0.8 | 4.4±0.8a | 4.6±0.6 | 4.3±0.8 | 4.9±0.3a | 4.9±0.7 |
Eating a low-salt diet will help me breathe easier | 3.9±0.9 | 4.0±0.9a | 4.1±0.9a | 4.3±1.0 | 4.8±0.4a | 4.7±0.7a |
Salty food is not good for me | 4.7±0.5 | 4.7±0.5a | 4.7±0.6 | 4.9±0.4 | 5.0±0.2a | 4.9±0.4 |
Subjective Norm | ||||||
My doctor thinks I should follow a low-salt diet | 4.4±0.8a | 4.4±0.7 | 4.4±0.7 | 4.7±0.4a | 4.6±0.8 | 4.6±1.0 |
Perceived Behavioral | ||||||
Control | ||||||
Low-salt diet difficult: cost | 1.7±1.2 | 1.1±0.5a | 1.6±1.2 | 1.4±1.0 | 2.0±1.5a | 2.0±1.3 |
Low-salt diet difficult: time to prepare | 1.2±0.6 | 1.2±0.8a | 1.3±0.9 | 1.5±1.1 | 2.0±1.4a | 1.6±1.1 |
Low-salt diet difficult: can't pick in restaurants | 2.7±1.5 (n=23) | 3.1±1.5a | 2.6±2.0 | 2.6±1.6 (n=24) | 1.9±1.1 (n=20)a | 2.4±2.0 (n=16) |
Low-salt diet difficult: restaurants don't serve | 3.1±1.6 (n=21) | 3.2±1.4a | 2.8±1.9 | 2.7±1.6 (n=23) | 2.1±1.2 (n=20)a | 2.2±2.1 (n=17) |
Low-salt diet difficult: others do not eat | 1.5±0.8a | 1.2±0.5 | 1.2±0.7 | 2.2±1.4a | 1.6±1.2 | 1.2±0.5 |
Low-salt diet difficult: no willpower | 1.6±0.9a | 1.5±0.9 | 1.6 | 2.3±1.6a | 1.3±0.6 | 1.2±0.5 |
Values are mean±SD.
p≤0.05
Subjective norm
There were no differences in total Subjective Norm subscale scores between the usual care and intervention groups at baseline (Table 2), 6 weeks, or 6 months (Table 4). The majority of participants strongly agreed that they want do what their healthcare provider thinks they should do with regards to following a low-sodium diet (53.8%). Fewer (32.7%) strongly agreed that they should follow the advice of a spouse or family member on the issue when they entered the study. Subjective Norm subscale scores at baseline, 6 weeks, and 6 months were negatively correlated with dietary sodium intake at 6 months (Table 3). Item mean scores for ‘my doctor thinks I should follow a low-salt diet’ were significantly higher in the intervention group at baseline; however, differences in the means were not noted between groups at 6 weeks or 6 months (Table 5).
Perceived behavioural control
There were no differences in total Perceived Behavioral Control subscale scores in the usual care and intervention groups at baseline (Table 2) or at 6 weeks and 6 months (Table 4). The Perceived Behavioral Control mean subscale scores for all participants at 6 weeks were positively correlated with dietary sodium intake at 6 months (Table 3). Item mean scores for ‘a low-salt diet is difficult because others around me do not eat low-salt foods’ and ‘a low-salt diet is difficult to follow because of no willpower’ were higher in the intervention group at baseline; these differences were not noted between groups at 6 weeks and 6 months (Table 5). Higher item mean scores for ‘a low-salt diet is difficult due to cost’ and ‘a low-salt diet is difficult due to time needed to prepare’ were noted in the intervention group at 6 weeks. Following a low-sodium diet was more difficult at 6 weeks for the usual care group because of the inability to select low-sodium foods in restaurants and restaurants not serving preferred low-sodium foods (Table 5).
Discussion
Dietary sodium intake
Daily dietary sodium intake decreased from baseline in the intervention group at 6 months. In contrast, the sodium intake of the usual care group increased from baseline at 6 months. The US Department of Agriculture recommends a sodium intake of 2300 mg per day.23 A sodium restriction of 1500 mg per day for all adults has also been suggested.24 The intervention group met the 2300 mg per day recommendation at the 6-month study endpoint. Dunbar et al. obtained similar results in a shorter, 3-month trial. Decreased dietary and urinary sodium levels were reported from baseline to 3 months in their study of HF patients and family members (n=61) receiving education and counselling on self-management of a low-sodium diet.25 Bentley et al.21 cited ‘lack of knowledge’ as one of three primary themes for nonadherence to a low-sodium diet in a qualitative study of 20 heart failure patients. While the intervention group decreased their sodium intake over time which could produce health benefits, additional research is needed to determine the ideal sodium intake for patients with heart failure.
While low-sodium diet instruction has been linked to low-sodium diet adherence,25 participants in this study reported minimal instructions from their healthcare providers prior to study entry. Thirty-six participants summarized instructions from their healthcare providers in simple statements such as ‘cut back on salt’ or ‘watch your salt’. A substantially lower number of participants reported receiving written instructions for monitoring or decreasing sodium intake or specific numerical goals for daily sodium intake from their providers. It is clear that improvement in the education process for ensuring low-sodium diet adherence is warranted. Specific recommendations on dietary sodium restriction should be provided by healthcare providers according to established guidelines.
Constructs of the Theory of Planned Behavior
Attitudes
Patients in the intervention group reported more positive attitudes about following a low-sodium diet compared to the usual care group at 6 weeks. While a more positive attitude towards following a low-sodium diet continued in the intervention group at 6 months, there were no group differences in subscale scores at the study endpoint. Intervention group members were more aware of the potential health benefits of following a low-sodium diet than usual care group members. At 6 weeks, intervention group members more strongly agreed that salty food was not good for them, that eating a low-sodium diet would keep fluid from building up in their bodies and keep swelling down, and that dietary adherence would help them breathe easier when their attitudes were compared to attitudes from the usual care group. The stronger beliefs about the connection between low-sodium diet adherence and ease of breathing continued in the intervention group at 6 months. Links between a more positive attitude towards following a low-sodium diet and lower dietary sodium intake were revealed among the participants in this study. Knowledge about the positive physical effects of following a low-sodium diet may influence dietary sodium intake for an extended time after instruction. Emphasizing the potential physical benefits of following a low-sodium diet is recommended when providing dietary instruction.
Subjective norm
More than half of the patients in the study strongly agreed that they should follow their healthcare providers’ advice for adhering to a low-sodium diet. Participants in the intervention group more strongly agreed that their physician believed they should follow a low-sodium diet at baseline but there were no differences between groups on this item at 6 weeks or 6 months. Participants also believed that they should follow similar advice from their spouse or significant others. Participants randomized to an education and family partnership intervention showed a greater decrease in urinary sodium levels at 3 months when compared to the education only cohort.25 Better self-reported adherence to a low-sodium diet was documented with the Eating Behavior Questionnaire (EBQ) in a sample of 74 Veterans Hospital heart failure patients when the patients received emotional support from significant others.26 These findings suggest that support and encouragement for following a low-sodium diet from healthcare providers as well as significant others can positively influence a patient's decision to follow low-sodium diet instructions.
Perceived behavioural control
Total subscale scores for Perceived Behavioural Control appeared to indicate more behavioural control in the intervention group compared to the usual care group at 6 weeks and 6 months; however, there were no significant differences in group means on this scale. Intervention group members reported more difficulty following a low-sodium diet than the usual care group at 6 weeks because of the high cost of food and preparation time needed for a low-sodium menu. One plausible explanation for this difference is that patients in the usual care group may not have purchased or prepared low-sodium foods to the same extent as patients in the intervention group; therefore, cost and preparation burdens were less problematic for this group. Usual care group members reported more difficulty selecting low-sodium foods in restaurants and finding restaurants that serve low-sodium foods at 6 weeks than the intervention group. The intervention included instruction on how to select low-sodium foods in restaurants which corroborates this difference in the groups. Participants in the intervention group were more likely to experience difficulty following a low-sodium diet because significant others were not eating a low-sodium diet at baseline; however the groups were not different on this item at 6 weeks and 6 months. Usual care participants reported more willpower at baseline than the intervention group but these differences did not carry through to 6 weeks and 6 months. Willpower improved over time in the intervention group and remained consistent in the usual care group. Learning how to manage a low-sodium diet may be motivating and improve willpower in some patients with HF.27 Heart failure patients need to understand how to operationalize the instructions provided by their healthcare providers. Providing information about ways to reduce the cost and food preparation effort for low-sodium foods can decrease barriers to low-sodium diet adherence. Including practical advice on how to select accommodating restaurants and low-sodium foods from a menu during dietary instruction can make dietary adherence more manageable for patients with HF.
Limitations
A small sample size poses some limits on statistical analyses. The sample size for data analysis was reduced by participant attrition and item omissions on the DSRQ. Twelve participants did not complete the study protocol due to an increase in the severity of illness or death (n=6), cognitive impairments or inability to follow instructions (n=3), and loss to follow up (n=3). Self-report of dietary intake is subject to bias when social desirability of responses is high.28 Participants may inaccurately document food intake to meet a social norm; however, this would be equally true for usual care and intervention groups. The intervention nurse for this study reviewed the contents of the 3-day food diaries with the participants after diaries were completed to ensure accuracy. A neutral, information gathering communication style was used to instruct patients on the use of food diaries and during the reconciliation procedure. The sodium content of foods was not discussed with patients in the usual care group during the data collection procedures. The cost of intervention was not determined. It would be enlightening to compare the cost of a home-based educational intervention to promote low-sodium diet adherence to the cost of preventable hospitalizations that are attributed to high sodium intake and fluid retention.
Conclusions
The educational intervention in this study was effective in reducing dietary sodium intake in patients with HF at the 6 month study endpoint. Attitudes towards following a low-sodium diet was also improved at 6 weeks in the intervention group. Individualized instruction in the home with well-organized, specific teaching strategies can produce dietary changes such as low-sodium diet adherence among patients with newly diagnosed or long-standing HF.
Acknowledgments
Funding
This project was supported by a Center grant (1P20NR010679) from the National Institute of Nursing Research (NINR), National Institutes of Health (NIH).
This content is solely the responsibility of the authors and does not necessarily represent the official views of the NINR or the NIH.
References
- 1.Dickstein K, Cohen-Solal A, Filippatos G, et al. ESC Guidelines for the diagnosis and treatment of acute and chronic heart failure 2008: the Task Force for the Diagnosis and Treatment of Acute and Chronic Heart Failure 2008 of the European Society of Cardiology. Eur Heart J 2008. 29(19):2388–2442. doi: 10.1093/eurheartj/ehn309. [DOI] [PubMed] [Google Scholar]
- 2.Jessup M, Abraham WT, Casey DE, et al. 2009 focused update: ACCF/AHA Guidelines for the Diagnosis and Management of Heart Failure in Adults. Circulation 2009. 119(14):1977–2016. doi: 10.1161/CIRCULATIONAHA.109.192064. [DOI] [PubMed] [Google Scholar]
- 3.Riegel B, Moser DK, Anker SD, et al. Promoting self-care in persons with heart failure: a scientific statement from the American Heart Association. Circulation. 2009;120(12):1141–1163. doi: 10.1161/CIRCULATIONAHA.109.192628. [DOI] [PubMed] [Google Scholar]
- 4.Agency for Healthcare Research and Quality . ADA heart failure evidence-based nutrition practice guideline. Agency for Healthcare Research and Quality; Rockville: 2008. Available at: http://www.guideline.gov/content.aspx [2008, consulted February 2011] [Google Scholar]
- 5.Lennie TA. Nutrition self-care in heart failure: state of the science. J Cardiovasc Nurs. 2008;21(3):197–204. doi: 10.1097/01.JCN.0000317426.14092.60. [DOI] [PubMed] [Google Scholar]
- 6.Butler J. The management of heart failure. Practice nursing. 2010;21(6):290–296. [Google Scholar]
- 7.Hunt SA, Baker DW, Chin MH, et al. ACC/AHA guidelines for the evaluation and management of chronic heart failure in the adult: executive summary: a report of the American College of Cardiology/American Heart Association task force on practice guidelines. J Am Coll Cardiol. 2001;38(7):2101–2113. doi: 10.1016/s0735-1097(01)01683-7. [DOI] [PubMed] [Google Scholar]
- 8.Fonarow LW, Stevenson JA, Walden NA, et al. Impact of a comprehensive heart failure management program on hospital readmission and functional status of patients with advanced heart failure. J Am Coll Cardiol. 1997;30(3):725–772. doi: 10.1016/s0735-1097(97)00208-8. [DOI] [PubMed] [Google Scholar]
- 9.Rich MW, Beckham V, Wittenberg C, et al. A multidisciplinary intervention to prevent the readmission of elderly patients with congestive heart failure. New Eng J Med. 1995;333(18):1190–1195. doi: 10.1056/NEJM199511023331806. [DOI] [PubMed] [Google Scholar]
- 10.Naylor M, Brooten D, Jones R, et al. Comprehensive discharge planning for the hospitalized elderly. Ann Inter Med. 1994;120(12):999–1006. doi: 10.7326/0003-4819-120-12-199406150-00005. [DOI] [PubMed] [Google Scholar]
- 11.Ajzen I, Fishbein M. Understanding attitudes and predicting social behavior. Prentice Hall; Englewood, NJ: 1980. [Google Scholar]
- 12.Montano DE, Kasprzyk D, Taplin S. The Theory of Reasoned Action and the Theory of Planned Behavior. Jossey-Bass; San Francisco, CA: 1997. [Google Scholar]
- 13.Masalu JR, Astrom AN. The use of the Theory of Planned Behavior to explore beliefs about sugar restriction. Am J Health Behav. 2003;27(1):15–24. [PubMed] [Google Scholar]
- 14.Lien N, Lytle AL, Komro KA. Applying Theory of Planned Behavior to fruit and vegetable consumption of young adolescents. Am J Health Promot. 2002;16(4):189–197. doi: 10.4278/0890-1171-16.4.189. [DOI] [PubMed] [Google Scholar]
- 15.Conner M, Norman P, Bell R. The Theory of Planned Behavior and healthy eating. Health Psych. 2002;21(2):194–201. [PubMed] [Google Scholar]
- 16.Furnham A, Lovett J. Predicting the use of complementary medicine: a test of the Theories of Reasoned Action and Planned Behavior. J Applied Soc Psych. 2001;31(12):2588–2620. [Google Scholar]
- 17.Godin G, Kok G. The Theory of Planned Behavior: a review of its applications to health-related behaviors. Am J Health Promot. 1996;11(2):87–98. doi: 10.4278/0890-1171-11.2.87. [DOI] [PubMed] [Google Scholar]
- 18.Dunbar-Jacob J, Mortimer-Stephens MK. Treatment adherence in chronic disease. J Clin Epidemiol. 2001;54(12):S57–S60. doi: 10.1016/s0895-4356(01)00457-7. [DOI] [PubMed] [Google Scholar]
- 19.Nutrition Data System for Research [6 March 2012];2012 http://www.ncc.umn.edu/products/ndsr.html.
- 20.Bentley B, Lennie TA, Biddle M, et al. Demonstration of psychometric soundness of the Dietary Sodium Restriction Questionnaire in patients with heart failure. Heart & Lung. 2009;38(2):121–128. doi: 10.1016/j.hrtlng.2008.05.006. [DOI] [PubMed] [Google Scholar]
- 21.Bentley B, DeJong M, Moser DK, et al. Factors related to nonadherence to low sodium diet recommendations in heart failure patients. Eur J Cardiovasc Nurs. 2005;4(4):331–336. doi: 10.1016/j.ejcnurse.2005.04.009. [DOI] [PubMed] [Google Scholar]
- 22.Welsh D, Marcinek R, Abshire D, et al. Theory-based low-sodium diet education for heart failure patients. Home Healthc Nurse. 2010;28(7):432–443. doi: 10.1097/NHH.0b013e3181e324e0. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23.US Department of Agriculture . Dietary guidelines for Americans 2005. US Department of Agriculture; Rockville: http://www.healthierus.gov/dietaryguidelines [2005, consulted January 2011] [Google Scholar]
- 24.Appel LJ, Frohlich ED, Hall JE, et al. The importance of population-wide sodium reduction as a means to prevent cardiovascular disease and stroke: a call to action from the American Heart Association. Circulation. 2011;123(10):1138–1143. doi: 10.1161/CIR.0b013e31820d0793. [DOI] [PubMed] [Google Scholar]
- 25.Dunbar SB, Clark PC, Deaton C, et al. Family education and support interventions in heart failure: a pilot study. Nurs Res. 2005;54(3):158–166. doi: 10.1097/00006199-200505000-00003. [DOI] [PubMed] [Google Scholar]
- 26.Sayers SL, Riegel B, Pawlowski S, et al. Social support and self-care of patients with heart failure. Ann Behav Med. 2008;35(1):70–79. doi: 10.1007/s12160-007-9003-x. [DOI] [PubMed] [Google Scholar]
- 27.Bentley B. A review of methods to measure dietary sodium intake. J Cardiovasc Nurs. 2006;21(1):63–67. doi: 10.1097/00005082-200601000-00012. [DOI] [PubMed] [Google Scholar]
- 28.Bandura A. Self-efficacy: the exercise of control. W.H. Freeman and Company; New York, NY: 1997. [Google Scholar]