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. 2021 Aug 1;13(8):2681. doi: 10.3390/nu13082681

Sodium and Potassium Content of Foods Consumed in an Italian Population and the Impact of Adherence to a Mediterranean Diet on Their Intake

Marcella Malavolti 1, Androniki Naska 2, Susan J Fairweather-Tait 3, Carlotta Malagoli 1, Luciano Vescovi 1, Cristina Marchesi 4, Marco Vinceti 1,5,*, Tommaso Filippini 1
Editors: Tyler Barker, Maria D Mesa
PMCID: PMC8401684  PMID: 34444841

Abstract

High sodium and low potassium intakes are associated with increased levels of blood pressure and risk of cardiovascular diseases. Assessment of habitual dietary habits are helpful to evaluate their intake and adherence to healthy dietary recommendations. In this study, we determined sodium and potassium food-specific content and intake in a Northern Italy community, focusing on the role and contribution of adherence to Mediterranean diet patterns. We collected a total of 908 food samples and measured sodium and potassium content using inductively coupled plasma mass spectrometry. Using a validated semi-quantitative food frequency questionnaire, we assessed habitual dietary intake of 719 adult individuals of the Emilia-Romagna region. We then estimated sodium and potassium daily intake for each food based on their relative contribution to the overall diet, and their link to Mediterranean diet patterns. The estimated mean sodium intake was 2.15 g/day, while potassium mean intake was 3.37 g/day. The foods contributing most to sodium intake were cereals (33.2%), meat products (24.5%, especially processed meat), and dairy products (13.6%), and for potassium they were meat (17.1%, especially red and white meat), fresh fruits (15.7%), and vegetables (15.1%). Adherence to a Mediterranean diet had little influence on sodium intake, whereas potassium intake was greatly increased in subjects with higher scores, resulting in a lower sodium/potassium ratio. Although we may have underestimated dietary sodium intake by not including discretionary salt use and there may be some degree of exposure misclassification as a result of changes in food sodium content and dietary habits over time, our study provides an overview of the contribution of a wide range of foods to the sodium and potassium intake in a Northern Italy community and of the impact of a Mediterranean diet on intake. The mean sodium intake was above the dietary recommendations for adults of 1.5–2 g/day, whilst potassium intake was only slightly lower than the recommended 3.5 g/day. Our findings suggest that higher adherence to Mediterranean diet patterns has limited effect on restricting sodium intake, but may facilitate a higher potassium intake, thereby aiding the achievement of healthy dietary recommendations.

Keywords: dietary intake, Mediterranean diet, potassium, public health, salt, sodium, sodium-to-potassium ratio

1. Introduction

Non-communicable diseases (NCDs) are the leading causes of death worldwide [1]. In particular, cardiovascular diseases (CVD) still represent the leading cause of death and disability [2], being responsible for more than 35% of all deaths in Italy [3]. Although effective preventive measures can be implemented; i.e., by controlling behavioral and metabolic factors, nutritional determinants represent the most significant risk factors, preceded exclusively by blood pressure [4,5,6,7].

The effect of dietary intakes of sodium and potassium on the regulation of blood pressure levels has been widely investigated [8]. Sodium and potassium have a fundamental role in the distribution of fluids inside and outside cells, and in osmolarity regulation. Differences in sodium and potassium concentrations are maintained by the specific permeability of cell membranes and by activity of transmembrane transporters such as Na/K-ATPase. In particular, potassium is an essential mineral that plays a primary role in several physiological mechanisms including transmission of electrical activity in muscle cells and nerve fibers [1,9]. In humans, an increase in potassium intake has been linked to decreasing blood pressure levels and stroke incidence, with an indication of a possible U-shape relationship with minimum risk at 3.5 g/day (i.e., 90 mmol/day) of potassium excretion [10,11]. Conversely, a decrease in sodium intake showed an approximately linear association with blood pressure levels [12], cardiovascular diseases [13], and stroke [14], with beneficial effects of sodium reduction in both subjects with and without hypertension [12,15,16].

In addition to CVD, blood pressure lowering has also been associated with a reduced risk of mild cognitive impairment [17]. There is growing evidence that a high salt intake is detrimental for cognition [18,19], thus a reduction in sodium together with an increase in potassium intake, plus other dietary interventions, may be helpful for dementia prevention [19,20,21]. For these reasons, the World Health Organization (WHO) has approved an action plan for reducing the costs of public health, one of which is to lower salt consumption by the population [22].

In Italy, few studies have estimated dietary sodium and potassium intakes at the population level. Findings from the Italian Total Diet Study 2001–2002 using a 7 day diary recall reported an average intake of 3.8 and 2.9 g/day for sodium and potassium, respectively [23]. More recently, a lower sodium intake has been reported, namely 2.3 and 1.9 g/day for men and women, respectively [24]. Nonetheless, these values are still higher than the recommended dietary intake (DRI) of 1.5 and 2.0 g/day, respectively, suggested by the Italian Society of Human Nutrition (SINU) [25] and the safe and adequate intake of 2.0 g/day for adults suggested by the European Food Safety Authority (EFSA) [26]. As regards potassium, a slight increase in its intake was seen in the past years, from 3.2 g/day and 2.8 g/day in men and women, respectively, during the Third Italian National Consumption Survey in 2005–2006 using a 3-day semi-structured diary [27], to 3.3 g/day and 3.0 g/day in men and women, respectively, during the Cardiovascular Epidemiology Observatory/Health Examination Survey (CUORE) in 2008–2012 using 24 h urine collection carried out by the Italian National Institute of Health [24]. However, the latest 2018–2019 data from the CUORE project conducted by the Italian National Institute of Health highlighted that the potassium intake of the Italian general adult population has fallen to 3.043 g/day for men and 2.561 g/day for women [28]. This highlights the importance of increasing potassium intake in order to meet the adequate intakes of 3.5 g/day or 3.9 g/day suggested by the EFSA and SINU, respectively [9,25].

The primary aim of the present study was to assess dietary intakes of sodium and potassium in a sample population from the Emilia-Romagna region in Northern Italy, and to evaluate how such intakes may be influenced by adherence to dietary patterns widely known to be beneficial to human health, namely those related to the Mediterranean diet.

2. Materials and Methods

2.1. Food Collection and Analysis

We measured the sodium and potassium content in food samples collected from markets and stores in Northern Italy, as previously described [29,30]. Briefly, we identified foods most frequently consumed in a typical Italian diet [31,32]. We selected relevant food items characterizing the Italian diet [33], with particular reference to the Emilia-Romagna Region using previous population-based studies addressing the dietary habits of subjects of this Northern Italy community [34,35].

We purchased selected food and beverages in two provinces of the Emilia-Romagna region, namely Modena and Reggio Emilia in the period of October 2016–February 2017. During sample handling, we tried to avoid metal cross-contamination using plastic food containers and plastic and stainless cutlery. We also used a food blender equipped with a stainless-steel blade. After homogenisation, we aliquoted 0.5 g portion (wet weight) into quartz containers previously washed with MilliQ water (MilliQPlus, Millipore, MA, USA) and HNO3. Sample digestion was performed using 10 mL solution (5 mL HNO3 + 5 mL H2O) in a microwave system (Discover SP-D, CEM Corporation, NC, USA). Digested material was stored in plastic tubes and diluted to 50 mL with deionised water before analysis. We measured the sodium and potassium concentration using an inductively coupled plasma-mass spectrometer (Agilent 7500ce, Agilent Technologies, Santa Clara, CA, USA). All analyses were performed in duplicate, implementing standard quality controls as previously described [36,37]. A total of 908 food study samples were analyzed. Limits of quantification were 0.02 and 0.10 mg/kg for sodium and potassium, respectively, with corresponding limits of detection (LOD) of 0.01 and 0.05 mg/kg. Values for 35 and 9 samples for sodium and potassium, respectively, were below the LOD and were set equal to LOD/2 [38].

2.2. Study Population and Assessment of Dietary Habits

We assessed habitual dietary intakes of a Northern Italy community in the period 2005–2006. We identified a large population sample from the databases of the Emilia-Romagna Region–National Health Service directories of five provinces (Bologna, Ferrara, Modena, Parma and Reggio Emilia). Inclusion criteria were age > 18 years, and residence in one of the studied provinces. From the random sample of 2825 eligible subjects invited to participate, a total of 747 subjects accepted (response rate of 26.4%), and were therefore recruited. The study was authorized by the Modena Ethics Committee (approval no. 71.11/2011). All participants provided written informed consent and returned study material for collection of individual characteristics.

To estimate dietary habits, we administrated the food frequency questionnaires (FFQ) implemented within the ‘European Prospective Investigation into Cancer and Nutrition’ project. The EPIC-FFQ is a validated semi-quantitative FFQ, and we used the version specifically developed for the population of Northern Italy [39]. Frequency and amount of consumption of 188 food items were estimated over the previous year. Accurate completion by participants was ensured through photos of foods and serving sizes. For quality data control, we excluded incomplete FFQs or those reporting extreme and implausible values of energy intake; i.e., <0.5th or >99.5th percentile, based on the ratio of total energy intake to calculated basal metabolic rate, which excluded 28 subjects [40]. The final study sample was 719 adult participants, including 319 men and 400 women, none of whom reported ‘special’ dietary requirements or habits such as weight control or vegetarian/vegan diet during the survey. We eventually estimated daily dietary intake (mg/day) as previously reported by multiplying the quantity of sodium and potassium in foods (mg/kg food as consumed) with the corresponding food intake determined from the FFQ (in g/day) [41] and we calculated the sodium-to-potassium (Na/K) ratio. For daily dietary intakes, we also performed stratified analysis by sex and by adherence to the Italian Mediterranean Index (IMI) [42], and to the Mediterranean–DASH Intervention for Neurodegenerative Delay (MIND) pattern, which combines the Dietary Approach to Stop Hypertension (DASH) and the Mediterranean diet, with the aim of reducing the risk of dementia [43,44]. We used frequency and quantity of food and beverage intake as assessed through the EPIC-FFQ to evaluate the adherence to the investigated dietary patterns. In particular, we implemented specifically developed routines for the scoring system of both the IMI and MIND diets.

The Italian Mediterranean Index (IMI) was developed by the Epidemiology and Prevention Unit of the Milan National Cancer Institute [45] by adapting the Greek Mediterranean Index to typical Italian eating behavior. The score is based on intake of 11 items: 6 typical Mediterranean foods or food groups (pasta; typical Mediterranean vegetables such as raw tomatoes, leafy vegetables, onion and garlic, salad, and fruiting vegetables; fruit; legumes; olive oil; and fish), 4 non-Mediterranean foods (soft drinks, butter, red meat, and potatoes), and alcohol consumption. One point was given for consumption of each typical Mediterranean food in the upper tertile of the distribution, and for consumption of each non-Mediterranean food in the bottom tertile; all other dietary components received 0 points. Alcohol received 1 point for intake up to 12 g/day; abstainers and persons who consumed >12 g/day did not receive any points. The range of possible scores was 0–11. Similarly, the MIND pattern has 15 components, including 10 brain-healthy food groups (green leafy vegetables, other vegetables, nuts, berries, beans, whole grains, white meat (fish and poultry), olive oil instead of other oil, and wine-intake limitation), as well as a decrease in 5 unhealthy food groups, including red meats, butter and stick margarine, cheese, pastries and sweets, and fried/fast food. Scores range from 0 to 15, with higher values meaning greater adherence [46]. Additional general guidelines for the MIND diet are consuming at least three servings of whole grains, a salad and one other vegetable, and a glass of wine each day. In addition, nuts are used as a snack on most days and beans every other day. Poultry and berries are recommended at least twice a week and fish at least once a week. It is essential to limit the intake of the MIND diet’s “unhealthy food groups”, especially butter (less than 1 tablespoon a day), cheese, and fried or fast food (less than a serving a week for any of the three) [46]. For both diets, we used the mean value as cutpoint for identification of poor and high adherence.

We checked the normal distribution of variables using the Shapiro–Wilk test, and we used a t-test for independent samples to compare differences between means. We used linear regression analysis to investigate the relation between the Na/K ratio and adherence score to both IMI and MIND patterns, adjusting for age, sex, body mass index, and energy intake. We reported beta regression coefficients and values of the predicted Na/K ratio together with their 95% confidence intervals (CI). We used Stata statistical package (v17.1 Stata Corp., College Station, TX, USA, 2021) for all statistical analyses.

3. Results

Characteristics of the study participants are reported in Table 1. Out of the total 719 included participants, there were 319 men, median age 60 (interquartile range-IQR: 50–69) years and 400 women, median age 53 (IQR: 41–63) years. Nearly half of the participants had educational attainment of high school or more, and the vast majority lived with partners (married or unmarried). Body mass index distribution showed a general tendency to overweight with a median value of 25.1. The median energy intake was 1907 kcal/day, higher in men (2025 kcal/day) than in women (1801 kcal/day). Adherence to the Italian Mediterranean Index was moderate with approximately 60% of subjects having a score equal or above the median value of 4, and a similar higher proportion of subjects appeared to adhere to MIND pattern, with a mean score of 7.5. Mean intake of specific food categories demonstrated comparable dietary habits in both sexes, except for a slightly lower consumption of cereal products (206.4 g/day vs. 174.2 g/day), meat (142.4 g/day vs. 117.2 g/day) and beverages (mainly due to wine: 191.4 g/day vs. 73.9 g/day) in women, while men had a lower consumption of milk and yogurt (159.4 g/day vs. 212.5 g/day), coffee and tea (120.6 g/day vs. 170.6 g/day) and a slightly lower intake of vegetables (154.1 g/day vs. 161.4 g/day) and citrus fruits (207.0 g/day vs. 223.8 g/day) (Supplementary Table S1).

Table 1.

Characteristics of study participants. Number (percentage-%) reported when not otherwise indicated and median and interquartile range (IQR).

All Subjects Men Women
Characteristics N (%) N (%) N (%)
Overall 719 (100) 319 (44.4) 400 (55.6)
Age (years)
Median (IQR) 57 (43–67) 60 (50–69) 53 (41–63)
<65 years 499 (69.4) 190 (59.6) 309 (77.2)
≥65 years 220 (30.6) 129 (40.4) 91 (22.8)
Education (years)
≤5, primary school or less 170 (23.6) 86 (27.0) 84 (21.0)
6–8, middle school 178 (24.8) 86 (27.0) 92 (23.0)
9–13, high school 268 (37.3) 101 (31.7) 167 (41.7)
≥14, college or more 103 (14.3) 46 (14.4) 57 (14.3)
Marital status
Married/unmarried partner 493 (68.6) 239 (74.9) 254 (63.5)
Unmarried/single 104 (14.5) 42 (13.2) 62 (15.5)
Divorced 48 (6.7) 18 (5.6) 40 (7.5)
Widowed 74 (10.3) 20 (6.3) 54 (13.5)
Body mass index (kg/m2)
Median (IQR) 25.1 (22.7–27.8) 26.1 (24.2–28.7) 24.1 (21.6–27.0)
≤19 45 (6.3) 3 (0.9) 42 (10.5)
20–24 306 (42.6) 116 (36.4) 190 (47.5)
25–29 287 (39.9) 162 (50.8) 125 (31.2)
≥30 81 (11.3) 38 (11.9) 43 (10.8)
Energy (kcal/day) Median (IQR) 1907 (1538–2364) 2025 (1650–2463) 1801 (1456–2296)
Italian Mediterranean Index
Median (IQR) 4 (3–5) 4 (3–5) 4 (3–5)
<4 275 (38.2) 129 (40.4) 146 (36.5)
≥4 444 (61.8) 190 (59.6) 254 (63.5)
MIND pattern
Median (IQR) 7.5 (6.5–8.5) 7.5 (6.5–8.5) 7.5 (7.0–8.5)
<7.5 288 (40.1) 144 (45.1) 144 (36.0)
≥7.5 431 (59.9) 175 (54.9) 256 (64.0)

The average sodium and potassium content of food is reported in Table 2. The highest sodium levels were found in processed meat (12.0 g/kg); fish and seafood, especially preserved and tinned fish (13.0 g/kg); followed by bread, rolls, and other prepackaged cereals and salty snacks (5.4 and 6.2 g/kg, respectively). In addition, cheese (5.2 g/kg), butter, and other animal fats (3.7 g/kg) showed a higher sodium content compared to milk (4.4 g/day) and vegetable/olive oils (<0.3 g/kg), respectively. Conversely, the highest potassium levels were found in legumes (10.0 g/kg); dry fruits (7.2 g/kg); followed by meat, especially white meat (5.3 g/kg); mushrooms (5.1 g/kg); vegetables (3.1 g/kg); and potatoes (4.1 g/kg). Food containing lower sodium levels were fresh fruits (14.8 mg/kg), followed by almost all beverages (35.4 mg/kg), while rice demonstrated the lowest value (8.0 mg/kg) compared to other cereal products. Lower levels of potassium were found in almost all dairy products (1.2 g/kg), beverages (0.5 g/kg), and oils and fats (0.1 g/kg).

Table 2.

Average content (mg/kg wet weight) of sodium (Na) and potassium (K) in foods and number (%) of samples below the limit of detection (LOD).

Sodium Potassium
Food 1 N Mean Na <LOD
(N)
<LOD (%) Mean K <LOD
(N)
<LOD
(%)
Na/K Ratio
Cereals and cereal products 112 3397.4 2 1.8 2094.8 0 0.0 1.62
  Pasta and other grains 41 551.4 1 2.4 2544.2 0 0.0 0.22
  Rice 8 8.0 1 12.5 1443.9 0 0.0 0.01
  Bread and rolls 42 5409.8 0 0.0 1888.7 0 0.0 2.86
  Pizza, crackers, and other salty snacks 21 6220.2 0 0.0 1877.3 0 0.0 3.31
Meat and meat products 86 6037.9 0 0.0 4275.9 0 0.0 1.41
  Red meat 28 1715.9 0 0.0 4020.9 0 0.0 0.43
  White meat 12 1637.6 0 0.0 5258.2 0 0.0 0.31
  Processed meat 36 12,000.0 0 0.0 4329.0 0 0.0 2.77
  Offal 10 843.4 0 0.0 3620.1 0 0.0 0.23
Milk and dairy products 72 4356.2 0 0.0 1178.1 0 0.0 3.70
  Milk and yogurt 13 416.5 0 0.0 1726.4 0 0.0 0.24
  Cheese 59 5224.2 0 0.0 1057.3 0 0.0 4.94
    Fresh cheese 17 4002.5 0 0.0 1241.9 0 0.0 3.22
    Aged cheese 42 5718.8 0 0.0 982.6 0 0.0 5.82
Eggs 9 1110.8 0 0.0 1192.7 0 0.0 0.93
Fish and seafood 62 4271.7 0 0.0 2789.1 0 0.0 1.53
  Fish 41 4251.5 0 0.0 3407.6 0 0.0 1.25
    Preserved and tinned fish 9 13,000.0 0 0.0 3572.0 0 0.0 3.64
    Non-piscivorous fish 15 1430.8 0 0.0 3541.6 0 0.0 0.40
    Piscivorous fish 17 2079.5 0 0.0 3202.4 0 0.0 0.65
  Crustaceans and mollusks 21 4311.3 0 0.0 1581.5 0 0.0 2.73
All vegetables 196 1846.7 2 1.0 3056.9 0 0.0 0.60
  Leafy vegetables 40 908.9 0 0.0 3307.6 0 0.0 0.27
  Tomatoes 19 2285.4 0 0.0 4244.1 0 0.0 0.54
  Root vegetables 14 435.6 1 7.1 2662.1 0 0.0 0.16
  Cabbage 28 579.2 0 0.0 3140.3 0 0.0 0.18
  Other vegetables 63 3903.5 1 1.6 2790.8 0 0.0 1.40
Mushrooms 5 218.2 0 0.0 5093.9 0 0.0 0.04
Legumes 43 725.9 11 25.6 10,062.5 0 0.0 0.07
Potatoes 14 1543.8 0 0.0 4054.7 0 0.0 0.38
Fresh fruit 60 14.8 3 5.0 1902.6 0 0.0 0.01
  Citrus fruit 12 24.7 1 8.3 1712.9 0 0.0 0.01
  All other fruit 48 12.3 2 4.2 1950.0 0 0.0 0.01
Dry fruit, nuts and seeds 45 1138.4 7 15.6 7189.2 0 0.0 0.16
  Dry fruit 8 1149.8 0 0.0 8351.2 0 0.0 0.14
  Nuts and seeds 37 1135.9 7 18.9 6938.0 0 0.0 0.16
Sweets products 79 1408.0 1 1.3 3271.8 0 0.0 0.43
  Sugar, non-chocolate confectionery 8 128.6 0 0.0 2078.2 0 0.0 0.06
  Chocolate, candy bars, etc. 21 392.2 1 4.8 7529.2 0 0.0 0.05
  Ice-cream 5 297.0 0 0.0 1490.8 0 0.0 0.20
  Cakes, pies and pastries 30 2108.8 0 0.0 1515.8 0 0.0 1.39
  Biscuits, dry cakes 15 2481.4 0 0.0 2053.5 0 0.0 1.21
Oils and fats 23 1305.4 8 34.8 121.8 0 0.0 10.72
  Vegetables fats and oils (non-olive) 12 332.2 5 41.7 24.2 7 58.3 13.73
  Olive oil 4 1.3 3 75.0 6.1 1 25.0 0.21
  Butter and other animal fats 7 3718.9 0 0.0 355.3 0 0.0 10.47
Beverages 102 35.4 1 0.9 534.2 1 0.9 0.07
  Coffee and tea 8 21.4 0 0.0 1236.5 0 0.0 0.02
  Wine 50 14.7 0 0.0 566.1 0 0.0 0.03
    Red wine 27 14.3 0 0.0 708.2 0 0.0 0.02
    White wine 23 15.1 0 0.0 399.3 0 0.0 0.04
  Aperitif wines and beers 8 53.3 1 12.5 493.3 0 0.0 0.11
  Spirits and liqueurs 21 45.8 0 0.0 60.9 1 4.8 0.75
  Fruit juices 8 52.2 0 0.0 1229.5 0 0.0 0.04
  Soft drinks 7 128.6 0 0.0 175.5 0 0.0 0.73

1 Bold characters relate to main food categories.

The dietary intakes of sodium and potassium in the study population are reported in Table 3 and Table 4. Overall mean intakes were 2.2 g/day and 3.4 g/day for sodium and potassium, respectively. Foods contributing the most to sodium intake were cereals (33.2%); meat products (24.5%), mainly processed meats; followed by dairy products (13.6%) and vegetables (12.6%). For potassium, they were meat (17.1%), fresh fruits (15.7%), and vegetables (15.1%), and with relevant contributions from cereals and dairy products (11.6% each) and beverages (10.8%). Men had overall intakes that were only slightly higher than women for both sodium (2.2 vs. 2.1 g/day) (Supplementary Tables S2 and S3) and potassium (3.4 vs. 3.3 g/day) (Supplementary Tables S4 and S5).

Table 3.

Distribution of sodium daily dietary intake in all subjects (in mg/day) and percentage contribution (%) of each food to total intake.

Food 1 Mean SD P5 P25 P50 P75 P95 %
Total intake 2151.8 867.9 1019.9 1563.1 2025.9 2569.0 3785.1 100
Cereals and cereal products 714.3 453.5 110.2 396.7 661.7 943.2 1487.9 33.20
  Pasta and other grains 31.5 22.4 2.3 15.9 27.6 42.8 74.5 1.46
  Rice 0.0 0.1 0.0 0.0 0.0 0.0 0.2 0.00
  Bread and rolls 423.8 389.3 0.0 107.7 324.6 587.5 1112.8 19.70
  Pizza, crackers, and other salty snacks 259.0 191.4 31.2 128.6 219.1 354.0 581.7 12.04
Meat and meat products 526.5 349.8 125.6 290.9 455.1 670.1 1222.3 24.47
  Red meat 113.9 79.0 14.0 57.6 100.0 153.5 267.7 5.29
  White meat 48.1 42.7 0.7 18.9 38.8 67.0 131.6 2.24
  Processed meat 363.0 306.5 32.0 151.4 284.3 478.8 957.7 16.87
  Offal 1.5 3.9 0.0 0.0 0.0 1.3 6.7 0.07
Milk and dairy products 291.6 206.8 66.1 155.8 246.9 366.5 677.8 13.55
  Milk and yogurt 85.0 99.3 0.0 20.8 68.3 114.7 252.1 3.95
  Cheese 206.6 171.6 22.9 88.9 167.4 275.6 530.6 9.60
    Fresh cheese 58.5 76.0 0.0 12.0 36.0 72.0 188.9 2.72
    Aged cheese 148.1 137.4 5.7 55.5 112.1 203.6 390.0 6.88
Eggs 16.7 12.6 1.6 8.1 15.0 23.5 36.9 0.78
Fish and seafood 129.8 160.6 14.7 55.2 100.9 159.9 344.5 6.03
  Fish 98.6 149.7 11.6 38.0 70.3 118.7 270.1 4.58
    Preserved and tinned fish 72.2 143.3 0.0 21.3 47.2 78.4 215.6 3.36
    Non-piscivorous fish 14.6 17.9 0.0 2.1 9.0 20.3 51.1 0.68
    Piscivorous fish 11.8 20.5 0.0 0.3 4.1 14.4 46.3 0.55
  Crustaceans and mollusks 31.2 43.3 0.0 2.9 15.4 47.1 105.3 1.45
All vegetables 270.7 164.7 66.9 152.7 243 348.1 590.6 12.58
  Leafy vegetables 31.7 27.5 4.2 13.1 24.7 41.6 84.0 1.47
  Tomatoes 101.9 110.3 2.9 25.4 66.0 143.4 304.6 4.74
  Root vegetables 17.8 21.5 0.9 4.2 10.4 23.1 60.0 0.83
  Cabbage 2.4 4.1 0.0 0.0 1.0 3.2 10.1 0.11
  Other vegetables 116.9 85.6 21.5 54.9 96.4 160.9 275.3 5.43
Mushrooms 0.6 0.9 0.0 0.1 0.3 0.9 1.9 0.03
Legumes 13.6 13.5 0.4 4.6 9.9 18.4 38.9 0.63
Potatoes 37.9 37.4 2.8 16.5 27.8 49.4 108.1 1.76
Fresh fruit 4.2 2.5 0.7 2.5 3.9 5.4 8.8 0.20
  Citrus fruit 2.7 1.7 0.5 1.5 2.4 3.5 5.7 0.13
  All other fruit 1.6 1.2 0.0 0.7 1.4 2.0 3.8 0.07
Dry fruit, nuts and seeds 1.9 3.4 0.0 0.2 0.3 1.8 9.4 0.09
  Dry fruit 0.4 1.3 0.0 0.0 0.1 0.1 2.8 0.02
  Nuts and seeds 1.5 2.9 0.0 0.2 0.2 1.5 8.1 0.07
Sweets products 114.7 131.5 1.1 31.1 77.4 152.8 332.7 5.33
  Sugar, non-chocolate confectionery 0.4 0.7 0.0 0.0 0.2 0.4 1.5 0.02
  Chocolate, candy bars, etc. 2.1 3.4 0.0 0.0 0.7 2.2 8.8 0.10
  Ice-cream 4.1 4.6 0.0 0.7 3.1 5.9 12.7 0.19
  Cakes, pies and pastries 74.0 114.4 0.0 7.0 30.2 110.3 253.1 3.44
  Biscuits, dry cakes 34.1 42.5 0.0 0.0 15.6 59.6 119.6 1.58
Oils and fats 9.7 11.5 0.1 1.4 5.9 14.5 29.5 0.45
  Vegetables fats and oils (non-olive) 0.7 1.6 0.0 0.2 0.4 0.8 2.4 0.03
  Olive oil 0.0 0.0 0.0 0.0 0.0 0.0 0.1 0.00
  Butter and other animal fats 9.0 11.2 0.0 0.6 5.3 13.4 28.0 0.42
Beverages 19.7 25.1 2.1 5.9 11.5 22.8 64.3 0.92
  Coffee and tea 3.2 2.8 0.2 1.6 2.6 4.0 7.0 0.15
  Wine 1.8 2.4 0.0 0.0 0.8 3.6 7.2 0.08
    Red wine 1.1 1.7 0.0 0.0 0.2 1.6 4.8 0.05
    White wine 0.8 1.5 0.0 0.0 0.0 0.7 3.8 0.04
  Aperitif wines and beers 4.0 11.6 0.0 0.0 0.6 3.4 19.0 0.19
  Spirits and liqueurs 0.1 0.5 0.0 0.0 0.0 0.0 0.8 0.00
  Fruit juices 4.9 12.3 0.0 0.0 0.7 4.8 22.4 0.23
  Soft drinks 5.7 15.2 0.0 0.0 0.0 4.3 25.7 0.26

1 Bold characters relate to main food categories.

Table 4.

Distribution of potassium daily dietary intake in all subjects (in mg/day) and percentage contribution (%) of each food to total intake.

Food 1 Mean SD P5 P25 P50 P75 P95 %
Total intake 3367.3 1127.9 1887.4 2611.8 3238.8 3862.6 5508.4 100
Cereals and cereal products 390.6 203.3 108.4 252.9 362.0 505.2 751.0 11.60
  Pasta and other grains 145.3 103.6 10.4 73.3 127.5 197.7 344.0 4.31
  Rice 8.0 11.0 0.0 1.6 5.1 8.8 28.0 0.24
  Bread and rolls 148.0 135.9 0..0 37.6 113.3 205.1 388.5 4.39
  Pizza, crackers, and other salty snacks 89.3 64.8 9.5 43.0 80.9 117.5 197.4 2.65
Meat and meat products 574.9 316.6 140.4 355.5 531.1 735.6 1219.4 17.07
  Red meat 286.7 192.1 36.5 143.8 256.1 389.7 674.0 8.52
  White meat 153.9 137.4 2.3 59.2 124.8 211.2 420.2 4.57
  Processed meat 127.6 107.8 11.3 53.2 100.0 168.4 337.0 3.79
  Offal 6.6 16.6 0.0 0.0 0.0 5.8 27.0 0.20
Milk and dairy products 391.9 409.8 21.3 123.9 318.5 508.1 1046.4 11.64
  Milk and yogurt 348.3 402.9 0.0 82.5 281.7 472.8 1031.5 10.34
  Cheese 43.6 37.0 4.7 19.1 34.9 56.1 109.0 1.29
    Fresh cheese 18.1 23.6 0.0 3.7 11.2 22.4 58.6 0.54
    Aged cheese 25.4 23.6 1.0 9.5 19.3 35.0 67.0 0.76
Eggs 18.0 13.6 1.7 8.7 16.1 25.3 39.6 0.53
Fish and seafood 107.3 86.2 13.7 49.7 87.5 136.4 280.0 3.19
  Fish 95.7 80.0 9.3 42.1 78.5 122.4 243.4 2.84
    Preserved and tinned fish 31.5 37.7 0.0 9.3 23.4 40.0 86.8 0.94
    Non-piscivorous fish 37.7 45.0 0.0 5.6 23.8 53.0 143.4 1.12
    Piscivorous fish 26.5 37.7 0.0 1.6 13.2 39.9 92.2 0.79
  Crustaceans and mollusks 11.6 16.2 0.0 1.1 5.7 17.8 38.2 0.35
All vegetables 506.8 291.2 143.3 308.2 453.8 639.7 1118.6 15.05
  Leafy vegetables 102.8 86.0 9.7 40.8 78.1 140.2 284.0 3.05
  Tomatoes 234.2 180.4 20.2 105.1 198.4 315.0 572.0 6.95
  Root vegetables 87.2 89.4 10.0 30.8 61.2 105.1 254.2 2.59
  Cabbage 13.1 22.2 0.0 0.0 5.7 17.3 55.0 0.39
  Other vegetables 69.6 53.1 10.1 31.1 56.4 97.0 173.7 2.07
Mushrooms 12.9 20.2 0.0 1.5 6.1 20.4 43.8 0.38
Legumes 188.5 187.5 5.0 63.4 136.9 254.6 539.3 5.60
Potatoes 99.5 98.2 7.3 43.4 73.0 129.7 283.8 2.95
Fresh fruit 529.9 314.9 91.5 315.2 494.3 696.4 1117.6 15.74
  Citrus fruit 421.8 264.4 76.6 236.5 383.4 555.7 909.7 12.53
  All other fruit 108.1 85.7 1.5 46.4 97.1 139.3 260.0 3.21
Dry fruit, nuts and seeds 12.2 21.5 0.0 1.4 2.2 11.9 60.5 0.36
  Dry fruit 3.3 9.2 0.0 0.0 0.8 0.8 20.0 0.10
  Nuts and seeds 8.9 17.7 0.0 1.4 1.4 9.0 49.3 0.27
Sweets products 169.4 147.5 15.0 71.9 133.5 221.9 429.5 5.03
  Sugar, non-chocolate confectionery 27.6 33.4 0.0 6.2 18.6 41.4 80.0 0.82
  Chocolate, candy bars, etc. 39.6 65.8 0.0 0.0 12.8 42.9 169.4 1.18
  Ice-cream 20.8 23.3 0.0 3.7 15.5 29.5 64.0 0.62
  Cakes, pies and pastries 53.2 82.2 0.0 5.0 21.7 79.3 181.9 1.58
  Biscuits, dry cakes 28.2 35.2 0.0 0.0 12.9 49.3 99.0 0.84
Oils and fats 1.1 1.1 0.1 0.4 0.8 1.6 3.1 0.03
  Vegetables fats and oils (non-olive) 0.1 0.1 0.0 0.0 0.0 0.1 0.2 0.002
  Olive oil 0.1 0.1 0.0 0.1 0.1 0.2 0.3 0.004
  Butter and other animal fats 0.9 1.1 0.0 0.2 0.6 1.4 2.8 0.03
Beverages 364.4 274.9 67.8 193.8 310.8 473.0 799.5 10.82
  Coffee and tea 180.8 162.2 4.0 83.4 162.5 231.6 394.3 5.37
  Wine 73.3 97.1 0.0 0.8 29.7 108.4 265.6 2.18
    Red wine 52.8 84.3 0.0 0.0 11.3 80.4 236.0 1.57
    White wine 20.6 40.7 0.0 0.0 0.8 19.2 99.8 0.61
  Aperitif wines and beers 27.2 78.7 0.0 0.0 3.7 26.7 127.8 0.81
  Spirits and liqueurs 0.2 0.7 0.0 0.0 0.0 0.0 1.0 0.01
  Fruit juices 75.1 153.6 0.0 0.0 17.5 81.1 351.0 2.23
  Soft drinks 7.8 20.8 0.0 0.0 0.0 5.8 35.1 0.23

1 Bold characters relate to main food categories.

In Figure 1, we present a comparison between sodium and potassium intake from all food categories, their contribution to the overall intake, and the food-specific Na/K ratio. Cereals overall had a higher Na/K ratio, although pasta and rice had a lower Na/K ratio. Similarly, fish and seafood favored sodium with high Na/K ratios for preserved/tinned fish and crustaceans/mollusks, while other types of fish showed the opposite relationship. Similar patterns were noted for dairy products with Na/K ratio in favor of potassium for milk and yogurt, but not for cheese. Interestingly, legumes, potatoes and particularly fresh fruits intakes were in favor of potassium and the same for beverages, mainly driven by coffee, tea and wine. It is noteworthy that amongst oils and fats, olive oil only showed a Na/K ratio in favor of potassium whereas the intake of both animal fats and other vegetable oils greatly increased sodium intake.

Figure 1.

Figure 1

Average level of intake (in mg/day) of sodium and potassium according to food categories, their percentage contribution (in %) and sodium-to-potassium (Na/K) ratio. Light and dark orange bars indicate sodium and light and dark green bars indicate potassium, respectively.

The distribution of sodium and potassium intake divided below (<4) and above (≥4) the median adherence to the Italian Mediterranean Index showed no substantial influence on sodium intake (2.2 vs. 2.1 g/day for low and high adherence, respectively) (Table 5). Conversely, subjects with adherence above the median score of the Italian Mediterranean Index demonstrated substantial higher potassium intake (3.1 vs. 3.6 g/day). Substantially identical findings were observed when dividing below (<7.5) and above (≥7.5) the median adherence to the MIND pattern (Table 6). Finally, the increase in adherence to Mediterranean and MIND patterns was linearly associated with a decrease in the Na/K ratio, from a predicted value based on linear regression analysis of 0.77 (95% CI 0.74–0.80) in the subjects with lowest adherence to the predicted value of 0.50 (95% CI 0.47–0.53) in the highest-adherent ones (Figure 2). Similar relationships were noted with the MIND pattern, with a predicted Na/K ratio of 0.83 (95% CI 0.79–0.87) in the lowest-adherence subjects and 0.47 (95% CI 0.43–0.51) in the highest ones (Figure 2).

Table 5.

Distribution of sodium and potassium daily dietary intake below (<4) and above (≥4) the median adherence to the Italian Mediterranean Index (IMI) (in mg/day). Mean, standard deviation and p values form the t-test of difference between means are reported.

Sodium Potassium
Food 1 IMI < 4
N = 275
IMI ≥ 4
N = 444
p Value IMI < 4
N = 275
IMI ≥ 4
N = 444
p Value
Total intake 2164.7 (849.5) 2143.8 (880.0) 0.755 3049.6 (901.6) 3564.1 (1207.3) <0.001
Cereals and cereal products 731.5 (465.3) 703.7 (446.2) 0.424 384.7 (202.9) 394.2 (203.6) 0.542
  Pasta and other grains 28.6 (21.0) 33.3 (23.1) 0.006 131.8 (96.8) 153.6 (106.8) 0.006
  Rice 0.04 (0.05) 0.05 (0.07) 0.046 7.0 (9.3) 8.7 (12.0) 0.046
  Bread and rolls 444.4 (415.6) 411.1 (372.1) 0.265 155.1 (145.1) 143.5 (129.9) 0.265
  Pizza, crackers, and other salty snacks 258.5 (173.7) 259.3 (201.7) 0.959 90.7 (60.1) 88.4 (67.6) 0.645
Meat and meat products 601.8 (361.9) 479.8 (334.1) <0.001 624.3 (294.0) 544.4 (326.5) 0.001
  Red meat 130.4 (78.8) 103.7 (77.4) <0.001 327.9 (191.3) 261.2 (188.4) <0.001
  White meat 44.1 (38.6) 50.5 (44.9) 0.049 141.0 (123.2) 162.0 (145.0) 0.046
  Processed meat 426.0 (335.2) 323.9 (280.7) <0.001 149.8 (117.9) 113.9 (98.7) <0.001
  Offal 1.3 (3.4) 1.7 (4.1) 0.180 5.6 (14.7) 7.3 (17.7) 0.180
Milk and dairy products 281.2 (195.8) 298.1 (213.4) 0.289 345.2 (397.5) 420.8 (415.1) 0.016
  Milk and yogurt 73.5 (96.7) 92.1 (100.3) 0.015 301.3 (392.1) 377.4 (407.1) 0.014
  Cheese 207.7 (163.8) 205.9 (176.4) 0.896 43.9 (35.0) 43.4 (38.2) 0.856
    Fresh cheese 59.5 (67.3) 57.9 (80.9) 0.787 18.4 (20.9) 18.0 (25.1) 0.787
    Aged cheese 148.2 (129.6) 148.1 (142.2) 0.989 25.5 (22.3) 25.4 (24.4) 0.989
Eggs 16.2 (11.3) 17.0 (13.4) 0.393 17.4 (12.1) 18.3 (14.4) 0.393
Fish and seafood 117.6 (211.0) 137.3 (119.0) 0.110 87.8 (72.2) 119.3 (91.8) <0.001
  Fish 89.5 (204.4) 104.2 (102.1) 0.202 77.3 (66.9) 107.0 (85.2) <0.001
    Preserved and tinned fish 69.7 (201.6) 73.8 (90.3) 0.713 28.9 (43.1) 33.1 (33.8) 0.141
    Non-piscivorous fish 11.3 (13.3) 16.6 (20.0) <0.001 28.2 (30.8) 43.5 (51.1) <0.001
    Piscivorous fish 8.4 (13.9) 13.8 (23.5) <0.001 20.2 (29.7) 30.4 (41.5) <0.001
  Crustaceans and mollusks 28.1 (35.5) 33.1 (47.3) 0.127 10.5 (13.5) 12.3 (17.6) <0.001
All vegetables 204.7 (104.5) 311.6 (181.3) <0.001 358.6 (168.8) 598.5 (312.6) <0.001
  Leafy vegetables 23.0 (17.7) 37.1 (30.9) <0.001 68.8 (56.0) 123.8 (94.2) <0.001
  Tomatoes 80.2 (76.4) 115.4 (125.0) <0.001 174.4 (119.3) 271.2 (200.8) <0.001
  Root vegetables 10.7 (11.3) 22.2 (24.9) <0.001 56.9 (49.8) 105.9 (102.4) <0.001
  Cabbage 1.5 (2.5) 3.0 (4.7) <0.001 8.3 (13.7) 16.0 (25.7) <0.001
  Other vegetables 89.3 (59.4) 133.9 (94.5) <0.001 50.3 (35.9) 81.5 (58.3) <0.001
Mushrooms 0.5 (0.6) 0.6 (1.0) 0.073 11.2 (14.2) 13.9 (23.1) 0.073
Legumes 9.9 (9.4) 15.9 (15.1) <0.001 136.5 (130.8) 220.7 (209.0) <0.001
Potatoes 38.4 (26.3) 37.5 (42.9) 0.756 100.9 (69.1) 98.6 (112.6) 0.756
Fresh fruit 3.3 (1.9) 4.8 (2.6) <0.001 407.7 (234.6) 605.6 (334.2) <0.001
  Citrus fruit 2.0 (1.2) 3.0 (1.8) <0.001 320.7 (192.8) 484.5 (283.0) <0.001
  All other fruit 1.3 (1.1) 1.7 (1.3) <0.001 87.0 (73.6) 121.1 (90.0) <0.001
Dry fruit, nuts and seeds 1.9 (3.7) 1.9 (3.2) 0.861 12.0 (23.2) 12.3 (20.5) 0.844
  Dry fruit 0.4 (1.2) 0.5 (1.3) 0.674 3.1 (8.4) 3.4 (9.7) 0.674
  Nuts and seeds 1.5 (3.2) 1.5 (2.7) 0.983 8.9 (19.7) 8.9 (16.4) 0.983
Sweets products 123.7 (142.2) 109.1 (124.2) 0.149 181.1 (151.4) 162.2 (144.8) 0.095
  Sugar, non-chocolate confectionery 0.4 (0.7) 0.3 (0.8) 0.338 29.2 (33.2) 26.6 (33.6) 0.320
  Chocolate, candy bars, etc. 2.2 (3.6) 2.0 (3.3) 0.322 42.7 (69.5) 37.7 (63.5) 0.322
  Ice-cream 4.3 (4.4) 4.0 (4.8) 0.380 21.7 (21.9) 20.1 (24.1) 0.380
  Cakes, pies and pastries 84.2 (125.8) 67.7 (106.4) 0.060 60.5 (90.5) 48.7 (76.5) 0.060
  Biscuits, dry cakes 32.5 (42.1) 35.1 (42.8) 0.436 26.9 (34.8) 29.0 (35.4) 0.436
Oils and fats 11.6 (13.0) 8.6 (10.2) <0.001 1.3 (1.3) 1.0 (1.0) <0.001
  Vegetables fats and oils (non-olive) 0.8 (1.6) 0.7 (1.6) 0.658 0.1 (0.1) 0.1 (0.1) 0.709
  Olive oil 0.02 (0.01) 0.02 (0.02) <0.001 0.1 (0.0) 0.2 (0.1) <0.001
  Butter and other animal fats 10.8 (12.9) 7.9 (9.8) <0.001 1.2 (1.3) 0.8 (0.9) <0.001
Beverages 22.6 (24.0) 17.9 (25.7) 0.016 380.8 (269.1) 354.2 (278.3) 0.208
  Coffee and tea 3.2 (2.7) 3.2 (2.8) 0.993 181.5 (183.0) 180.3 (148.0) 0.924
  Wine 2.3 (2.5) 1.6 (2.3) <0.001 87.2 (99.7) 64.7 (94.5) 0.003
    Red wine 1.2 (1.7) 1.0 (1.7) 0.087 59.6 (86.5) 48.5 (82.8) 0.087
    White wine 1.0 (1.8) 0.6 (1.3) <0.001 27.6 (48.1) 16.2 (34.8) <0.001
  Aperitif wines and beers 4.4 (9.8) 3.7 (12.6) 0.465 30.1 (66.4) 25.5 (85.4) 0.449
  Spirits and liqueurs 0.2 (0.7) 0.1 (0.4) 0.001 0.3 (0.9) 0.1 (0.5) 0.001
  Fruit juices 4.3 (8.1) 5.3 (14.3) 0.297 70.4 (129.6) 78.0 (166.9) 0.521
  Soft drinks 8.3 (16.2) 4.1 (14.3) <0.001 11.3 (22.1) 5.6 (19.6) <0.001

1 Bold characters relate to main food categories.

Table 6.

Distribution of sodium and potassium daily dietary intake below (<7.5) and above (≥7.5) the median adherence to the Mediterranean–DASH Diet Intervention for Neurodegenerative Delay (MIND) (in mg/day). Mean, standard deviation, and p values from the t-test of differences between means are reported.

Sodium Potassium
Food 1 MIND < 7.5
N = 288
MIND ≥ 7.5
N = 431
p Value MIND < 7.5
N = 288
MIND ≥ 7.5
N = 431
p Value
Total intake 2121.5 (841.8) 2172.1 (885.4) 0.444 3058.1 (993.1) 3573.9 (1165.8) <0.001
Cereals and cereal products 687.3 (440.1) 732.3 (461.9) 0.193 390.3 (194.9) 390.7 (208.9) 0.981
  Pasta and other grains 33.4 (22.9) 30.2 (22.1) 0.057 154.3 (105.6) 139.3 (101.8) 0.057
  Rice 0.04 (0.06) 0.05 (0.06) 0.160 7.3 (10.1) 8.5 (11.6) 0.160
  Bread and rolls 406.9 (375.3) 435.1 (398.5) 0.341 142.0 (131.0) 151.9 (139.1) 0.341
  Pizza, crackers, and other salty snacks 247.0 (190.8) 267.0 (191.5) 0.170 86.7 (67.6) 91.1 (62.9) 0.380
Meat and meat products 595.0 (354.1) 480.7 (339.6) <0.001 607.0 (298.2) 553.5 (327.0) 0.026
  Red meat 123.6 (77.8) 107.4 (79.2) 0.007 321.2 (193.7) 263.7 (187.8) <0.001
  White meat 39.5 (38.1) 53.8 (44.7) <0.001 127.0 (123.5) 171.9 (143.2) <0.001
  Processed meat 430.1 (326.9) 318.1 (283.7) <0.001 151.3 (115.0) 111.9 (99.8) <0.001
  Offal 1.8 (4.6) 1.4 (3.3) 0.202 7.6 (19.7) 6.0 (14.2) 0.202
Milk and dairy products 281.8 (189.9) 298.2 (217.4) 0.299 342.1 (376.8) 425.2 (427.7) 0.008
  Milk and yogurt 72.9 (92.1) 93.1 (103.1) 0.007 298.3 (372.1) 381.7 (419.3) 0.007
  Cheese 208.9 (162.7) 205.1 (177.4) 0.769 43.7 (34.2) 43.5 (38.8) 0.927
    Fresh cheese 56.7 (66.3) 59.6 (81.8) 0.616 17.6 (20.6) 18.5 (25.4) 0.616
    Aged cheese 152.2 (134.7) 145.4 (139.3) 0.520 26.1 (23.1) 25.0 (23.9) 0.520
Eggs 16.0 (12.4) 17.2 (12.8) 0.210 17.2 (13.3) 18.5 (13.7) 0.210
Fish and seafood 100.8 (96.8) 149.1 (189.5) <0.001 81.4 (66.9) 124.6 (93.1) <0.001
  Fish 75.3 (84.5) 114.1 (179.1) 0.001 71.8 (62.3) 111.6 (86.4) <0.001
    Preserved and tinned fish 55.2 (75.9) 83.6 (173.6) 0.009 24.4 (24.1) 36.3 (43.8) <0.001
    Non-piscivorous fish 11.1 (14.1) 16.9 (19.8) <0.001 28.1 (35.8) 44.0 (49.3) <0.001
    Piscivorous fish 9.0 (16.3) 13.6 (22.8) 0.003 19.3 (28.2) 31.3 (42.3) <0.001
  Crustaceans and mollusks 25.6 (32.9) 35.0 (48.6) 0.004 9.6 (12.5) 13.0 (18.1) 0.006
All vegetables 222.0 (146.2) 303.2 (168.5) <0.001 405.1 (262.6) 574.7 (289.8) <0.001
  Leafy vegetables 22.4 (21.1) 37.9 (29.5) <0.001 72.1 (73.7) 123.2 (87.6) <0.001
  Tomatoes 95.0 (99.9) 106.6 (116.6) 0.169 208.0 (168.8) 251.7 (185.9) 0.001
  Root vegetables 12.4 (16.6) 21.4 (23.6) <0.001 66.5 (72.3) 101.0 (96.8) <0.001
  Cabbage 1.4 (2.3) 3.1 (4.8) <0.001 7.6 (12.3) 16.7 (26.3) <0.001
  Other vegetables 90.8 (74.2) 134.3 (88.3) <0.001 50.9 (45.1) 82.1 (54.4) <0.001
Mushrooms 0.4 (0.7) 0.6 (1.0) 0.002 10.0 (15.7) 14.8 (22.5) 0.002
Legumes 9.4 (10.6) 16.4 (14.5) <0.001 130.9 (147.4) 227.0 (201.2) <0.001
Potatoes 35.0 (34.5) 39.8 (39.1) 0.093 91.9 (90.5) 104.5 (102.8) 0.093
Fresh fruit 3.4 (2.1) 4.8 (2.6) <0.001 423.7 (260.7) 600.9 (328.1) <0.001
  Citrus fruit 2.1 (1.3) 3.0 (1.8) <0.001 332.8 (211.2) 481.3 (279.5) <0.001
  All other fruit 1.3 (1.1) 1.7 (1.3) <0.001 90.9 (77.7) 119.6 (88.9) <0.001
Dry fruit, nuts and seeds 1.1 (2.2) 2.4 (3.9) <0.001 7.3 (13.9) 15.5 (24.9) <0.001
  Dry fruit 0.2 (0.8) 0.6 (1.5) <0.001 1.7 (5.9) 4.3 (10.7) <0.001
  Nuts and seeds 0.9 (1.9) 1.8 (3.3) <0.001 5.6 (11.9) 11.2 (20.4) <0.001
Sweets products 137.3 (149.3) 99.6 (115.8) <0.001 186.6 (152) 157.9 (143.5) 0.011
  Sugar, non-chocolate confectionery 0.4 (1.0) 0.3 (0.5) <0.010 26.9 (25.6) 28.1 (37.8) 0.636
  Chocolate, candy bars, etc. 2.1 (3.5) 2.1 (3.4) 0.996 39.6 (67.4) 39.6 (64.9) 0.996
  Ice-cream 4.4 (5.1) 3.9 (4.3) 0.180 22.2 (25.5) 19.8 (21.6) 0.180
  Cakes, pies and pastries 91.5 (137.2) 62.4 (94.6) <0.001 65.8 (98.6) 44.8 (68.0) 0.001
  Biscuits, dry cakes 38.9 (41.9) 30.9 (42.7) 0.014 32.2 (34.6) 25.6 (35.3) 0.014
Oils and fats 11.2 (11) 8.8 (11.7) 0.006 1.3 (1.1) 1.0 (1.1) 0.004
  Vegetables fats and oils (non-olive) 0.9 (2.1) 0.6 (1.1) 0.029 0.06 (0.14) 0.05 (0.08) 0.035
  Olive oil 0.02 (0.01) 0.03 (0.02) <0.001 0.11 (0.07) 0.14 (0.08) <0.001
  Butter and other animal fats 10.2 (10.7) 8.1 (11.5) 0.012 1.1 (1.1) 0.8 (1.1) 0.001
Beverages 20.6 (23.0) 19.1 (26.4) 0.410 363.3 (252.6) 365.2 (289.2) 0.930
  Coffee and tea 3.0 (2.2) 3.3 (3.1) 0.108 160.4 (124.9) 194.4 (181.8) 0.006
  Wine 2.4 (2.8) 1.5 (2.1) <0.001 92.9 (112.9) 60.3 (82.5) <0.001
    Red wine 1.3 (2.0) 0.9 (1.4) 0.001 65.9 (100.9) 44.0 (69.9) 0.001
    White wine 1.0 (1.8) 0.6 (1.3) 0.001 27.0 (47.9) 16.3 (34.6) 0.001
  Aperitif wines and beers 4.4 (10.6) 3.7 (12.3) 0.423 30.3 (72.3) 25.2 (82.7) 0.400
  Spirits and liqueurs 0.2 (0.6) 0.1 (0.4) 0.041 0.2 (0.8) 0.1 (0.6) 0.041
  Fruit juices 4.2 (7.9) 5.3 (14.6) 0.212 70.6 (131.9) 78.2 (166.7) 0.516
  Soft drinks 6.6 (14.1) 5.1 (15.9) 0.210 8.9 (19.3) 7.0 (21.6) 0.210

1 Bold characters relate to main food categories.

Figure 2.

Figure 2

Linear regression between sodium-to-potassium (Na/K) ratio and Italian Mediterranean Index-IMI (A) or MIND pattern (B). Squares and spikes indicate median and interquartile range, respectively. Solid and dashed lines indicate crude and adjusted linear fitting, respectively.

4. Discussion

In this Northern Italy community, we found that the mean sodium intake was above the current internationally recognized dietary recommendations of 1.5–2 g/day for adult populations [26], while the mean potassium intake was slightly lower than the dietary recommendation of 3.5 g/day [9]. Compared to previous Italian surveys, we found a small decrease in the average sodium intake when compared to the 3.8 g/day reported by the Italian Total Diet Study (TDS) 2001–2002 [23]. The most recent 2008–2012 CUORE survey showed substantially similar intakes with values of 2.3 and 1.9 g/day for men and women, respectively [24]. As regards potassium, our results were similar to intakes reported in the recent surveys which generally reported a potassium intake >3 g/day [24,27,47], although differences between sexes were less marked compared to other surveys, without an appreciably higher intake in men compared to women [27,28]. As a consequence, it is not surprising that higher adherence to the Mediterranean and MIND diets is associated with a general decrease of Na/K ratio. That lowering effect seemed mainly driven by an increase in potassium intake, since sodium intake was only slightly affected while potassium increased at higher levels of adherence to the investigated dietary patterns.

Despite the fact that there is no single definition of Mediterranean diet, it usually describes the traditional diet of populations residing in areas bordering the Mediterranean Sea, and is characterized by a high consumption of plant-based foods (such as vegetable, legumes, fruits, and nuts), preference for whole-grain cereals, fish and dairy products instead of other sources of refined carbohydrates and animal proteins [48,49]. Other features include the daily consumption of olive oil and moderate intake of alcohol (mostly red wine) during meals [49]. However in recent decades, there has been a gradual decline in adherence to the traditional Mediterranean diet in favor of Western dietary habits characterized by an unbalanced intake of foods that may lead to micronutrient deficiencies [50].

In spite of the general assumption of high adherence of Italians to a Mediterranean dietary pattern, this is unfortunately not true, since a gap still exists between the recommendations and the real dietary pattern, especially in most recent years [51,52]. Habitual salt intake in Europe is approximately 10 g per day [53] of which unprocessed foods represented approximately 12% of total salt intake but the majority (over 75%) occurred from processed food consumption [53,54,55] rather than from discretionary salt. The assessment of dietary sodium intake in free-living individuals is challenging due to high day-to-day variation, diversity in sources (naturally present, added during food processing, and discretionary use of salt at home) and the general trend for an overall reduction in salt concentrations of processed foods in recent years.

Our findings suggest that increased adherence to IMI and MIND patterns has limited effects on sodium intake, but it leads to an almost adequate potassium intake. For individuals, WHO recommend a sodium intake <2 g/day and a potassium intake >3.5 g/day [56,57] which would yield a Na/K ≤0.6, a ratio of intake considered beneficial for health in order to decrease blood pressure and generally improve cardiovascular health [52,58]. Foods showing the lowest Na/K ratio were fresh and dry fruits, most vegetables, legumes, and beverages, in accordance with previous surveys [47,59]. Conversely, among other categories, processed and prepackaged cereals (particularly salty and sweet snacks), processed meat, cheese, and non-olive oils and fats demonstrated higher values according to our findings and those reported previously [59,60]. In addition, efforts to decrease Na/K ratio could include specific indications supporting the use of low-sodium products, the gradual reduction of added salt to allow progressive adaptation towards a more sensitive taste, and the use of salt substitutes rich in potassium [61,62].

Our study population is generally characterized by good adherence to the Mediterranean diet [63]. However, more than a third of subjects (38%) in the study population had scores between 0–3 out of a maximum score of 11 points, indicating that improvement in dietary habits is both possible and definitely needed. Various longitudinal studies have analyzed the benefits of a Mediterranean diet in comparison with other types of diet [64,65,66,67]. These studies have shown that people with good adherence to a Mediterranean diet have a better quality of life and greater life expectancy, along with a decreased prevalence of chronic diseases [68,69]. Evidence has been accumulating that the Mediterranean diet may provide a substantial benefit by reducing the risk of many chronic diseases such as CVD disease, e.g., through maintenance of blood pressure and endothelial function [70,71].

Our study has some limitations. We did not include the quantity of drinking water in the intake of beverages, but it is considered a trivial source of both sodium and potassium [55,72,73]. In addition, we did not account for discretionary salt use since the EPIC questionnaire only assessed the habit to add salt when subjects do not eat at home. Moreover, we recruited only healthy adult subjects, and the results cannot be generalized to other populations e.g., children and the elderly, the latter being potentially more vulnerable to adverse effects in relation to excess sodium intake. In addition, since the recruitment period was carried out during 2005–2006, dietary habits of the population may have changed over time, although recent results from 2008–2012 showed similar values of intake of sodium and potassium [24], suggesting a relatively stable intake in a population without intervention specifically aimed at improving dietary habits. Finally, considering the ten-year gap between the time of population sampling and food analysis, we cannot entirely rule out that some changes over time may have occurred towards a sodium reduction and thus partially biased our estimates, especially due to a decrease in salt in processed foods [74]. Small, though still limited, changes in the sodium content of processed and restaurant foods appear to have occurred in more recent years [75,76,77]. However, the relatively low intake of processed and prepackaged foods in the study population, and the evidence that high sodium levels are still found in these products, despite efforts by the food industry in lowering its concentrations [78] suggests that our assessments are likely still currently valid.

One strength of our study is that we measured the sodium and potassium content of a large number of food samples and beverages that represent habitual dietary patterns of Northern Italy, and were therefore able to assess sodium and potassium dietary intakes with a high degree of accuracy. In addition, we estimated dietary intakes in a randomly selected large population sample from the Emilia-Romagna region. Although its dietary characteristics could be generally similar to those of other Italian populations [45,79], some peculiarities may be present due to the regional differences in plant growing and animal husbandry. However, the 2008–2012 survey was carried out with recruitment of participants from 21 municipalities across the country [24], among which Modena municipality only has been considered, and in addition no specific data about sodium and potassium was made available [80].

Finally, as regards the assessment of dietary habits, we estimated both sodium and potassium intake along with adherence to Mediterranean diet in our study community through implementation of the EPIC-validated semi-quantitative FFQ in the version tailored for dietary habits of the population of Northern Italy [81]. Although there is a European consensus that two non-consecutive 24 h dietary recalls are the preferred methods for the estimation of sodium intake when using a dietary survey at the population or group level [82], the implementation of the EPIC-FFQ should be considered a strength of the study. The EPIC-FFQ assesses frequency and quantity of consumption over an entire year, and takes into account intakes of seasonal food, supporting its substantial validity and reproducibility for the assessment of dietary habits in the adult population [83].

5. Conclusions

Our study provides an updated assessment of foods that contribute to sodium and potassium intake in a Northern Italy community. We found a mean sodium intake of 2.2 g/day, which exceeds the dietary recommendation for adults of 1.5–2 g/day, whereas the mean potassium intake was 3.4 g/day, which was slightly lower than the recommended 3.5 g/day. Our findings suggest that higher adherence to Mediterranean diet and MIND patterns has no effect on sodium intake, but may have a beneficial influence on potassium, favoring the achievement of the recommended dietary intake though a decrease in the Na/K ratio, notably by higher intakes of fresh and dry fruits, most vegetables, legumes, and beverages, as well as a reduction in processed and prepackaged foods.

Acknowledgments

The authors are grateful to subjects who participated in the study and made it possible.

Supplementary Materials

The following are available online at https://www.mdpi.com/article/10.3390/nu13082681/s1, Table S1: Food intake (g/day) according to different categories for the whole study population and by sex. Mean and standard deviation (SD) along with p values from t-test for independent samples for the difference between men and women are reported. Table S2: Distribution of sodium daily dietary intake in men (in mg/day) and percentage contribution (%) of each food to total intake. Table S3: Distribution of sodium daily dietary intake in women (in mg/day) and percentage contribution (%) of each food to total intake. Table S4: Distribution of potassium daily dietary intake in men (in mg/day) and percentage contribution (%) of each food to total intake. Supplemental Table S5: Distribution of potassium daily dietary intake in women (in mg/day) and percentage contribution (%) of each food to total intake.

Author Contributions

Conceptualization, M.V. and T.F.; data curation, C.M. (Carlotta Malagoli), L.V., M.M., and T.F.; formal analysis, L.V., M.M., and T.F.; funding acquisition, C.M. (Cristina Marchesi) and M.V.; investigation/methodology, A.N., C.M. (Carlotta Malagoli), L.V., and S.J.F.-T.; roles/writing—original draft, A.N., M.M., M.V., S.J.F.-T., and T.F.; writing—review and editing, all authors. All authors have read and agreed to the published version of the manuscript.

Funding

Filippini, Malavolti, and Vinceti were supported by the ‘Dipartimenti di Eccellenza 2018–2022’ grant to the UNIMORE Department of Biomedical, Metabolic, and Neural Sciences from the Italian Ministry of Education, University, and Research. Filippini was supported by grant ‘UNIMORE FAR IMPULSO 2020′ (no. 494/2020) from the University of Modena and Reggio Emilia. Vinceti was supported by the Reggio Emilia Health Authority of the National Health Service.

Institutional Review Board Statement

The study was conducted according to the guidelines of the Declaration of Helsinki after the approval of the Modena Ethics Committee (project no. 71.11/2011).

Informed Consent Statement

Informed consent was obtained from all subjects involved in the study.

Data Availability Statement

The data presented in this study are available on reasonable request from the corresponding author. The data are not publicly available due to privacy reasons.

Conflicts of Interest

The authors declare no conflict of interest. The funders had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript, or in the decision to publish the results.

Footnotes

Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.

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Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

Data Availability Statement

The data presented in this study are available on reasonable request from the corresponding author. The data are not publicly available due to privacy reasons.


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