Abstract
The regular consumption of net acid-producing diets can produce “acid stress” detrimental to human health. Alkalizing diets characterized by a negative potential renal acid load (also called low-PRAL diets (LPD)) enjoy uninterrupted popularity. However, the nutritional adequacy of said diets has rarely been assessed in large populations. Using data from the National Health and Nutrition Examination Surveys, we estimated nutrient intake in individuals consuming an LPD and contrasted the results in an age- and sex-specific manner to individuals on an acidifying diet (high-PRAL diet, HPD). Both groups were compared with the daily nutritional goals (DNG) specified in the 2020–2025 Dietary Guidelines for Americans (DGA). Our analysis included 29,683 individuals, including 7234 participants on an LPD and 22,449 participants on an HPD. Individuals on an LPD numerically met more nutritional goals than individuals on an HPD, yet both failed to meet the goals for several nutrients of public health concern (vitamin D and calcium). As opposed to individuals on an HPD, LPD consumers met the DGA recommendations for saturated fat and potassium. Individuals on an LPD consumed significantly more fiber than individuals on an HPD, as well as yielded a more favorable potassium-to-sodium intake ratio.
Keywords: alkaline diet, potential renal acid load, low-PRAL diet, macronutrients, minerals, vitamins, deficiencies, ash–alkaline diet
1. Introduction
Consumption of a net acid-producing diet can produce “acid stress” detrimental to human health [1,2]. Progressive acid accumulation subsequent to a high intake of acid precursors and impaired buffer mechanisms can alter the systemic acid–base balance [3,4]. Chronic low-grade acid accumulation has been associated with cardiometabolic diseases [5,6,7], renal disorders [8,9,10], and various cancer types [11,12,13,14].
There is now compelling evidence that a diet rich in fruits and vegetables beneficially affects dietary acid load (DAL) [15,16]. DAL is determined by the net balance of acidifying foods and alkalizing foods [16]. One of the most commonly employed DAL estimates is potential renal acid load (PRAL) [17]. The PRAL value is an established method to estimate the potential acid load of foods (usually in mEq/100g edible food) [17]. The PRAL concept is physiologically based, and it was developed more than two decades ago by Remer and Manz [17,18]. Positive overall PRAL scores (>0 mEq/day) indicate a net acidifying diet, whereas negative overall PRAL scores (<0 mEq/day) indicate an alkalizing diet.
Said alkalizing diets (also called low-PRAL diets (LPD) or alkali–ash diets) enjoy uninterrupted popularity [19]. Adherence to LPD has been associated with several health benefits, including an improved potassium-to-sodium ratio, reduced muscle wasting, and increased intracellular magnesium concentrations [19]. Compared to LPD, diets with a high acid load may be detrimental to human health—particularly in the elderly [20]. A Korean study in middle-aged and older Korean adults found a positive association between a higher DAL and the incidence of hyperuricemia [21]. A study by Li et al. revealed a positive association between a higher DAL and the risk of hip fractures in an elderly Chinese population [22]. Kataya et al. reported positive associations with the prevalence of frailty (particularly slowness/weakness and low physical activity) in older Japanese women [23].
LPD are characterized by a high intake of alkalizing foods (vegetables, fruits, legumes, various nuts, and seeds) and limited amounts of meat and dairy products, which are abundant in acid precursors (mainly sulfur-containing amino acids (cysteine, homocysteine, and methionine) and preservative phosphate)) [24,25,26].
Although several studies emphasized that alkaline diets may exert beneficial effects toward human health [27,28], some studies also reported that excess diet alkalinity may be detrimental [29,30]. Notably, the nutritional adequacy of alkalizing diets has rarely been assessed in large populations. Whether alkaline diets are in line with current dietary guidelines is virtually unknown.
Using nationally representative cross-sectional data for the US general population, we estimated nutrient intake in individuals consuming an alkalizing diet (an LPD with a PRAL-sum <0 mEq/day) and contrasted the results in an age- and sex-specific manner to individuals on an acidifying diet (PRAL-sum >0 mEq/day). We also contrasted both groups to the daily nutritional goals (DNGs) specified in the current 2020–2025 Dietary Guidelines for Americans (DGA) [31]. The main aim was to investigate for which nutrients the DNGs were met, and for which nutrients an insufficient (or excessive) intake occurred.
2. Materials and Methods
2.1. The NHANES
The NHANES is a cross-sectional and nationally representative US-based program of studies designed to assess the health and nutritional status of noninstitutionalized citizens in the United States [32,33]. NHANES is conducted by the National Center for Health Statistics, which is part of the Centers for Disease Control and Prevention. The survey encompasses approximately 5000 participants per annum, and it includes demographic, dietary, socioeconomic, and health-related interview questions. All interviews are standardized and conducted in participants’ homes. Health measurements and instrumental diagnostic procedures are performed in specially equipped and designed mobile examination centers. A detailed description of the NHANES may be obtained from the official NHANES homepage (https://www.cdc.gov/nchs/nhanes/index.htm) (accessed on 11 December 2022) [33].
2.2. Study Population and DAL Assessment
For the current study, we merged and appended multiple NHANES modules, including the dietary interview module and the demographics public release file [34,35]. All estimates of energy and nutrient intakes were obtained from the first day of the dietary recall. Information on all nutrients, minerals, and vitamins displayed in the DNGs (Table A1-2) in the current DGA were extracted (page 131) [31]. Atwater’s values for the metabolizable energy of macronutrients were used to calculate the percentage of total energy from each macronutrient [36,37].
An alkaline diet (LPD) was defined by a total PRAL-value <0 mEq/day (negative PRAL value). An acidifying diet (high-PRAL diet (HPD) was defined by a total PRAL-value ≥0 mEq/day (positive PRAL value).
PRAL was calculated using the following formula [17]:
| PRAL (mEq/day) = (0.49 × total protein (g/day)) + (0.037 × phosphorus (mg/day)) − (0.021 × potassium (mg/day)) − (0.026 × magnesium (mg/day)) − (0.013 × calcium (mg/day)). | (1) |
This formula by Remer et al. takes into account ionic dissociation, intestinal absorption rates for the included micro- and macronutrients and sulfur metabolism [17,18]. Previous studies in healthy individuals demonstrated a moderate-to-strong correlation between the PRAL score and urinary pH.
We excluded all participants with an implausible energy intake (either ≤800 kcal/day or ≥5000 kcal/day) and implausible PRAL-values (<−100 mEq/day or >100 mEq/day). No data imputation took place, and participants with missing data on any nutrient relevant for the current were excluded. Nutrient intake profiles of both groups were then descriptively compared to the DNGs in the current DGA.
2.3. Dietary Guidelines for Americans
The DGA aim to provide food-based recommendations to promote health and to help prevent diet-related diseases [31,38]. Published by the US Department of Agriculture and the US Department of Health and Human Services, the DGA are a central element of US Federal nutrition policy and nutrition education activities. The current version of the DGA has 164 pages and intends to guide nutrition and health professionals to support all individuals consume a healthy, nutritionally adequate diet. A special section is dedicated to dietary components of public health concern for underconsumption (page 36 pp) [31]. Specific age- and sex-based recommendations can be found in the appendix (page 131 pp) [31,38]. DNGs are available for females and males, stratified by specific age groups. These include (I) individuals aged 19–30 years, (II) individuals aged 31–50 years, and (III) individuals aged 51 years or older. For the present analysis, we used this classification and descriptively compared nutrient intake in adult NHANES participants on an LPD/HPs with the DNGs stratified by age-sex groups.
As discussed in detail in one of our previous publications [39], the DNGs in the current DGA stem from various sources. In brief, concepts and sources include adequate intake (AI), acceptable macronutrient distribution range (AMDR), chronic disease reduction level (CDRR), dietary guidelines for Americans (DGA), and the recommended dietary allowance (RDA).
The present analysis considers all nutrients, vitamins, and minerals included in the DNGs Table A1-2 of the current DGA (2020–2025) [31]. Nutrients included the three macronutrients (reported in g/day and in %/total kcal intake), saturated fat, fiber, and two polyunsaturated fatty acids (linoleic acid and linolenic acid). Vitamins included vitamin A, B1, B2, B3, B6, B12, C, E, K, and folate. Minerals encompassed calcium, iron, magnesium, phosphorus, potassium, sodium, and zinc.
2.4. Statistics
The NHANES sample is selected through a complex, multistage probability design [32]. We used the appropriate Stata survey commands for all statistical procedures in order to account for population weights and the complex. All statistical analyses were conducted in Stata software version 14 (StataCorp., College Stadion, TX, USA). We performed unconditional subclass analyses (preserving the main survey design and providing larger standard errors) to estimate nutrient intake in individuals on an LPD. Six NHANES survey cycles were appended (2007–2008, 2009–2010, 2011–2012, 2013–2014, 2015–2016, and 2017–2018) to increase the total sample size.
We described normally distributed variables with their mean and standard error in parentheses. Categorical variables were described with the number of observations (n) and with weighted proportions (with their corresponding standard error) in parentheses.
To allow for a more convenient comparison between estimated nutrient intakes in participants on an LPD/HPD and the DNGs in the DGA, we used color coding for all tables. A red-colored box indicates a violation of the DGA recommendations. As indicated by the arrow direction, this could be either an insufficient intake (shown by an arrow pointing downward) or an excessive intake (shown by an arrow pointing upward). Green color indicates that the observed intake was in accordance with the DNG. For energy intake, we used orange color coding.
We performed all comparisons in an entirely descriptive way without statistical testing with the exception of a final comparison of nutrient intake the entire sample across PRAL-quartiles. For this, we used Stata’s design-adjusted Wald test to examine potential differences across the four PRAL quartiles. All tests were two-sided, and statistical significance was determined at α = 0.05.
3. Results
3.1. Sample Characteristics
The total study sample comprised n = 29,683 individuals, including n = 7234 participants on an LPD and n = 22,449 participants on an HPD. Table 1 shows the sample characteristics in detail. The weighted proportion of females on an LPD was significantly higher as compared to males (59.45% vs. 40.55%). Participants’ ethnicity is also shown in Table 1. Of note, significant intergroup differences in the weighted proportions were observed for non-Hispanic Whites, Mexican Americans, and non-Hispanic Blacks.
Table 1.
Sample characteristics. The sample included n = 7234 participants on an LPD and n = 22,449 participants on an HPD.
| Individuals on an LPD | Individuals on an HPD | |||||
|---|---|---|---|---|---|---|
| Number of Observations (n) | Weighted Proportion (%) | ±SE | Number of Observations (n) | Weighted Proportion (%) | ±SE | |
| Age | ||||||
| 19–30 years | n = 985 | 15.15 | 0.80 | n = 5009 | 24.29 | 0.67 |
| 31–50 years | n = 2030 | 30.97 | 0.97 | n = 7709 | 36.30 | 0.65 |
| 51 years and older | n = 4219 | 53.88 | 1.21 | n = 9731 | 39.41 | 0.70 |
| Sex | ||||||
| Male | n = 3033 | 40.55 | 0.73 | n = 11,487 | 50.78 | 0.43 |
| Female | n = 4201 | 59.45 | 0.73 | n = 10,962 | 49.22 | 0.43 |
| Race/Ethnicity | ||||||
| Mexican American | n = 898 | 6.74 | 0.64 | n = 3637 | 9.42 | 0.83 |
| Other Hispanic | n = 844 | 5.86 | 0.53 | n = 2236 | 5.78 | 0.46 |
| Non-Hispanic White | n = 3274 | 69.44 | 1.55 | n = 9096 | 65.30 | 1.42 |
| Non-Hispanic Black | n = 1291 | 9.24 | 0.69 | n = 5002 | 11.75 | 0.78 |
| Other Race—including multiracial | n = 927 | 8.72 | 0.57 | n = 2478 | 7.76 | 0.45 |
The mean PRAL of individuals on an LPD was −12.67 (0.23) mEq/day, indicating an alkalizing potential. The mean PRAL of individuals on an HPD was 23.35 (0.20) mEq/day, indicating acidifying properties.
3.2. Macronutrient and Fiber Intake
Macronutrient and fiber intake of participants on an LPD in comparison to the DNGs in the current DGA is displayed in Table 2 (males) and Table 3 (females).
Table 2.
Macronutrient and fiber intake in males following an LPD compared to the DNGs in the 2020–2025 DGA stratified by age group.
| Macronutrients and Fiber | Source of Goal | LPD M 19–30 | DGA M 19–30 | DNG Met? |
LPD M 31–50 | DGA M 31–50 | DNG Met? |
LPD M 51+ | DGA M 51+ | DNG Met? | |||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Mean | ±SE | Mean | ±SE | Mean | ±SE | ||||||||
| Energy intake (kcal/day) | 2355.71 | 78.43 | 2400 | ↓ | 2355.34 | 49.19 | 2200 | ↑ | 2079.86 | 28.11 | 2000 | ↑ | |
| Protein (% kcal) | AMDR | 12.29 | 0.24 | 10–35 | 12.92 | 0.22 | 10–35 | 13.69 | 0.16 | 10–35 | |||
| Protein (g) | RDA | 71.34 | 2.46 | 56 | ↑ | 74.39 | 1.83 | 56 | ↑ | 69.31 | 0.80 | 56 | ↑ |
| Carbohydrate (% kcal) | AMDR | 56.31 | 0.91 | 45–65 | 54 | 0.58 | 45–65 | 52.54 | 0.46 | 45–65 | |||
| Carbohydrate (g) | RDA | 327.39 | 11.82 | 130 | ↑ | 314.20 | 6.02 | 130 | ↑ | 270.28 | 3.55 | 130 | ↑ |
| Fiber (g) | 14 g/1000 kcal | 22.67 | 0.88 | 34 | ↓ | 23.73 | 0.73 | 31 | ↓ | 21.53 | 0.46 | 28 | ↓ |
| Total lipid (% kcal) | AMDR | 30.28 | 0.49 | 20–35 | 30.28 | 0.49 | 20–35 | 32.08 | 0.44 | 20–35 | |||
| Saturated fatty acids (% kcal) | DGA | 8.78 | 0.25 | <10 | 9.25 | 0.19 | <10 | 10.05 | 0.15 | <10 | ↑ | ||
| 18:2 linoleic acid (g) | AI | 17.33 | 0.91 | 17 | 17.51 | 0.71 | 17 | 16.30 | 0.49 | 14 | |||
| 18:3 linolenic acid (g) | AI | 1.63 | 0.09 | 1.6 | 1.81 | 0.09 | 1.6 | 1.84 | 0.06 | 1.6 | |||
AMDR = acceptable macronutrient distribution range, RDA = recommended dietary allowance, AI = adequate intake. Green-colored boxes indicate a nutrient intake in accordance with the DNG, whereas red-colored boxes indicate a violation of the DNG recommendations.
Table 3.
Macronutrient and fiber intake in females following an LPD compared to the DNGs in the 2020–2025 DGA stratified by age group.
| Macronutrients and Fiber | Source of Goal | LPD F 19–30 | DGA F 19–30 | DNG Met? |
LPD F 31–50 | DGA F 31–50 | DNG Met? |
LPD F 51+ | DGA F 51+ | DNG Met? | |||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Mean | ±SE | Mean | ±SE | Mean | ±SE | ||||||||
| Energy intake (kcal/day) | 1767.41 | 33.70 | 2000 | ↓ | 1763.64 | 26 | 1800 | ↓ | 1621.48 | 13.57 | 1600 | ↑ | |
| Protein (% kcal) | AMDR | 12.36 | 0.27 | 10–35 | 12.97 | 0.16 | 10–35 | 13.76 | 0.13 | 10–35 | |||
| Protein (g) | RDA | 53.08 | 1.25 | 46 | ↑ | 55.89 | 0.91 | 46 | ↑ | 54.76 | 0.65 | 46 | ↑ |
| Carbohydrate (% kcal) | AMDR | 55.16 | 0.67 | 45–65 | 55.34 | 0.42 | 45–65 | 53.63 | 0.38 | 45–65 | |||
| Carbohydrate (g) | RDA | 241.85 | 5.07 | 130 | ↑ | 242.53 | 3.81 | 130 | ↑ | 216.02 | 2.36 | 130 | ↑ |
| Fiber (g) | 14 g/1000 kcal | 17.55 | 0.51 | 28 | ↓ | 19.40 | 0.53 | 25 | ↓ | 18.48 | 0.28 | 22 | ↓ |
| Total lipid (% kcal) | AMDR | 31.39 | 0.33 | 20–35 | 31.39 | 0.33 | 20–35 | 32.25 | 0.29 | 20–35 | |||
| Saturated fatty acids (% kcal) | DGA | 9.68 | 0.21 | <10 | 9.63 | 0.13 | <10 | 10.09 | 0.12 | <10 | ↑ | ||
| 18:2 linoleic acid (g) | AI | 13.65 | 0.43 | 12 | 13.78 | 0.32 | 12 | 12.81 | 0.19 | 11 | |||
| 18:3 linolenic acid (g) | AI | 1.45 | 0.05 | 1.1 | 1.58 | 0.05 | 1.1 | 1.47 | 0.03 | 1.1 | |||
AMDR = acceptable macronutrient distribution range, RDA = recommended dietary allowance, AI = adequate intake. Green-colored boxes indicate a nutrient intake in accordance with the DNG, whereas red-colored boxes indicate a violation of the DNG recommendations.
Both sexes met the macronutrient goals (AMDR) in the current DGA. Moreover, both sexes met the DGA recommendations for saturated fat intake. As expected, males on an LPD had a higher total energy intake as compared to females. The data also suggest that both sexes failed to meet the daily nutritional goals for fiber.
In a similar pattern, Table 4 and Table 5 display macronutrient and fiber intake in males (Table 4) and females (Table 5) on an HPD.
Table 4.
Macronutrient and fiber intake in males following an HPD compared to the DNG in the 2020–2025 DGA stratified by age group.
| Macronutrients and Fiber | Source of Goal | HPD M 19–30 | DGA M 19–30 | DNG Met? |
HPD M 31–50 | DGA M 31–50 | DNG Met? |
HPD M 51+ | DGA M 51+ | DNG Met? | |||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Mean | ±SE | Mean | ±SE | Mean | ±SE | ||||||||
| Energy intake (kcal/day) | 2560.34 | 25.30 | 2400 | ↑ | 2615.78 | 21.57 | 2200 | ↑ | 2337.45 | 18.35 | 2000 | ↑ | |
| Protein (% kcal) | AMDR | 16.42 | 0.17 | 10–35 | 16.65 | 0.12 | 10–35 | 16.73 | 0.12 | 10–35 | |||
| Protein (g) | RDA | 102.39 | 1.39 | 56 | ↑ | 105.77 | 0.98 | 56 | ↑ | 95.33 | 0.80 | 56 | ↑ |
| Carbohydrate (% kcal) | AMDR | 46.79 | 0.30 | 45–65 | 45.39 | 0.23 | 45–65 | 44.82 | 0.22 | 45–65 | |||
| Carbohydrate (g) | RDA | 298.36 | 3.64 | 130 | ↑ | 295.91 | 3.01 | 130 | ↑ | 261.17 | 2.39 | 130 | ↑ |
| Fiber (g) | 14 g/1000 kcal | 16.82 | 0.32 | 34 | ↓ | 18.13 | 0.27 | 31 | ↓ | 17.63 | 0.26 | 28 | ↓ |
| Total lipid (% kcal) | AMDR | 33.90 | 0.2 | 20–35 | 34.73 | 0.21 | 20–35 | 36.10 | 0.18 | 20–35 | ↑ | ||
| Saturated fatty acids (% kcal) | DGA | 11.27 | 0.10 | <10 | ↑ | 11.41 | 0.09 | <10 | ↑ | 11.76 | 0.08 | <10 | ↑ |
| 18:2 linoleic acid (g) | AI | 19.09 | 0.33 | 17 | 19.86 | 0.25 | 17 | 18.83 | 0.26 | 14 | |||
| 18:3 linolenic acid (g) | AI | 1.93 | 0.04 | 1.6 | 1.98 | 0.03 | 1.6 | 1.96 | 0.04 | 1.6 | |||
AMDR = acceptable macronutrient distribution range, RDA: recommended dietary allowance, AI = adequate intake. Green-colored boxes indicate a nutrient intake in accordance with the DNG, whereas red-colored boxes indicate a violation of the DNG recommendations.
Table 5.
Macronutrient and fiber intake in females following an HPD compared to the DNG in the 2020–2025 DGA stratified by age group.
| Macronutrients and Fiber | Source of Goal | HPD F 19–30 | DGA F 19–30 | DNG Met? |
HPD F 31–50 | DGA F 31–50 | DNG Met? |
HPD F 51+ | DGA F 51+ | DNG Met? | |||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Mean | ±SE | Mean | ±SE | Mean | ±SE | ||||||||
| Energy intake (kcal/day) | 2011.11 | 17.31 | 2000 | ↑ | 1988.65 | 14.57 | 1800 | ↑ | 1823.75 | 16.12 | 1600 | ↑ | |
| Protein (% kcal) | AMDR | 15.72 | 0.13 | 10–35 | 16.31 | 0.10 | 10–35 | 16.72 | 0.12 | 10–35 | |||
| Protein (g) | RDA | 76.85 | 0.76 | 46 | ↑ | 78.58 | 0.63 | 46 | ↑ | 73.91 | 0.71 | 46 | ↑ |
| Carbohydrate (% kcal) | AMDR | 48.26 | 0.29 | 45–65 | 47.14 | 0.28 | 45–65 | 46.08 | 0.30 | 45–65 | |||
| Carbohydrate (g) | RDA | 242.45 | 2.59 | 130 | ↑ | 232.96 | 2.08 | 130 | ↑ | 209.91 | 2.32 | 130 | ↑ |
| Fiber (g) | 14 g/1000 kcal | 14.02 | 0.24 | 28 | ↓ | 15.07 | 0.21 | 25 | ↓ | 14.78 | 0.20 | 22 | ↓ |
| Total lipid (% kcal) | AMDR | 35.01 | 0.24 | 20–35 | ↑ | 35.12 | 0.20 | 20–35 | ↑ | 36.59 | 0.23 | 20–35 | ↑ |
| Saturated fatty acids (% kcal) | DGA | 11.65 | 0.10 | <10 | ↑ | 11.58 | 0.10 | <10 | ↑ | 11.92 | 0.10 | <10 | ↑ |
| 18:2 linoleic acid (g) | AI | 15.98 | 0.25 | 12 | 16.06 | 0.20 | 12 | 15.49 | 0.20 | 11 | |||
| 18:3 linolenic acid (g) | AI | 1.64 | 0.03 | 1.1 | 1.62 | 0.02 | 1.1 | 1.67 | 0.03 | 1.1 | |||
AMDR = acceptable macronutrient distribution range, RDA: recommended dietary allowance, AI = adequate intake. Green-colored boxes indicate a nutrient intake in accordance with the DNG, whereas red-colored boxes indicate a violation of the DNG recommendations.
Unlike participants on an LPD, males aged 51 years or older did not meet the macronutrient goals (AMDR) for total fat intake. A similar pattern was observed for females across all age groups. Additionally, said individuals did not meet the DGA recommendations for saturated fatty acid intake (Table 4 and Table 5). Fiber intake in participants on an HPD was substantially lower as compared to individuals on an LPD, particularly in males.
3.3. Mineral and Vitamin Intake
Table 6, Table 7, Table 8 and Table 9 show mineral and vitamin intake in participants on an LPD (Table 6 and Table 7) and on an HPD (Table 8 and Table 9).
Table 6.
Mineral and vitamin intake in males following an LPD compared to the DNG in the 2020–2025 DGA stratified by age group.
| Minerals and Vitamins | Unit | Source of Goal | LPD M 19–30 | DGA M 19–30 | DNG | LPD M 31–50 | DGA M 31–50 | DNG | LPD M 51+ | DGA M 51+ | DNG | |||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Mean | ±SE | Mean | ±SE | Mean | ±SE | |||||||||
| Calcium | mg | RDA | 1077.38 | 51.44 | 1000 | 1027.21 | 26.66 | 1000 | 970.98 | 16.90 | 1000 | ↓ | ||
| Iron | mg | RDA | 16.54 | 0.75 | 8 | 16.42 | 0.31 | 8 | 15.89 | 0.28 | 8 | |||
| Magnesium | mg | RDA | 382.94 | 14.88 | 400 | ↓ | 390.79 | 9.18 | 420 | ↓ | 351.71 | 5.71 | 420 | ↓ |
| Phosphorus | mg | RDA | 1326.33 | 46.81 | 700 | 1363.79 | 31.59 | 700 | 1276.85 | 16.71 | 700 | |||
| Potassium | mg | AI | 3468.22 | 105.92 | 3400 | 3651.62 | 69.98 | 3400 | 3465.28 | 44.06 | 3400 | |||
| Sodium | mg | CDRR | 3566.41 | 136.48 | 2300 | ↑ | 3580.35 | 94.59 | 2300 | ↑ | 3224.19 | 44.61 | 2300 | ↑ |
| Zinc | mg | RDA | 11.09 | 0.47 | 11 | 11.12 | 0.27 | 11 | 10.81 | 0.18 | 11 | ↓ | ||
| Vitamin A | mcg RAEd | RDA | 624.025 | 46.90 | 900 | ↓ | 790.18 | 44.03 | 900 | ↓ | 754.47 | 20.95 | 900 | ↓ |
| Vitamin E | mg ATd | RDA | 11.07 | 0.87 | 15 | ↓ | 10.89 | 0.54 | 15 | ↓ | 9.44 | 0.24 | 15 | ↓ |
| Vitamin D | IUDd | RDA | 4.63 mcg | 0.41 | 600 | ↓ | 4.53 mcg | 0.27 | 600 | ↓ | 4.77 mcg | 0.15 | 600 | ↓ |
| Vitamin C | mg | RDA | 174.53 | 13.98 | 90 | 148.83 | 6.75 | 90 | 131.69 | 5.16 | 90 | |||
| Thiamin | mg | RDA | 1.78 | 0.07 | 1.2 | 2.35 | 0.05 | 1.2 | 1.68 | 0.03 | 1.2 | |||
| Riboflavin | mg | RDA | 2.19 | 0.10 | 1.3 | 2.74 | 0.22 | 1.3 | 2.38 | 0.04 | 1.3 | |||
| Niacin | mg | RDA | 27.58 | 1.16 | 16 | 27.19 | 0.74 | 16 | 24.13 | 0.35 | 16 | |||
| Vitamin B-6 | mg | RDA | 2.65 | 0.15 | 1.3 | 2.59 | 0.08 | 1.3 | 2.28 | 0.05 | 1.7 | |||
| Vitamin B-12 | mcg | RDA | 4.61 | 0.31 | 2.4 | 4.68 | 0.24 | 2.4 | 4.52 | 0.14 | 2.4 | |||
| Choline | mg | AI | 311.74 | 13.39 | 550 | ↓ | 321.61 | 6.33 | 550 | ↓ | 324.01 | 5.29 | 550 | ↓ |
| Vitamin K | mcg | AI | 138.04 | 14.49 | 120 | 143.20 | 8.57 | 120 | 146.51 | 6.54 | 120 | |||
| Folate | mcg DFEd | RDA | 651.39 | 31.63 | 400 | 623.41 | 19.85 | 400 | 591.74 | 12.11 | 400 | |||
CDRR = chronic disease reduction level, RDA: recommended dietary allowance, AI = adequate intake. Green-colored boxes indicate a nutrient intake in accordance with the DNG, whereas red-colored boxes indicate a violation of the DNG recommendations.
Table 7.
Mineral and vitamin intake in females following an LPD compared to the DNG in the 2020–2025 DGA stratified by age group.
| Minerals and Vitamins | Unit | Source of Goal | LPD F 19–30 | DGA F 19–30 | DNG | LPD F 31–50 | DGA F 31–50 | DNG | LPD F 51+ | DGA F 51+ | DNG | |||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Mean | ±SE | Mean | ±SE | Mean | ±SE | |||||||||
| Calcium | mg | RDA | 825.10 | 51.44 | 1000 | ↓ | 859.66 | 21.31 | 1000 | ↓ | 841.93 | 12.98 | 1200 | ↓ |
| Iron | mg | RDA | 11.95 | 0.35 | 18 | ↓ | 12.97 | 0.31 | 18 | ↓ | 12.67 | 0.18 | 8 | |
| Magnesium | mg | RDA | 283.18 | 6.57 | 310 | ↓ | 309.479 | 6.84 | 320 | ↓ | 292.15 | 3.13 | 320 | ↓ |
| Phosphorus | mg | RDA | 974.26 | 22.22 | 700 | 1057.48 | 18.17 | 700 | 1032.93 | 12.54 | 700 | |||
| Potassium | mg | AI | 2655.56 | 53.75 | 2600 | 2845.94 | 51.72 | 2600 | 2800.87 | 31.06 | 2600 | |||
| Sodium | mg | CDRR | 2612.77 | 66.60 | 2300 | ↑ | 2656.61 | 51.25 | 2300 | ↑ | 2491.67 | 28.95 | 2300 | ↑ |
| Zinc | mg | RDA | 8.13 | 0.25 | 8 | 8.52 | 0.17 | 8 | 8.64 | 0.14 | 8 | |||
| Vitamin A | mcg RAEd | RDA | 624.27 | 31.59 | 700 | ↓ | 723.57 | 44.73 | 700 | 704.22 | 17.27 | 700 | ||
| Vitamin E | mg ATd | RDA | 8.51 | 0.36 | 15 | ↓ | 8.64 | 0.28 | 15 | ↓ | 8.326 | 0.20 | 15 | ↓ |
| Vitamin D | IUDd | RDA | 3.19 mcg | 0.17 | 600 | ↓ | 3.49 mcg | 0.13 | 600 | ↓ | 3.94 mcg | 0.09 | 600 | ↓ |
| Vitamin C | mg | RDA | 130.32 | 6.98 | 75 | 115.98 | 4.17 | 75 | 77.98 | 7.34 | 75 | |||
| Thiamin | mg | RDA | 1.32 | 0.04 | 1.1 | 1.37 | 0.03 | 1.1 | 1.35 | 0.02 | 1.1 | |||
| Riboflavin | mg | RDA | 1.74 | 0.07 | 1.1 | 1.85 | 0.04 | 1.1 | 1.87 | 0.02 | 1.1 | |||
| Niacin | mg | RDA | 19.85 | 0.61 | 14 | 18.94 | 0.33 | 14 | 18.45 | 0.25 | 14 | |||
| Vitamin B-6 | mg | RDA | 2.00 | 0.07 | 1.3 | 1.85 | 0.05 | 1.3 | 1.77 | 0.03 | 1.5 | |||
| Vitamin B-12 | mcg | RDA | 3.53 | 0.18 | 2.4 | 3.42 | 0.12 | 2.4 | 3.53 | 0.09 | 2.4 | |||
| Choline | mg | AI | 228.92 | 7.78 | 425 | ↓ | 239.16 | 4.82 | 425 | ↓ | 242.79 | 3.48 | 425 | ↓ |
| Vitamin K | mcg | AI | 158.18 | 10.91 | 90 | 182.29 | 15.62 | 90 | 152.40 | 5.50 | 90 | |||
| Folate | mcg DFEd | RDA | 469.68 | 16.68 | 400 | 490.07 | 13.12 | 400 | 473.61 | 7.96 | 400 | |||
CDRR = chronic disease reduction level, RDA: recommended dietary allowance, AI = adequate intake. Green-colored boxes indicate a nutrient intake in accordance with the DNG, whereas red-colored boxes indicate a violation of the DNG recommendations.
Table 8.
Mineral and vitamin intake in males following an HPD compared to the DNG in the 2020–2025 DGA stratified by age group.
| Minerals and Vitamins | Unit | Source of Goal | HPD M 19–30 | DGA M 19–30 | DNG | HPD M 31–50 | DGA M 31–50 | DNG | HPD M 51+ | DGA M 51+ | DNG | |||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Mean | ±SE | Mean | ±SE | Mean | ±SE | |||||||||
| Calcium | mg | RDA | 1164.73 | 18.83 | 1000 | 1115.43 | 16.39 | 1000 | 999.32 | 13.70 | 1000 | ↓ | ||
| Iron | mg | RDA | 16.88 | 0.25 | 8 | 17.09 | 0.22 | 8 | 16.51 | 0.19 | 8 | |||
| Magnesium | mg | RDA | 319.97 | 5.01 | 400 | ↓ | 342.00 | 3.48 | 420 | ↓ | 324.22 | 3.50 | 420 | ↓ |
| Phosphorus | mg | RDA | 1659.74 | 20.23 | 700 | 1714.72 | 16.61 | 700 | 1550.13 | 13.74 | 700 | |||
| Potassium | mg | AI | 2697.90 | 38.44 | 3400 | ↓ | 2949.18 | 27.09 | 3400 | ↓ | 2866.85 | 26.52 | 3400 | ↓ |
| Sodium | mg | CDRR | 4342.44 | 55.65 | 2300 | ↑ | 4416.37 | 44.20 | 2300 | ↑ | 3965.69 | 36.70 | 2300 | ↑ |
| Zinc | mg | RDA | 13.86 | 0.22 | 11 | 14.42 | 0.20 | 11 | 13.35 | 0.25 | 11 | |||
| Vitamin A | mcg RAEd | RDA | 619.97 | 15.59 | 900 | ↓ | 637.46 | 12.94 | 900 | ↓ | 685.86 | 29.73 | 900 | ↓ |
| Vitamin E | mg ATd | RDA | 9.07 | 0.23 | 15 | ↓ | 9.66 | 0.17 | 15 | ↓ | 9.32 | 0.14 | 15 | ↓ |
| Vitamin D | IUDd | RDA | 4.99 mcg | 0.16 | 600 | ↓ | 5.19 mcg | 0.17 | 600 | ↓ | 5.47 mcg | 0.15 | 600 | ↓ |
| Vitamin C | mg | RDA | 74.69 | 2.53 | 90 | ↓ | 71.05 | 1.82 | 90 | ↓ | 71.03 | 1.32 | 90 | ↓ |
| Thiamin | mg | RDA | 1.94 | 0.04 | 1.2 | 1.90 | 0.02 | 1.2 | 1.81 | 0.02 | 1.2 | |||
| Riboflavin | mg | RDA | 2.44 | 0.05 | 1.3 | 2.61 | 0.05 | 1.3 | 2.40 | 0.04 | 1.3 | |||
| Niacin | mg | RDA | 33.68 | 0.59 | 16 | 33.57 | 0.48 | 16 | 28.77 | 0.30 | 16 | |||
| Vitamin B-6 | mg | RDA | 2.66 | 0.07 | 1.3 | 2.67 | 0.06 | 1.3 | 2.25 | 0.03 | 1.7 | |||
| Vitamin B-12 | mcg | RDA | 6.41 | 0.16 | 2.4 | 6.62 | 0.16 | 2.4 | 6.14 | 0.29 | 2.4 | |||
| Choline | mg | AI | 384.92 | 6.01 | 550 | ↓ | 423.34 | 4.73 | 550 | ↓ | 396.04 | 3.78 | 550 | ↓ |
| Vitamin K | mcg | AI | 95.83 | 3.81 | 120 | ↓ | 111.48 | 3.98 | 120 | ↓ | 111.53 | 3.01 | 120 | ↓ |
| Folate | mcg DFEd | RDA | 627.40 | 12.68 | 400 | 600.64 | 9.48 | 400 | 562.80 | 8.08 | 400 | |||
CDRR = chronic disease reduction level, RDA: recommended dietary allowance, AI = adequate intake. Green-colored boxes indicate a nutrient intake in accordance with the DNG, whereas red-colored boxes indicate a violation of the DNG recommendations.
Table 9.
Mineral and vitamin intake in females following an HPD compared to the DNGs in the 2020–2025 DGA stratified by age group.
| Minerals and Vitamins | Unit | Source of Goal | HPD F 19–30 | DGA F 19–30 | DNG | HPD F 31–50 | DGA F 31–50 | DNG | HPD F 51+ | DGA F 51+ | DNG | |||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Mean | ±SE | Mean | ±SE | Mean | ±SE | |||||||||
| Calcium | mg | RDA | 930.72 | 12.83 | 1000 | ↓ | 920.27 | 11.18 | 1000 | ↓ | 848.92 | 12.48 | 1200 | ↓ |
| Iron | mg | RDA | 13.48 | 0.18 | 18 | ↓ | 13.53 | 0.16 | 18 | ↓ | 13.05 | 0.18 | 8 | |
| Magnesium | mg | RDA | 253.63 | 3.43 | 310 | ↓ | 277.94 | 2.88 | 320 | ↓ | 262.34 | 2.93 | 320 | ↓ |
| Phosphorus | mg | RDA | 1287.76 | 12.82 | 700 | 1321.15 | 10.88 | 700 | 1242.87 | 13.47 | 700 | |||
| Potassium | mg | AI | 2153.29 | 25.63 | 2600 | ↓ | 2286.60 | 19.75 | 2600 | ↓ | 2261.30 | 22.64 | 2600 | ↓ |
| Sodium | mg | CDRR | 3406.51 | 32.04 | 2300 | ↑ | 3347.80 | 28.40 | 2300 | ↑ | 3061.10 | 27.59 | 2300 | ↑ |
| Zinc | mg | RDA | 10.37 | 0.11 | 8 | 10.55 | 0.11 | 8 | 9.94 | 0.12 | 8 | ↑ | ||
| Vitamin A | mcg RAEd | RDA | 547.44 | 13.24 | 700 | ↓ | 575.17 | 11.13 | 700 | ↓ | 602.29 | 12.10 | 700 | ↓ |
| Vitamin E | mg ATd | RDA | 7.67 | 0.16 | 15 | ↓ | 8.23 | 0.16 | 15 | ↓ | 7.92 | 0.15 | 15 | ↓ |
| Vitamin D | IUDd | RDA | 4.15 mcg | 0.13 | 600 | ↓ | 4.29 mcg | 0.11 | 600 | ↓ | 4.40 mcg | 0.13 | 600 | ↓ |
| Vitamin C | mg | RDA | 64.18 | 1.94 | 75 | ↓ | 63.68 | 1.76 | 75 | ↓ | 62.21 | 1.21 | 75 | ↓ |
| Thiamin | mg | RDA | 1.50 | 0.02 | 1.1 | 1.46 | 0.02 | 1.1 | 1.39 | 0.02 | 1.1 | |||
| Riboflavin | mg | RDA | 1.86 | 0.03 | 1.1 | 1.95 | 0.02 | 1.1 | 1.87 | 0.02 | 1.1 | |||
| Niacin | mg | RDA | 23.77 | 0.33 | 14 | 23.29 | 0.21 | 14 | 21.34 | 0.26 | 14 | |||
| Vitamin B-6 | mg | RDA | 1.86 | 0.04 | 1.3 | 1.82 | 0.03 | 1.3 | 1.68 | 0.03 | 1.5 | |||
| Vitamin B-12 | mcg | RDA | 4.54 | 0.10 | 2.4 | 4.65 | 0.09 | 2.4 | 4.47 | 0.10 | 2.4 | |||
| Choline | mg | AI | 289.88 | 4.24 | 425 | ↓ | 305.86 | 3.13 | 425 | ↓ | 295.77 | 3.56 | 425 | ↓ |
| Vitamin K | mcg | AI | 92.15 | 3.30 | 90 | 105.08 | 3.43 | 90 | 107.23 | 2.98 | 90 | |||
| Folate | mcg DFEd | RDA | 502.696 | 10.23 | 400 | 479.12 | 6.85 | 400 | 454.13 | 6.66 | 400 | |||
CDRR = chronic disease reduction level, RDA: recommended dietary allowance, AI = adequate intake. Green-colored boxes indicate a nutrient intake in accordance with the DNG, whereas red-colored boxes indicate a violation of the DNG recommendations.
Males on an LPD (Table 6) met the recommendations for iron, phosphorus, and potassium. They also met the recommendations for calcium, except in the age group 51+ years. This pattern was also observed with regard to zinc. Potassium intake exceeded the 3400 mg margin in all age groups. An insufficient intake was observed for vitamins A, E, and D, as well as choline (Table 6).
Notably, we observed a different picture in females on an LPD (Table 7). None of the female age groups met the DNGs for calcium and magnesium. DNGs for iron were only met in females aged 51 years or older. In comparison to males on an LPD, females aged 31 years or older met the DNGs for vitamin A. Similar to males, females did not meet the DNGs for vitamins E and D, as well as choline.
In a similar style, Table 8 and Table 9 show mineral and vitamin intake in participants on an HPD.
When compared to individuals on an LPD, there were several noticeable differences. Neither males (Table 8) nor females (Table 9) met the DNGs for potassium. Sodium intake was substantially higher as compared to individuals on an LPD. A comparable picture was observed for vitamins A, E, D, and C, as well as magnesium and choline. Of note, males on an HPD aged 19 to 50 years did not meet the DNGs for vitamin K.
Lastly, we examined nutrient intake in the entire sample stratified by PRAL-quartiles (Table 10). Quartile intervals are shown in Table 10. Light-blue coloring was used for descending trend across quartiles, whereas orange color indicates an ascending trend across quartiles. Total lipid intake and saturated fatty acid intake significantly increased across quartiles (p < 0.001), whereas carbohydrate and vitamin C intake significantly decreased across quartiles (p < 0.001). As expected, potassium intake substantially decreased over quartiles Q1–Q3, whereas sodium and phosphorus intake increased across quartiles (p < 0.001). Additional significant trends were found for zinc, niacin, choline, and vitamin B12.
Table 10.
Nutrient intake across PRAL-quartiles: an overview.
| Nutrients | Q1 (PRAL: <0.36) |
Q2 (PRAL: 0.36 to 13.33) |
Q3 (PRAL: 13.34 to 27.30) |
Q4 (PRAL: >27.30) |
p-Value | ||||
|---|---|---|---|---|---|---|---|---|---|
| Mean | ±SE | Mean | ±SE | Mean | ±SE | Mean | ±SE | ||
| PRAL (mEq/day) | −12.311 | 0.227 | 7.122 | 0.064 | 19.838 | 0.064 | 43.735 | 0.285 | p < 0.001 |
| Energy intake (kcal/day) | 1898.08 | 13.70 | 1877.05 | 12.05 | 2109.15 | 11.49 | 2669.36 | 14.70 | p < 0.001 |
| Protein (% kcal) | 13.317 | 0.076 | 14.818 | 0.073 | 16.077 | 0.079 | 18.602 | 0.111 | p < 0.001 |
| Carbohydrate (% kcal) | 53.911 | 0.233 | 49.690 | 0.187 | 46.669 | 0.192 | 42.277 | 0.168 | p < 0.001 |
| Total lipid (% kcal) | 31.635 | 0.199 | 33.920 | 0.152 | 35.248 | 0.144 | 36.947 | 0.150 | p < 0.001 |
| Fiber (g) | 20.099 | 0.269 | 15.666 | 0.181 | 15.804 | 0.203 | 17.016 | 0.188 | p < 0.001 |
| Saturated fatty acids (% kcal) | 9.836 | 0.078 | 10.924 | 0.077 | 11.582 | 0.064 | 12.346 | 0.079 | p < 0.001 |
| 18:2 linoleic acid (g) | 14.700 | 0.198 | 14.839 | 0.129 | 16.753 | 0.193 | 21.185 | 0.220 | p < 0.001 |
| 18:3 linolenic acid (g) | 1.624 | 0.027 | 1.548 | 0.018 | 1.724 | 0.023 | 2.143 | 0.026 | p < 0.001 |
| Calcium | 908.651 | 8.942 | 849.205 | 9.362 | 935.993 | 9.013 | 1187.806 | 12.468 | p < 0.001 |
| Iron | 14.102 | 0.154 | 13.198 | 0.116 | 14.393 | 0.118 | 17.697 | 0.136 | p < 0.001 |
| Magnesium | 324.628 | 3.017 | 274.765 | 2.535 | 285.805 | 2.693 | 334.324 | 2.685 | p < 0.001 |
| Phosphorus | 1145.510 | 9.546 | 1168.196 | 9.411 | 1359.695 | 8.643 | 1867.811 | 11.007 | p < 0.001 |
| Potassium | 3077.719 | 22.629 | 2423.967 | 19.629 | 2415.221 | 19.378 | 2820.948 | 20.027 | p < 0.001 |
| Sodium | 2897.185 | 25.780 | 3026.610 | 22.316 | 3491.650 | 22.475 | 4732.316 | 30.405 | p < 0.001 |
| Zinc | 9.528 | 0.096 | 9.750 | 0.099 | 11.234 | 0.086 | 15.351 | 0.147 | p < 0.001 |
| Vitamin A | 717.343 | 14.812 | 568.262 | 9.226 | 579.180 | 8.618 | 698.424 | 17.608 | p < 0.001 |
| Vitamin E | 9.134 | 0.161 | 7.741 | 0.097 | 8.394 | 0.134 | 9.918 | 0.124 | p < 0.001 |
| Vitamin D | 4.083 | 0.065 | 4.055 | 0.075 | 4.542 | 0.092 | 5.766 | 0.135 | p < 0.001 |
| Vitamin C | 126.733 | 2.568 | 74.675 | 1.357 | 64.513 | 1.270 | 62.773 | 1.215 | p < 0.001 |
| Thiamin | 1.501 | 0.014 | 1.439 | 0.013 | 1.578 | 0.013 | 1.979 | 0.018 | p < 0.001 |
| Riboflavin | 2.047 | 0.020 | 1.898 | 0.018 | 2.080 | 0.020 | 2.613 | 0.030 | p < 0.001 |
| Niacin | 21.589 | 0.208 | 21.813 | 0.182 | 25.267 | 0.219 | 34.820 | 0.310 | p < 0.001 |
| Vitamin B-6 | 2.071 | 0.023 | 1.824 | 0.024 | 1.988 | 0.024 | 2.624 | 0.039 | p < 0.001 |
| Vitamin B-12 | 3.950 | 0.064 | 4.263 | 0.085 | 4.989 | 0.065 | 7.229 | 0.188 | p < 0.001 |
| Choline | 273.062 | 2.492 | 278.174 | 2.453 | 324.088 | 2.756 | 454.026 | 3.347 | p < 0.001 |
| Vitamin K | 155.131 | 4.511 | 104.505 | 2.720 | 101.923 | 2.326 | 108.078 | 1.946 | p < 0.001 |
| Folate | 531.103 | 6.861 | 483.626 | 5.738 | 506.063 | 4.851 | 614.846 | 6.499 | p < 0.001 |
Light-blue color indicates a descending trend, whereas orange color indicates an ascending trend.
4. Discussion
The present study assessed nutrient intake in NHANES participants on an LPD in comparison to the daily nutritional goals specified in the current 2020–2025 DGA [31], and in comparison to individuals on an HPD. As opposed to individuals on an HPD, LPD consumers met the recommendations for (saturated) fat and potassium intake (both sexes). Although individuals on an LPD consumed more fiber than individuals on an HPD, they did not meet the daily nutrition goal for fiber in the DGA. Several noticeable and significant trends were observed across PRAL-quartiles, such as a lower sodium and phosphorus intake in individuals on an LPD.
Much has been written in the lay literature on the benefits of the alkaline diet (19), yet, to the best of our knowledge, its nutritional quality has not been assessed in large cross-sectional studies in comparison to current established dietary guidelines. This is important, because alkaline diets attract extensive attention—not only in health-minded healthy individuals but also in patients with chronic noncommunicable diseases.
One of many prominent examples is the prevention and treatment of cancer. Two independent meta-analyses revealed a positive association between a high DAL and various cancer types [40,41]. An elevated DAL has been associated with an increased total mortality and breast cancer-specific mortality in breast cancer survivors [42]. Elevated DAL scores were also significantly associated with inflammation, reduced overall physical health, and poorer glycemic control in said individuals [43,44]. In patients with advanced pancreatic cancer, alkalization therapy may enhance the effects of chemotherapy [45]. Despite the limited number of studies in this field [46], many individuals afflicted with cancer are interested in dietary modifications using alkaline diets.
Here, we assessed the nutritional quality of said LPD/alkaline diets. The mean PRAL of individuals on an LPD was negative (−12.67 (0.23)), indicating clearly alkalizing properties. Individuals on an LPD met more nutritional goals (numerically) than individuals on an HPD, particularly with regard to potassium and fat intake. In line with previous publications [47,48], individuals on an LPD demonstrated a more favorable potassium-to-sodium ratio. Notably, even individuals on an LPD exceeded the recommendations for sodium, and did not meet the DNGs for several nutrients of public health concern, including vitamin D and calcium (particularly in women).
The nutrient intake differences across PRAL-quartiles may be at least partly explained by total energy intake, which varied substantially between quartile 1 and quartile 4 (Table 1). This also results in a significantly higher protein intake in Q2–Q4 as compared to Q4. Protein has the highest weighting factor in the PRAL-formula and may contribute substantially to the PRAL differences across quartiles.
The approximately U-shaped calcium and magnesium intake patterns across quartiles may be surprising at a first glance. However, when adjusting for total intake (not shown), intake for both micronutrients was lower in quartile 4 than in quartile 1. As such, the results are completely in line with the expectations toward an LPD (as opposed to an HPD).
Despite the cross-sectional nature of our data, we conclude that an alkalizing diet is not necessarily healthful and in full accordance with all nutritional goals specified in the DGA. Attention has to be paid with regard to nutrients of public health concern, and supplementation might be warranted—particularly with regard to magnesium.
Strengths of the current analysis include the modest sample size and the nationally representative data set from the National Health and Nutrition Examination Survey. To the best of our knowledge, we are the first group to systematically assess the nutritional quality of LPD in comparison to the current DGA. The large sample allowed for analyses stratified by age–sex groups as found in the 2020–2025 DGA. Weaknesses included the sparse study population characterization and the cross-sectional nature of our data, which did not allow for causal interferences. The group assignment to either an LPD or an HPD (based solely on the PRAL value and the cutoff of 0 mEq/day) is potentially controversial and dogmatic. On the other hand, further breaking down the sample in, for example, a “very alkaline diet group” and a “moderately alkaline group” could introduce bias, as reference ranges for PRAL values are nonexistent and subject to debate. Lastly, one must take into account that the PRAL formula by Remer and Manz does not adjust for energy intake. Diets with a higher energy intake which do not restrict protein would, thus, inevitably result in higher PRAL scores (see Table 10). Although of potential interest, we did not calculate PRAL scores based on energy-adjusted nutrient intakes since the PRAL formula by Remer and Manz has not been validated with regard to this aspect.
5. Conclusions
Alkalizing diets enjoy uninterrupted popularity—despite limited clinical evidence derived from randomized-controlled trials. Several studies reported potential health benefits associated with alkaline diets. In line with previous reports, our data suggest that an LPD is associated with a more favorable potassium-to-sodium ratio in the NHANES. Individuals on an LPD met more nutritional goals than individuals on an HPD, particularly with regard to (saturated) fat intake. Yet, caution is warranted due to the cross-sectional nature of our data and its inherent limitations. Our results suggest that meeting the DNG for several nutrients of public health concern (particularly vitamin D and calcium) appears to be difficult on an LPD. In light of the growing clinical importance of alkalizing diets, additional trials investigating their nutritional adequacy are urgently warranted in this area. Investigations in other large cohorts and in special populations (e.g., pregnant women and patients afflicted with cancer) are also required for a better understanding of the nutritional adequacy of LPD. Once said data are available, specific supplementation strategies could be developed for individuals choosing LPD.
Abbreviations
| AI | Adequate intake |
| AMDR | Acceptable macronutrient distribution range |
| CDRR | Chronic disease reduction level |
| DAL | Dietary acid load |
| DGA | Dietary guidelines for Americans |
| DNG | Daily nutritional goals |
| HPD | High-PRAL diet |
| LPD | Low-PRAL diet |
| NHANES | National Health and Nutrition Examination Surveys |
| PRAL | Potential renal acid load |
| RDA | Recommended dietary allowance |
Author Contributions
Conceptualization, M.A.S.; methodology, M.A.S.; software, M.A.S.; validation, M.A.S. and A.L.R.; formal analysis, M.A.S.; investigation, M.A.S. and A.L.R.; resources, M.A.S.; data curation, M.A.S.; writing—original draft preparation, M.A.S.; writing—review and editing, M.A.S. and A.L.R.; visualization, M.A.S.; supervision, M.A.S. and A.L.R.; project administration, M.A.S.; funding acquisition, M.A.S. All authors have read and agreed to the published version of the manuscript.
Institutional Review Board Statement
The present study is a negligible-risk research that involves existing collections of data that contain only nonidentifiable data about human beings. It is a deidentified secondary analysis of freely available data. The research was performed in accordance with the Declaration of Helsinki and approved by the NCHS Research Ethics Review Board (https://www.cdc.gov/nchs/nhanes/irba98.htm; accessed on 2 July 2022). NHANES was approved by the National Center for Health Statistics research ethics review board, and informed consent was obtained for all participants.
Informed Consent Statement
Informed consent was obtained from all subjects involved in the study.
Data Availability Statement
Data are publicly available online (https://wwwn.cdc.gov/nchs/nhanes/Default.aspx; accessed on 2 July 2022). The datasets used and analyzed in the current study are available from the corresponding author upon reasonable request.
Conflicts of Interest
The authors declare no conflict of interest.
Funding Statement
The article processing charge was partly funded by the Baden-Wuerttemberg Ministry of Science, Research, and Art and the University of Freiburg in the funding program Open-Access Publishing.
Footnotes
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.
References
- 1.Frassetto L., Remer T., Banerjee T. Dietary Contributions to Metabolic Acidosis. Adv. Chronic Kidney Dis. 2022;29:373–380. doi: 10.1053/j.ackd.2022.03.008. [DOI] [PubMed] [Google Scholar]
- 2.Osuna-Padilla I.A., Leal-Escobar G., Garza-García C.A., Rodríguez-Castellanos F.E. Dietary Acid Load: Mechanisms and Evidence of Its Health Repercussions. Nefrologia. 2019;39:343–354. doi: 10.1016/j.nefro.2018.10.005. [DOI] [PubMed] [Google Scholar]
- 3.Wesson D.E. The Continuum of Acid Stress. Clin. J. Am. Soc. Nephrol. 2021;16:1292–1299. doi: 10.2215/CJN.17541120. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4.Passey C. Reducing the Dietary Acid Load: How a More Alkaline Diet Benefits Patients With Chronic Kidney Disease. J. Ren. Nutr. 2017;27:151–160. doi: 10.1053/j.jrn.2016.11.006. [DOI] [PubMed] [Google Scholar]
- 5.Murakami K., Sasaki S., Takahashi Y., Uenishi K. Japan Dietetic Students’ Study for Nutrition and Biomarkers Group Association between Dietary Acid-Base Load and Cardiometabolic Risk Factors in Young Japanese Women. Br. J. Nutr. 2008;100:642–651. doi: 10.1017/S0007114508901288. [DOI] [PubMed] [Google Scholar]
- 6.Arisawa K., Katsuura-Kamano S., Uemura H., Tien N.V., Hishida A., Tamura T., Kubo Y., Tsukamoto M., Tanaka K., Hara M., et al. Association of Dietary Acid Load with the Prevalence of Metabolic Syndrome among Participants in Baseline Survey of the Japan Multi-Institutional Collaborative Cohort Study. Nutrients. 2020;12:1605. doi: 10.3390/nu12061605. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7.Iwase H., Tanaka M., Kobayashi Y., Wada S., Kuwahata M., Kido Y., Hamaguchi M., Asano M., Yamazaki M., Hasegawa G., et al. Lower Vegetable Protein Intake and Higher Dietary Acid Load Associated with Lower Carbohydrate Intake Are Risk Factors for Metabolic Syndrome in Patients with Type 2 Diabetes: Post-Hoc Analysis of a Cross-Sectional Study. J. Diabetes Investig. 2015;6:465–472. doi: 10.1111/jdi.12326. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.Rebholz C.M., Coresh J., Grams M.E., Steffen L.M., Anderson C.A.M., Appel L.J., Crews D.C. Dietary Acid Load and Incident Chronic Kidney Disease: Results from the ARIC Study. Am. J. Nephrol. 2015;42:427–435. doi: 10.1159/000443746. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.Scialla J.J., Appel L.J., Astor B.C., Miller E.R., Beddhu S., Woodward M., Parekh R.S., Anderson C.A.M. African American Study of Kidney Disease and Hypertension Study Group Net Endogenous Acid Production Is Associated with a Faster Decline in GFR in African Americans. Kidney. Int. 2012;82:106–112. doi: 10.1038/ki.2012.82. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Banerjee T., Crews D.C., Wesson D.E., Tilea A., Saran R., Rios Burrows N., Williams D.E., Powe N.R. Centers for Disease Control and Prevention Chronic Kidney Disease Surveillance Team Dietary Acid Load and Chronic Kidney Disease among Adults in the United States. BMC Nephrol. 2014;15:137. doi: 10.1186/1471-2369-15-137. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Park Y.-M.M., Steck S.E., Fung T.T., Merchant A.T., Elizabeth Hodgson M., Keller J.A., Sandler D.P. Higher Diet-Dependent Acid Load Is Associated with Risk of Breast Cancer: Findings from the Sister Study. Int. J. Cancer. 2019;144:1834–1843. doi: 10.1002/ijc.31889. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Shi L.-W., Wu Y.-L., Hu J.-J., Yang P.-F., Sun W.-P., Gao J., Wang K., Peng Y., Wu J.-J., Zhong G.-C. Dietary Acid Load and the Risk of Pancreatic Cancer: A Prospective Cohort Study. Cancer Epidemiol. Biomark. Prev. 2021;30:1009–1019. doi: 10.1158/1055-9965.EPI-20-1293. [DOI] [PubMed] [Google Scholar]
- 13.Ronco A.L., Martínez-López W., Calderón J.M., Storz M.A. Dietary Acid Load and Esophageal Cancer Risk: A Case-Control Study. Thorac. Cancer. 2022;13:2759–2766. doi: 10.1111/1759-7714.14612. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.Ronco A.L., Martínez-López W., Calderón J.M., Storz M.A. Dietary Acid Load and Risk of Head and Neck and Oral Cavity Cancers: An Epidemiologic Study. Oral Sci. Int. 2022 doi: 10.1002/osi2.1150. [DOI] [Google Scholar]
- 15.Kahleova H., McCann J., Alwarith J., Rembert E., Tura A., Holubkov R., Barnard N.D. A Plant-Based Diet in Overweight Adults in a 16-Week Randomized Clinical Trial: The Role of Dietary Acid Load. Clin. Nutr. ESPEN. 2021;44:150–158. doi: 10.1016/j.clnesp.2021.05.015. [DOI] [PubMed] [Google Scholar]
- 16.Storz M.A., Ronco A.L., Hannibal L. Observational and Clinical Evidence That Plant-Based Nutrition Reduces Dietary Acid Load. J Nutr Sci. 2022;11:e93. doi: 10.1017/jns.2022.93. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.Remer T., Manz F. Potential Renal Acid Load of Foods and Its Influence on Urine pH. J. Acad. Nutr. Diet. 1995;95:P791–P797. doi: 10.1016/S0002-8223(95)00219-7. [DOI] [PubMed] [Google Scholar]
- 18.Remer T. Influence of Nutrition on Acid-Base Balance—Metabolic Aspects. Eur. J. Nutr. 2001;40:214–220. doi: 10.1007/s394-001-8348-1. [DOI] [PubMed] [Google Scholar]
- 19.Schwalfenberg G.K. The Alkaline Diet: Is There Evidence That an Alkaline PH Diet Benefits Health? J. Environ. Public Health. 2012;2012:727630. doi: 10.1155/2012/727630. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.Alam I., Alam I., Paracha P.I., Pawelec G. Higher Estimates of Daily Dietary Net Endogenous Acid Production (NEAP) in the Elderly as Compared to the Young in a Healthy, Free-Living Elderly Population of Pakistan. Clin. Interv. Aging. 2012;7:565–573. doi: 10.2147/CIA.S37158. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21.Shin D., Lee K.W. Dietary Acid Load Is Positively Associated with the Incidence of Hyperuricemia in Middle-Aged and Older Korean Adults: Findings from the Korean Genome and Epidemiology Study. Int. J. Environ. Res. Public Health. 2021;18:10260. doi: 10.3390/ijerph181910260. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22.Li C.-F., Liu Y.-P., Liu C.-Y., Zhu H.-L., Wu B.-H., Li B.-L., Chen Y.-M. Dietary Acid Load Was Positively Associated with the Risk of Hip Fracture in Elderly Adults. Nutrients. 2022;14:3748. doi: 10.3390/nu14183748. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23.Kataya Y., Murakami K., Kobayashi S., Suga H., Sasaki S., Three-Generation Study of Women on Diets and Health Study Group Higher Dietary Acid Load Is Associated with a Higher Prevalence of Frailty, Particularly Slowness/Weakness and Low Physical Activity, in Elderly Japanese Women. Eur. J. Nutr. 2018;57:1639–1650. doi: 10.1007/s00394-017-1449-4. [DOI] [PubMed] [Google Scholar]
- 24.Storz M.A., Müller A., Ronco A.L. Nutrient Intake and Dietary Acid Load of Special Diets in the NHANES: A Descriptive Analysis (2009–2018) Int. J. Environ. Res. Public Health. 2022;19:5748. doi: 10.3390/ijerph19095748. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25.Adeva M.M., Souto G. Diet-Induced Metabolic Acidosis. Clin. Nutr. 2011;30:P416–P421. doi: 10.1016/j.clnu.2011.03.008. [DOI] [PubMed] [Google Scholar]
- 26.D’Alessandro C., Piccoli G.B., Cupisti A. The “Phosphorus Pyramid”: A Visual Tool for Dietary Phosphate Management in Dialysis and CKD Patients. BMC Nephrol. 2015;16:9. doi: 10.1186/1471-2369-16-9. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27.Rodrigues Neto Angéloco L., Arces de Souza G.C., Almeida Romão E., Garcia Chiarello P. Alkaline Diet and Metabolic Acidosis: Practical Approaches to the Nutritional Management of Chronic Kidney Disease. J. Ren. Nutr. 2018;28:P215–P220. doi: 10.1053/j.jrn.2017.10.006. [DOI] [PubMed] [Google Scholar]
- 28.Welch A.A., MacGregor A.J., Skinner J., Spector T.D., Moayyeri A., Cassidy A. A Higher Alkaline Dietary Load Is Associated with Greater Indexes of Skeletal Muscle Mass in Women. Osteoporos. Int. 2013;24:1899–1908. doi: 10.1007/s00198-012-2203-7. [DOI] [PubMed] [Google Scholar]
- 29.Xu H., Åkesson A., Orsini N., Håkansson N., Wolk A., Carrero J.J. Modest U-Shaped Association between Dietary Acid Load and Risk of All-Cause and Cardiovascular Mortality in Adults. J. Nutr. 2016;146:1580–1585. doi: 10.3945/jn.116.231019. [DOI] [PubMed] [Google Scholar]
- 30.García-Gavilán J.F., Martínez A., Konieczna J., Mico-Perez R., García-Arellano A., Basora J., Barrubés L., Goday A., Canudas S., Salas-Salvadó J., et al. U-Shaped Association between Dietary Acid Load and Risk of Osteoporotic Fractures in 2 Populations at High Cardiovascular Risk. J. Nutr. 2021;151:152–161. doi: 10.1093/jn/nxaa335. [DOI] [PubMed] [Google Scholar]
- 31.Department of Agriculture U.S. Department of Health and Human Services. Dietary Guidelines for Americans 2020–2025. 9th ed. U.S. Department of Agriculture; Washington, DC, USA: 2020. [(accessed on 28 September 2022)]. Available online: https://www.DietaryGuidelines.gov. [Google Scholar]
- 32.Center for Disease Control and Prevention NHANES—About the National Health and Nutrition Examination Survey. [(accessed on 11 December 2022)];2020 Available online: https://www.cdc.gov/nchs/nhanes/about_nhanes.htm.
- 33.Center for Disease Control and Prevention NHANES—National Health and Nutrition Examination Survey Homepage. [(accessed on 11 December 2022)];2022 Available online: https://www.cdc.gov/nchs/nhanes/index.htm.
- 34.National Health and Nutrition Examination Survey 2007–2008 Data Documentation, Codebook, and Frequencies (DR1TOT_E) [(accessed on 11 December 2022)];2013 Available online: https://wwwn.cdc.gov/nchs/nhanes/2007-2008/dr1tot_e.htm#dr1tvd.
- 35.National Health and Nutrition Examination Survey 2007–2008 Data Documentation, Codebook, and Frequencies (DEMO_E) [(accessed on 11 December 2022)]; Available online: https://wwwn.cdc.gov/nchs/nhanes/2007-2008/demo_e.htm.
- 36.Atwater W.O. Principles of Nutrition and Nutritive Value of Food. U.S. Department of Agriculture, Farmers’ Bulletin; Washington, DC, USA: 1910. p. 142. [Google Scholar]
- 37.Sánchez-Peña M.J., Márquez-Sandoval F., Ramírez-Anguiano A.C., Velasco-Ramírez S.F., Macedo-Ojeda G., González-Ortiz L.J. Calculating the Metabolizable Energy of Macronutrients: A Critical Review of Atwater’s Results. Nutr. Rev. 2017;75:37–48. doi: 10.1093/nutrit/nuw044. [DOI] [PubMed] [Google Scholar]
- 38.Dietary Guidelines for Americans Most Popular Questions. [(accessed on 11 December 2022)]; Available online: https://www.dietaryguidelines.gov/most-popular-questions.
- 39.Storz M.A., Ronco A.L. Nutrient Intake in Low-Carbohydrate Diets in Comparison to the 2020–2025 Dietary Guidelines for Americans: A Cross-Sectional Study. Br. J. Nutr. 2022:1–14. doi: 10.1017/S0007114522001908. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 40.Keramati M., Kheirouri S., Musazadeh V., Alizadeh M. Association of High Dietary Acid Load with the Risk of Cancer: A Systematic Review and Meta-Analysis of Observational Studies. Front. Nutr. 2022;9:816797. doi: 10.3389/fnut.2022.816797. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 41.Bahrami A., Khalesi S., Ghafouri-Taleghani F., Alibeyk S., Hajigholam-Saryazdi M., Haghighi S., Hejazi E. Dietary Acid Load and the Risk of Cancer: A Systematic Review and Dose-Response Meta-Analysis of Observational Studies. Eur. J. Cancer Prev. 2022;31:577–584. doi: 10.1097/CEJ.0000000000000748. [DOI] [PubMed] [Google Scholar]
- 42.Wu T., Hsu F.-C., Pierce J.P. Increased Acid-Producing Diet and Past Smoking Intensity Are Associated with Worse Prognoses Among Breast Cancer Survivors: A Prospective Cohort Study. J. Clin. Med. 2020;9:1817. doi: 10.3390/jcm9061817. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 43.Tessou K.D., Lemus H., Hsu F.-C., Pierce J., Hong S., Brown L., Wu T. Independent and Joint Impacts of Acid-Producing Diets and Depression on Physical Health among Breast Cancer Survivors. Nutrients. 2021;13:2422. doi: 10.3390/nu13072422. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 44.Chronister B.N.C., Wu T., Santella R.M., Neugut A.I., Wolff M.S., Chen J., Teitelbaum S.L., Parada H. Dietary Acid Load, Serum Polychlorinated Biphenyl Levels, and Mortality Following Breast Cancer in the Long Island Breast Cancer Study Project. Int. J. Environ. Res. Public Health. 2021;19:374. doi: 10.3390/ijerph19010374. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 45.Hamaguchi R., Ito T., Narui R., Morikawa H., Uemoto S., Wada H. Effects of Alkalization Therapy on Chemotherapy Outcomes in Advanced Pancreatic Cancer: A Retrospective Case-Control Study. In Vivo. 2020;34:2623–2629. doi: 10.21873/invivo.12080. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 46.Wada H., Hamaguchi R., Narui R., Morikawa H. Meaning and Significance of “Alkalization Therapy for Cancer”. Front. Oncol. 2022;12:920843. doi: 10.3389/fonc.2022.920843. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 47.Frassetto L., Morris R.C., Sellmeyer D.E., Todd K., Sebastian A. Diet, Evolution and Aging—The Pathophysiologic Effects of the Post-Agricultural Inversion of the Potassium-to-Sodium and Base-to-Chloride Ratios in the Human Diet. Eur. J. Nutr. 2001;40:200–213. doi: 10.1007/s394-001-8347-4. [DOI] [PubMed] [Google Scholar]
- 48.Sebastian A., Frassetto L.A., Sellmeyer D.E., Merriam R.L., Morris R.C. Estimation of the Net Acid Load of the Diet of Ancestral Preagricultural Homo Sapiens and Their Hominid Ancestors. Am. J. Clin. Nutr. 2002;76:1308–1316. doi: 10.1093/ajcn/76.6.1308. [DOI] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Data Availability Statement
Data are publicly available online (https://wwwn.cdc.gov/nchs/nhanes/Default.aspx; accessed on 2 July 2022). The datasets used and analyzed in the current study are available from the corresponding author upon reasonable request.
