High dietary acid load (DAL) may be detrimental to bone mineral density (BMD). The objectives of the study were to: (1) evaluate the cross-sectional relation between DAL and BMD; and (2) determine whether calcium intake modifies this association. Men (n = 1218) and women (n = 907) aged ≥60 years were included from the National Health and Nutrition Examination Survey 2005–2008. Nutrient intake from 2, 24-hour recalls was used to calculate net endogenous acid production (NEAP) and potential renal acid load (PRAL) (mEq/d). PRAL was calculated from dietary calcium (PRALdiet) and diet + supplemental calcium (PRALtotal). Tests for linear trend in adjusted mean BMD of the hip and lumbar spine were performed across energy-adjusted NEAP and PRAL quartiles. Modification by calcium intake (dietary or total) above or below 800 mg/d was assessed by interaction terms. Overall, mean age was 69 ± 0.3 years. Among women, there was no association between NEAP and BMD. PRALdiet was positively associated with proximal femur BMD (p trend = 0.04). No associations were observed with PRALtotal at any BMD site (p range, 0.38–0.82). Among men, no significant associations were observed between BMD and NEAP or PRAL. However, an interaction between PRALdiet and calcium intake was observed with proximal femur BMD (p = 0.08). An inverse association between PRALdiet and proximal femur BMD was detected among men with <800 mg/d dietary calcium (p = 0.02); no associations were found among men with ≥800 mg/d (p = 0.98). A significant interaction with PRALtotal was not observed. In conclusion, when supplemental calcium is considered, there is no association between DAL and BMD among adults. Men with low dietary calcium showed an inverse relation with PRAL at the proximal femur; in women no interaction was observed. This study highlights the importance of calcium intake in counteracting the adverse effect of DAL on bone health. Further research should determine the relation between DAL and change in BMD with very low calcium intake. © 2014 American Society for Bone and Mineral Research.
Osteoporosis is characterized by low bone mass and can lead to increased risk of fracture at the hip, spine, and wrist.[1, 2] Hip fractures have debilitating consequences, with mortality rates up to 24% at 1 year postfracture, and are a major economic burden.[4, 5] Due to the inherent loss in quality of life and large medical costs following an osteoporotic fracture, prevention of this disease is a public health priority. The acid-generating capacity of the Western diet (because of its high animal protein content) has been implicated as a potential contributor to bone loss. This hypothesis, however, remains controversial.
Dietary protein is a primary contributor to dietary acid load (DAL), mainly through the metabolism of methionine and cysteine to sulfuric acid. Concurrently, plant foods also generate base-forming constituents, primarily in the form of bicarbonate. The calculation of DAL from dietary constituents is termed net endogenous acid production (NEAP) and it includes both the acid-generating and the base-generating capacity of the entire diet. Data from the third National Health and Nutrition Examination Survey (NHANES) show the average American diet to be acid-producing, with an NEAP of positive 48 mEq/d. Chronic disruption in the extracellular pH, such as with higher NEAP, may activate compensatory mechanisms to return the acid-base disruption to equilibrium.
In theory, the skeleton could act as a primary buffer system, in which calcium is released from the bone matrix to counteract the acidic environment generated by higher NEAP. Previous research suggested that chronic acidosis results in augmented osteoclastic bone resorption and decreased osteoblastic bone formation. The result of the increased bone resorption was a concurrent increase in urinary calcium.[10-12] However, recent research suggests that greater dietary calcium intake may offset the calciuric effect of protein on the bone matrix. Therefore, greater NEAP may only be detrimental to bone under conditions of low calcium intake. The ability of calcium to modify the association between NEAP and bone health warrants further investigation.
The current epidemiological literature examining the potential association between DAL and bone are conflicting,[14-18] and those measuring long-term fracture risk have shown null results. However, randomized control trials using change in bone mineral density (BMD) as an outcome measure in postmenopausal women have shown that bone loss can be reversed with the addition of a base (either potassium citrate and/or calcium citrate).[20-23] It has yet to be determined whether chronic ingestion of an acid-generating diet can be of sufficient magnitude to induce significant bone loss over time.
In the current study we aimed to determine the cross-sectional association of DAL with BMD of the hip and spine among older men and women from recently available NHANES data. We hypothesized that higher DAL, estimated by NEAP, would be negatively associated with BMD in those participants with low calcium intake.
Subjects and Methods
Sample population and data collection
The NHANES is the only national survey that collects extensive health information from both face-to-face interviews and medical examinations. It is designed to provide a cross-sectional picture of health and nutrition in the U.S. population. The survey uses a complex, stratified, multistage, probability-cluster sampling design. A detailed description of the NHANES plans and procedures has been provided.
The National Center for Health Statistics (NCHS) collects NHANES data in biennial cycles. The analyses reported herein used data from the 2005–2006 and 2007–2008 cycle. Men and women aged 60 years and older were included in the study sample because they are at greatest risk for osteoporosis and fracture. In total, 1218 men and 907 women were included in the current analysis. Because of the amount of missing lumbar spine BMD data among women, survey analysis could not be conducted in this subgroup. Individuals with osteoporosis or those taking osteoporosis-related medications were not excluded from analyses. Written informed consent was obtained from all participants or proxies, and the survey protocol was approved by the Research Ethics Review Board of NCHS.
Dietary interview and analysis
The objective of the dietary interview component is for the subject to recall all types and amounts of food consumed in a 24-hour period of time. The dietary interview was conducted in person at a mobile examination center. All interviewers completed an intensive 1-week training course and were monitored during the interview process. Data were collected by NHANES interviewers using a U.S. Department of Agriculture (USDA) dietary data collection instrument, the Automated Multiple Pass Method. This method uses a five-step procedure to quantify 24-hour food intake.[27, 28] The USDA's Food and Nutrient Database for Dietary Studies, Version 3.0 was used with the 2005–2006 data, and Version 4.1 was used for the 2007–2008 data. In the present study, only data on survey participants with dietary recall status codes of “reliable” were used. A code of reliable indicates that there were no missing reference values for any nutrient based on food items cited in the 24-hour recall. Nutrient intake was calculated by averaging the 2 days of recall.
The NHANES 2005–2008 oversampled low-income persons, adolescents 12–19 years, persons 60+ years of age, African Americans, and Mexican Americans. To account for this, sampling weights are provided to support estimation of unbiased summary statistics for the U.S. population. Sampling weights specifically related to the subsample of survey participants who completed the 24-hour dietary recall were used in all analyses.
BMD (g/cm2) of the spine and hip was measured by dual-energy X-ray absorptiometry (DXA) on all eligible participants. Only individuals designated in NHANES with valid BMD scans were used in statistical analyses. Invalidity codes were provided to indicate the reasons which some scans could not be analyzed accurately (such as excessive X-ray noise due to obesity, jewelry or other objects not removed, non-removable objects, movement or positioning problems, degenerative diseases, or spinal fusion or fractures). Both the femur and spine scans were performed with a Hologic QDR-4500A fan-beam densitometer (Hologic, Inc., Bedford, MA, USA) using Hologic software version 8.26:a3* through mid-2005 and Hologic Discovery software (v12.4) thereafter (for femur scans) and Hologic APEX v3.0 software (for the lumbar spine). The left hip was routinely scanned. In the case of left hip fracture, pin, or replacement, the right hip was scanned. Rigorous quality control standards were routinely employed; further detail can be found elsewhere.
Covariates thought to affect bone health were included in all statistical analyses. Such demographic covariates included: age (years) and ethnicity (white non-Hispanic; black non-Hispanic; Mexican American; Hispanic/Other). General health was assessed by height (cm), weight (kg), physical activity (created by combining existing variables in NHANES to assess leisure activity by none, moderate, and vigorous), or use of hormone replacement therapy (among women only). Lifestyle factors included alcohol consumption (four levels), cigarette smoking (four levels), and caffeine intake (mg/d). Prescription medication use of thiazides and/or bisphosphonates was captured as dichotomous variables (use: yes/no). Nutrients included in analyses were total energy intake (kcal/d), dietary magnesium (mg/d), dietary calcium (mg/d), and total calcium intake from diet and supplements combined (mg/d). Dietary vitamin D data are not available for NHANES years 2005–2006; therefore, dietary vitamin D was not included in these analyses. Nutrition supplement use over the past 30 days was captured during the in-person interview. Supplemental vitamin D use was assessed as a dichotomous variable (use: yes/no). Supplements included single-ingredient and multi-ingredient nonprescription vitamin or mineral supplements, antacids, and prescription supplements. Calcium supplementation was assessed as a dichotomous variable (use: yes/no) for adjustment in NEAP models. Further, calcium supplementation was assessed in milligrams per day (mg/d) because it was included in the calculation of PRALtotal.
DAL was estimated by NEAP, which results predominantly from the amount of net acid (acid minus base) produced by the metabolic system every day. Estimated NEAP was calculated from two commonly used algorithms. The first calculation by Frassetto and colleagues estimates DAL from dietary protein (an acid precursor) and potassium (an index of base precursors from organic anions) and has been previously validated in healthy men and women (age range, 17–73 years):
This equation involves only the protein:potassium ratio and does not include other pH-altering nutrients from the diet, which are also believed to influence bone. Therefore, the following algorithm developed by Remer and Manz was used to calculate DAL. This equation estimates the PRAL from average intestinal absorption rates of ingested protein and additional minerals:
This method of calculation has been experimentally validated in healthy adults and children under controlled conditions. PRAL was calculated in two ways: first from dietary calcium alone (PRALdiet), and then from dietary and supplemental calcium intakes combined (PRALtotal).
Descriptive statistics were calculated for men and women separately by mean and SEs and percentages for categorical variables using survey methodology. Prior to multivariable analyses, all variables were tested for normality and transformed by logarithmic or root transformation as appropriate. In previous work by McLean and colleagues the relation between DAL and BMD was observed in men, but not in women. Therefore, all analyses in the present study were stratified by sex.
Estimated NEAP and PRAL were adjusted for total energy intake using the residual method, and energy-adjusted sex-specific quartiles of NEAP and PRAL were created. To evaluate the relation between estimated NEAP, PRAL, and BMD, analysis of covariance was used to test for a linear trend in the least squares–adjusted mean BMD at the femoral neck, proximal femur, and lumbar spine (in men only) across estimated NEAP and PRAL quartiles. In this study, data pertaining to lumbar spine BMD were not examined in women because some of the primary sampling units in the NHANES survey included zero women with DXA data at the spine. This circumstance precluded the application of statistical techniques for survey data analysis. Estimates of BMD were transformed from the logarithmic or square root scale. The delta method was used to transform SEs for means on the logarithmic and square root scale. Models were adjusted for age, height, weight, total energy intake, physical activity, smoking, alcohol intake, caffeine, vitamin D supplement use, calcium supplement use, dietary calcium, dietary magnesium, and use of hormone replacement therapy (in women only). Because PRAL is calculated in part from calcium and magnesium intake, these variables (dietary calcium, dietary magnesium, and supplemental calcium) were excluded from all PRAL multivariable models to avoid collinearity. To assess whether calcium intake plays a moderating role between DAL and BMD, interactions were tested with NEAP and PRAL as continuous ordinal variables and calcium intake categorized by <800 mg/d or ≥800 mg/d (calculated from dietary calcium alone, then again from total calcium intake including supplemental intake). Calcium was stratified by 800 mg/d based on the literature and the distribution of the current data. Significance was set at p < 0.05. When testing interaction terms, significance was set at p < 0.10. All analyses were performed using SPSS software version 18 (Chicago, IL, USA) and StataIC software version 10 (College Station, TX, USA).
Subject characteristics can be found in Table 1. The database included 1218 men and 907 women; mean age was 69 years. Mean energy intake per day was 2035 ± 39 kcal for men and 1577 ± 22 kcal for women; mean protein intake 82 ± 2 g/d and 62 ± 1 g/d for men and women, respectively; mean dietary calcium was 910 ± 24 mg/d among men and 777 ± 19 mg/d among women. Mean NEAP and PRAL estimates are consistent with previous research[15, 17] (NEAP: 52.2 ± 0.7, 48.0 ± 0.8 mEq/d; PRALdiet: 8.5 ± 0.8, 2.8 ± 0.6 mEq/d, for men and women, respectively). Men with total calcium intakes <800 mg/d had an average dietary calcium intake of 542 ± 13 mg/d, compared to an average dietary intake of 1095 ± 28 mg/d in men with intakes ≥800 mg/d. Women with total calcium intakes <800 mg/d had an average dietary calcium intake of 504 ± 11 mg/d, and those with total calcium intakes ≥800 mg/d had an average dietary calcium intake of 931 ± 21 mg/d.
|Age, years||69.4 ± 0.3||69.5 ± 0.3|
|Mexican American||4.2 ± 0.8||4.6 ± 0.7|
|Hispanic, Other||5.9 ± 1.4||5.6 ± 0.1|
|White (non-Hispanic)||82.4 ± 2.4||80.1 ± 0.2|
|Black (non-Hispanic)||7.5 ± 1.2||9.7 ± 0.1|
|Height, cm||174.0 ± 0.2||160.9 ± 0.3|
|Weight, kg||86.1 ± 0.6||72.4 ± 0.7|
|% HRT use||–||7.6 ± 1.4|
|Physical activity (%)|
|None||42.6 ± 2.5||9.9 ± 1.3|
|Moderate||37.7 ± 1.8||36.4 ± 1.9|
|Vigorous||19.7 ± 2.4||53.7 ± 2.3|
|Smoking status (%)|
|Never||32.1 ± 1.9||56.3 ± 2.1|
|Former||55.0 ± 2.3||29.8 ± 2.1|
|Current, ≤1 pack per day||9.8 ± 1.3||11.9 ± 1.4|
|Current, >1 pack per day||3.1 ± 0.9||2.0 ± 0.8|
|Alcohol consumption (%)|
|<1 drink/month||53.1 ± 2.8||68.3 ± 2.6|
|≥1 drink/month and <1 drink/week||8.6 ± 1.2||9.2 ± 1.3|
|≥1 drink/week and < 1 drink per day||29.0 ± 2.4||17.2 ± 1.9|
|≥1 drink per day||9.3 ± 1.1||5.4 ± 1.3|
|Nutrient intakes (per day)|
|Energy (kcal)||2035 ± 39||1577 ± 22|
|Protein (g)||82 ± 2||62 ± 1|
|Dietary calcium (mg)||910 ± 24||777 ± 19|
|(% <800 mg)||46 ± 2||59 ± 2|
|Total calcium (mg)||1095 ± 35||1168 ± 44|
|Potassium (mg)||2923 ± 62||2388 ± 44|
|Phosphorous (mg)||1339 ± 31||1054 ± 22|
|Magnesium (mg)||304 ± 7||253 ± 5|
|Caffeine (mg)||180 ± 7||150 ± 8|
|Sodium (mg)||3372 ± 84||2603 ± 46|
|Supplement user (%)|
|Vitamin D||47.0 ± 2.9||56.8 ± 2.2|
|Calcium||55.7 ± 2.5||65.9 ± 2.2|
|Dietary acid load, mEq/d|
|Estimated NEAP||52.2 ± 0.7||48.0 ± 0.8|
|PRALdiet||8.5 ± 0.8||2.8 ± 0.6|
|PRALtotal||6.1 ± 0.82||–2.3 ± 0.68|
|Proximal femur||0.988 ± 0.005||0.846 ± 0.006|
|Femoral neck||0.797 ± 0.005||0.721 ± 0.005|
|Lumbar spine||1.087 ± 0.009||–|
|Proximal femur||–0.418 ± 0.040||–0.901 ± 0.048|
|Femoral neck||–0.785 ± 0.041||–1.100 ± 0.045|
|Lumbar spine||0.338 ± 0.069||–|
Among women, no significant interactions were observed between calcium intake (above or below 800 mg/d) and NEAP, PRALdiet, or PRALtotal in the models assessing hip BMD (p range, 0.22–0.98). In the full model, no statistically significant association was observed between estimated NEAP and BMD at either the proximal femur or femoral neck (p range, 0.10–0.16; Table 2). PRALdiet was not significantly associated with femoral neck BMD (p = 0.16; Table 3); however, it was significantly associated with greater proximal femur BMD at quartiles 3 and 4 compared to quartile 2 (p = 0.045). When total calcium intake (diet + supplements) was used to calculate PRALtotal, no significant associations were observed between PRALtotal at any BMD site (p range, 0.38–0.82).
|NEAP quartile||p trend|
|Dietary protein (g)||66 ± 2||83 ± 3||87 ± 2||91 ± 5|
|Dietary calcium (mg)||913 ± 39||1018 ± 49||915 ± 33||795 ± 36|
|Estimated NEAP, range||6.87–38.82||38.86–49.40||49.41–62.50||62.53–164.91|
|Proximal femur BMD||0.989 ± 0.010||0.992 ± 0.010||0.980 ± 0.008||0.971 ± 0.009||0.46|
|Femoral neck BMD||0.780 ± 0.008||0.797 ± 0.009||0.787 ± 0.009||0.783 ± 0.008||0.48|
|Lumbar spine BMD||1.084 ± 0.018||1.091 ± 0.012||1.086 ± 0.017||1.072 ± 0.016||0.83|
|Dietary protein (g)||51 ± 1||59 ± 2||69 ± 3||70 ± 2|
|Dietary calcium (mg)||781 ± 26||782 ± 31||856 ± 54||687 ± 34|
|Estimated NEAP, range||8.42–34.93||34.99–46.74||46.78–58.44||58.49–162.32|
|Proximal femur BMD||0.836 ± 0.008||0.823 ± 0.009||0.854 ± 0.010||0.849 ± 0.010||0.10|
|Femoral neck BMD||0.706 ± 0.008||0.696 ± 0.007||0.718 ± 0.009||0.722 ± 0.011||0.16|
|PRAL quartile||p trend|
|Dietary protein (g)||77 ± 2||73 ± 2||81 ± 3||95 ± 5|
|Dietary calcium (mg)||1018 ± 39||856 ± 25||860 ± 45||877 ± 35|
|Estimated PRAL, range||–78.22 to –1.16||–1.15 to 8.62||8.64 to 18.51||18.52 to 69.96|
|Proximal femur BMD||0.994 ± 0.008||0.989 ± 0.010||0.980 ± 0.008||0.970 ± 0.010||0.34|
|Femoral neck BMD||0.783 ± 0.007||0.797 ± 0.011||0.791 ± 0.009||0.776 ± 0.009||0.39|
|Lumbar spine BMD||1.081 ± 0.013||1.099 ± 0.017||1.076 ± 0.014||1.076 ± 0.014||0.57|
|Dietary protein (g)||56 ± 2||55 ± 1||61 ± 1||77 ± 3|
|Dietary calcium (mg)||836 ± 33||725 ± 31||726 ± 23||820 ± 57|
|Estimated PRAL, range||–55.39 to –5.66||–5.62 to 3.60||3.61 to 11.57||11.61 to 49.53|
|Proximal femur BMD||0.842 ± 0.008||0.821 ± 0.008||0.851 ± 0.010||0.847 ± 0.010||0.04*|
|Femoral neck BMD||0.706 ± 0.008||0.696 ± 0.007||0.717 ± 0.009||0.723 ± 0.010||0.16|
In men, significant interaction was observed between quartiles of PRALdiet and dietary calcium intake (above or below 800 mg/d) for proximal femur BMD (p = 0.08) but not for other bone sites examined (p range, 0.31–0.34). However, no significant interactions were observed between total calcium intake (above or below 800 mg/d) and quartiles of PRALtotal (p range, 0.26–0.86) or NEAP (p range, 0.34–0.93) at any BMD site.
Among men, full models showed no statistically significant association between estimated NEAP and BMD at the proximal femur, femoral neck, or lumbar spine (p range, 0.46–0.83; Table 2). Further, no statistically significant association was observed between quartiles of PRALdiet (p range, 0.34–0.57; Table 3) or quartiles of PRALtotal (p range, 0.22–0.73) and BMD at the hip or spine. Multivariable analyses for PRALdiet, stratified by high and low calcium intakes, showed a significant inverse association between quartiles of PRALdiet and BMD at the proximal femur among men with <800 mg/d dietary calcium intake (p = 0.02); no associations were observed among men with calcium intake ≥800 mg/d (p = 0.98).
In men and women, models assessing the relation between NEAP and BMD as well as PRAL and BMD did not change with the addition of additional covariates known to affect bicarbonate excretion (prescription thiazide use) or BMD (prescription bisphosphonate use) (data not shown).
Overall, our results do not support the hypothesis that DAL is detrimental to bone health under conditions of normal calcium intake. Despite a modest association between quartiles of PRAL and proximal femur BMD among women, this association was not consistent at any other BMD site in women or men and was attenuated when calcium supplementation was included in the PRAL estimation. Further, estimated NEAP was not associated with BMD at any site in this cohort of older adults. Evidence of a significant interaction between dietary calcium and PRALdiet in relation to proximal femur BMD was observed in men; lower BMD was associated with greater PRALdiet among those with dietary calcium intakes <800 mg/d. This interaction was not observed in women.
Our general negative finding of no association between DAL and BMD among men and women is in line with other recently published manuscripts. Data from the European Prospective Investigation into Cancer cohort found no significant association between PRAL and BMD as measured by tibial peripheral quantitative computed tomography among women over 60 years old. Wynn and colleagues reported a relatively weak inverse association between NEAP and broadband ultrasound attenuation (heel ultrasound) only among older women with a history of fracture. Results from the Framingham Osteoporosis Study reported no significant relation between estimated NEAP and PRAL with BMD at any site among women. Among men ≥70 years old, estimated NEAP, but not PRAL, was inversely associated with femoral neck BMD. However, this association was not statistically significant at any other BMD site among this cohort of older men (mean age 76 years; range, 68–92 years), and was not observed at any site in men <70 years old (mean age 60 years; range, 35–86 years). Results from the current study found no association between estimated NEAP or PRAL with BMD at any site among men with an average age of 69 years. However, among men with low dietary calcium intakes, an inverse relationship was observed with PRALdiet at the proximal femur. Interestingly, this association was not observed with total calcium intake, suggesting this interaction may only occur at very low calcium intake.
Higher calcium intake may influence the net effect of protein on the skeleton by resulting in greater calcium absorption and by lowering overall bone turnover rates. In a randomized clinically controlled trial in men and women >65 years, calcium citrate malate supplementation plus vitamin D or placebo was provided for 3 years and resulted in reduced bone loss from the spine, hip, and total body. Further, increased protein intake was associated with a favorable change in total body BMD in the supplemented group, but not in the placebo group. This study suggests that protein may be favorable to bone under conditions of higher calcium intake, when there was an observed additional 25 mEq of alkali potential. Our results show a negative association between the acid production of the diet, estimated by quartiles of PRAL, and BMD at the proximal femur among men with dietary calcium intakes <800 mg/d. Further, this interaction was no longer significant when calcium supplementation was included in analyses, indicating that the interaction may only occur at relatively low intakes of calcium. In contrast, Macdonald and colleagues found no effect of potassium citrate or increased fruit and vegetable consumption on BMD over time. A recent meta-analyses by Fenton and colleagues concluded that the potential association between dietary acid load and osteoporotic bone disease is not supported by evidence. It appears doubtful that a diet high in acid-forming nutrients produces such a severe state of acidosis as to overwhelm the body's first several lines of buffering mechanisms (intracellular and extracellular buffers, pulmonary, and renal) to the point that calcium is mobilized from bone.[39, 40]
Protein may have anabolic effects on bone turnover by increasing levels of insulin-like growth factor 1 (IGF-1), promoting calcium absorption, suppressing parathyroid hormone, and improving muscle strength and mass. On the other hand, protein is a major contributor to DAL through the metabolism of its amino acids to sulfuric acid, which may be detrimental to bone. A harmonizing theory combining the two conflicting hypotheses was proposed by Thorpe and colleagues. In cross-sectional analyses, protein alone did not predict lumbar spine BMD among postmenopausal women. However, after controlling for the sulfate content of the diet, protein intake was a positive predictor of lumbar spine BMD. When considering other components of the diet, estimated PRAL was not a significant predictor of BMD at the hip or spine. The authors concluded that the positive association observed between protein intake and BMD is suppressed by a negative association of sulfur from amino acids at the lumbar spine. The negative effects of sulfur amino acids on bone may offset the beneficial effects of protein in the current study, resulting in the null response observed between estimated NEAP and PRAL with BMD.
Our study has inherent strengths and limitations. The data from NHANES are collected from diverse subpopulations; therefore, the results are generalizable to both men and women of multiple ethnic groups. Due to the cross-sectional nature of the current study it is unclear whether estimated NEAP or PRAL may influence change in BMD over time and causality cannot be assessed. Dietary intake was assessed by two 24-hour recall assessments and averaged over the 2 days to eliminate within person variation. However, this methodology does not correct for systematic bias that can create excess noise in the estimation of dietary intake. Methods assessing usual intake of nutrients by accounting for such variation are available[42, 43]; however, use of these methods in multivariable analyses is currently under development. Further, there is evidence of an inverse association between urine ammonia and BMD among calcium kidney stone formers with hypercalciuria. However, because NHANES did not capture kidney stone formation in the 2005–2006 cycle we were unable to control for this potential confounding variable.
In conclusion, when supplemental calcium intake is considered, the results from this study do not support the overall hypotheses that DAL is associated with lower BMD among older adults. Among men with lower dietary calcium intakes, greater estimated PRAL was associated with significantly lower proximal femur BMD; however, these results were attenuated with the addition of calcium intake from supplements. This study highlights the importance of calcium intakes in counteracting the adverse effect of dietary acid load on bone health. Prospective studies are needed to determine the potential relationship between DAL and change in BMD at very low levels of calcium intake.
All authors state that they have no conflicts of interest.
This work was supported by the Nutrition Pilot Grant Program of the Patrick and Catherine Weldon Donaghue Medical Research Foundation; support for data management and analysis was provided by the Lowell P. Weicker, Jr. General Clinical Research Center at the University of Connecticut Health Center (NIH/NCRR M01-R006192).
Authors' roles: KMM, SJW, and JEK: conception and design of the study as well as study execution; KMM and SJW: acquisition of data, data management, and statistical analysis. All authors were involved in the interpretation of data, and critically revising the manuscript for important intellectual content (KMM, SJW, JEK, AMK, and KLI). None of the authors have a conflict of interest.