Journal of Nutrition OpenSOurce Diets- www.ResearchDiets.com

Home Help [Feedback] [For Subscribers] [Archive] [Search] [Contents]
 QUICK SEARCH:   [advanced]


     


This Article
Right arrow Abstract Freely available
Right arrow Full Text (PDF)
Right arrow Purchase Article
Right arrow View Shopping Cart
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Services
Right arrow Similar articles in this journal
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Download to citation manager
Right arrow reprints & permissions
Citing Articles
Right arrow Citing Articles via HighWire
Right arrow Citing Articles via Google Scholar
Google Scholar
Right arrow Articles by Thorpe, M.
Right arrow Articles by Evans, E. M.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Thorpe, M.
Right arrow Articles by Evans, E. M.
© 2008 American Society for Nutrition J. Nutr. 138:80-85, January 2008


Nutritional Epidemiology

A Positive Association of Lumbar Spine Bone Mineral Density with Dietary Protein Is Suppressed by a Negative Association with Protein Sulfur1,2

Matthew Thorpe3, Mina C. Mojtahedi3, Karen Chapman-Novakofski3, Edward McAuley4 and Ellen M. Evans3,4,*

3 Division of Nutritional Sciences, and 4 Kinesiology and Community Health, University of Illinois at Urbana-Champaign, Urbana, IL 61801

* To whom correspondence should be addressed. E-mail: elevans{at}uiuc.edu.


    ABSTRACT
 TOP
 ABSTRACT
 Introduction
 Methods
 Results
 Discussion
 LITERATURE CITED
 
Dietary protein is theorized to hold both anabolic effects on bone and demineralizing effects mediated by the diet acid load of sulfate derived from methionine and cysteine. The relative importance of these effects is unknown but relevant to osteoporosis prevention. Postmenopausal women (n = 161, 67.9 ± 6.0 y) were assessed for areal bone mineral density (aBMD) of lumbar spine (LS) and total hip (TH) using dual X-ray absorptiometry, and dietary intakes of protein, sulfur-containing amino acids, and minerals using a USDA multiple-pass 24-h recall. The acidifying influence of the diet was estimated using the ratio of protein:potassium intake, the potential renal acid load (PRAL), and intake of sulfate equivalents from protein. aBMD was regressed onto protein intake then protein was controlled for estimated dietary acid load. A step-down procedure assessed potential confounding influences (weight, age, physical activity, and calcium and vitamin D intakes). Protein alone did not predict LS aBMD (P = 0.81); however, after accounting for a negative effect of sulfate (β = –0.28; P < 0.01), the direct effect of protein intake was positive (β = 0.22; P = 0.04). At the TH, protein intake predicted aBMD (β = 0.18; P = 0.03), but R2 did not improve with adjustment for sulfate (P = 0.83). PRAL and the protein:potassium ratio were not significant predictors of aBMD. Results suggest that protein intake is positively associated with aBMD, but benefit at the LS is offset by a negative impact of the protein sulfur acid load. If validated experimentally, these findings harmonize conflicting theories on the role of dietary protein in bone health.



    Introduction
 TOP
 ABSTRACT
 Introduction
 Methods
 Results
 Discussion
 LITERATURE CITED
 
Recent literature reflects discordant views on the role of dietary protein in bone health (1). Protein appears to hold an anabolic influence on bone, mediated by bone-active hormones, particularly insulin-like growth factor-1 (1), and may increase calcium absorption (2). Conversely, sulfate equivalents derived from methionine and cysteine metabolism are exchanged in the kidney for acid equivalents (3); such a dietary acid load has been demonstrated to cause bone demineralization in animals (4,5) and is associated with reduced bone mineral mass in humans (6,7).

It has been proposed that bone demineralization is promoted by a mild but chronic dietary acid load characteristic of the Western diet (7). This acid load can be characterized by nutrient intake as the estimated net endogenous acid production (NEAP),5 calculated using a ratio of protein:potassium intake (8,9) or using a function of protein, calcium, potassium, magnesium, and phosphorus intake known as the potential renal acid load (PRAL) (3,10). These methods assume the sulfur content of protein is a fixed ratio; however, it is acknowledged that the estimation of actual sulfur intakes improves estimations of dietary acid load (11,12), because actual methionine and cysteine contents vary according to protein source. Currently, nutrient databases are available that account for variation in sulfur-containing amino acids (13).

The primary aim of this study was to elucidate the role of dietary protein in bone health status as estimated by dual X-ray absorptiometry (DXA) measures of areal bone mineral density (aBMD). Diet record analysis was used to estimate intakes of total protein and sulfate from amino acids for calculation of the dietary acid load. We anticipated that although dietary protein would be positively related to aBMD, this relationship would be suppressed by a negative association of aBMD with the dietary acid load related to protein intake.


    Methods
 TOP
 ABSTRACT
 Introduction
 Methods
 Results
 Discussion
 LITERATURE CITED
 
    Participants. Our sample consisted of 161 postmenopausal women (67.9 ± 6.0 y) from Champaign County, IL participating in an ongoing study of the relation between physical activity, gait ability, and self-efficacy. Subjects were recruited using local media advertising, churches, senior centers, and health facilities. Women with neurological illness or severe orthopedic or cognitive limitations preventing physical testing for the broader study were excluded. Cross-sectional data were used for our analysis. Study participants provided written, informed consent; all study procedures met ethical standards of and were approved by the Institutional Review Board of the University of Illinois at Urbana-Champaign.

    DXA. For bone measures, women changed into medical clothing or wore light-weight clothing and removed all jewelry and other clothing except underwear. Lumbar spine (LS) and total hip (TH) aBMD were measured by DXA using a Hologic QDR 4500A bone densitometer (software version 11.2). LS scans included lumbar vertebrae L1–L4. Short- and long-term accuracy of the densitometer were verified by scanning a manufacturer's hydroxyapatite spine phantom of a known density. All DXA scans were performed by an Illinois state licensed X-ray technologist and analyzed by the same investigator trained in scan analysis by Hologic (E. M. Evans ). Precision for DXA aBMD measures of interest are 1–1.5% in our laboratory with CV% calculated from duplicate scans of both young adults and postmenopausal women.

    Dietary intake and estimation of acid load. Intake was assessed using the USDA multiple-pass 24-h dietary recall method (14,15). Participants completed an interview with researchers to screen for missed foods, portion size clarification, and recall completeness. Diet records were analyzed for total energy, protein, methionine, cysteine, and micronutrients of interest for calculation of estimated NEAP: potassium, calcium, magnesium, and phosphorus. Nutrient analysis was performed using Nutritionist Pro version 2.3.1 (First Data Bank).

Protein sulfur load was calculated as mEq/d using intakes of methionine and cystine divided by their molecular weights, as described by Frassetto et al. (8).

Formula 1(Eq. 1)

The PRAL of the diet was estimated according to the method of Remer et al. (3,10):

Formula 2(Eq. 2)

The protein:potassium ratio estimation of NEAP was calculated according to the method of Frasetto et al. (8):

Formula 3(Eq. 3)

    Statistical analyses. Distributions were assessed for normality and outliers using the Shapiro-Wilk statistic in conjunction with box plot outlier labeling (16). Correlations for energy intake, protein, protein sulfur, minerals of interest, vitamin D, aBMD, and body composition (weight, fat mass, and lean mass) were calculated for descriptive purposes.

Statistical tests followed the prescriptions of MacKinnon et al. (17) for modeling suppression and mediation effects. Mediation effects, more commonly described as intermediate endpoints in epidemiology, describe a situation where all or part of the influence of X on Y is transmitted through a 3rd, intermediate variable. Modeling these effects is similar statistically, but different conceptually from confounding variables, in which a spurious association between 2 variables is explained by a 3rd, nonintermediate variable that presumably causes both X and Y. A suppressor effect is a special case of an intermediate endpoint in which X has a direct association with Y and an indirect association, transmitted through a 3rd variable, which is opposite in sign to the direct effect (17). For example, our present hypothesis posits that protein intake will be positively associated with aBMD (the direct effect), but that a 3rd, intermediate variable, the acid load associated with protein intake, will be negatively associated with aBMD, thereby suppressing the association of protein intake with aBMD unless the model is statistically controlled for the intermediate variable.

Sulfate, PRAL, and the protein:potassium calculation were entered individually as the 2nd block of a regression equation containing dietary protein to predict aBMD of the LS and TH. The change in R2 was observed between blocks 1 and 2, indicating the improvement in the model conferred by the inclusion of respective estimates of diet acid load. A step-down regression procedure was then applied to examine the potentially confounding influences of body weight, age, physical activity, and calcium and vitamin D intakes. Because the interaction of dietary protein and calcium intakes have been reported to impact bone health (1,18), a protein by calcium interaction term was also tested for statistical control. At each step, covariates yielding P > 0.1 were removed from the model. Covariates were tested before and after the addition of sulfate to the model to ascertain any confounding influences. The variance inflation factor was observed as a test of multicolinearity.

Where change in R2 was significant, unique protein effects and sulfur-mediated protein effects were estimated and tested for significance. The "Indirect" mediation macro for SPSS by Preacher and Hayes (19) provided bootstrapped variance estimates for the indirect or sulfur-mediated effect using 10,000 resamples with replacement. To describe the individual contributions of protein and related sulfur intakes, scatter plots and least squares regression lines were produced using sample Z-scores (difference between observation and sample mean divided by SD) of aBMD and protein adjusted for sulfur, then of aBMD and sulfur, adjusted for protein (Fig. 1). Additionally, mean LS aBMD was compared for subjects split across the median for both total protein and sulfur from protein (Fig. 2). SPSS 14.0 was used in all analyses.


Figure 1
View larger version (12K):
[in this window]
[in a new window]

 
FIGURE 1  Scatter plot with least squares regression line and mean 95% CI of LS aBMD (g/cm2) with protein, adjusted for associated sulfur intake (A) and with sulfur from protein, adjusted for total protein intake (B) in postmenopausal women (n = 161). Values are sample Z-scores, adjusted by ordinary multiple regression. Regressions were also controlled for body weight. For aBMD on protein, β = 0.21; P = 0.04. For aBMD on sulfur, β = –0.28; P < 0.01.

 

Figure 2
View larger version (35K):
[in this window]
[in a new window]

 
FIGURE 2  Descriptive representation of median LS aBMD in 161 postmenopausal women with intakes above (high) and below (low) median intakes of protein and sulfur from protein.

 

    Results
 TOP
 ABSTRACT
 Introduction
 Methods
 Results
 Discussion
 LITERATURE CITED
 
Among participants, 128 (80%) were taking supplemental calcium (defined as a daily supplement containing at least 100 mg calcium), 34 (20%) were taking a prescribed osteoporosis medication, 50 (31%) were taking hormone replacement therapy, and an additional 64 (40%) had taken hormone replacement therapy in the past. One participant completed the LS scan but not the TH scan, reducing the sample size for TH tests to 160. Parametric and robust descriptive statistics are presented (Table 1), as are Spearman correlations of aBMD with protein, energy, and estimates of the diet acid load (Table 2). Protein, sulfur, PRAL, and the protein:potassium index of NEAP were positively correlated with one another (all P < 0.01), but of the dietary variables, only sulfur exhibited a significant, negative correlation with LS aBMD.


View this table:
[in this window]
[in a new window]

 
TABLE 1 Anthropometric measures, nutrient intakes, and BMD of for 161 postmenopausal women

 

View this table:
[in this window]
[in a new window]

 
TABLE 2 Correlations of dietary intakes, diet acid load estimations, and aBMD of the LS and TH in postmenopausal women

 
At the LS, the step-down procedure eliminated, in order, vitamin D (P = 0.83), calcium x protein interaction (P = 0.77), energy expended in physical activity per week (P = 0.55), age (P = 0.63), and calcium (P = 0.10), leaving only weight as a covariate in the final model (P < 0.01). In the first block, protein was not associated with LS aBMD (P = 0.81). Neither the addition of PRAL (P = 0.66) nor estimated NEAP using the protein:potassium ratio (P = 0.97) significantly improved the model fit; however, adding sulfate demonstrated a negative association of sulfur from amino acids with LS aBMD and a positive association of protein with LS aBMD (Table 3).


View this table:
[in this window]
[in a new window]

 
TABLE 3 Regression of LS aBMD (g/cm2) on protein and sulfur from protein, controlled for body weight in postmenopausal women1

 
The standardized coefficient for sulfate regressed onto protein intake was 0.69 (P < 0.01). The standardized indirect coefficient of protein, or that portion of protein's total predictive influence that is mediated by its sulfur content, was –0.19 (95% CI, –0.35, –0.04), opposite in sign and similar in magnitude to the estimated β for sulfur-controlled protein, 0.21 (Table 3). Despite correlations between protein and acid-load estimators, the largest variance inflation factor observed was 1.9 (for protein and sulfur), well below the recommended threshold of 10 for detecting problematic multicolinearity (20). The relationships of LS aBMD with protein and LS aBMD with sulfur were linear within the range of reported protein and sulfur intakes (Fig. 1).

At the TH, step-down regression removed weekly energy expended in physical activity (P = 0.95), vitamin D (P = 0.33), and the calcium x protein interaction (P = 0.26) terms, but retained age (P < 0.01), weight (P < 0.01), and calcium intake (P = 0.02) as covariates. Protein was a significant (P = 0.03), positive (β = 0.18) predictor of TH aBMD; however, no improvement in R2 was observed with the addition of PRAL (P = 0.87), estimated NEAP using the protein:potassium ratio (P = 0.29), or sulfate (P = 0.83) to the model. The largest variance inflation factor observed was 2.1.


    Discussion
 TOP
 ABSTRACT
 Introduction
 Methods
 Results
 Discussion
 LITERATURE CITED
 
Our findings suggest that, within the range of intake reported in our sample, increasing dietary protein is beneficial to aBMD of the LS and TH of postmenopausal women but that this benefit is suppressed at the LS by the dietary acid load associated with sulfur-containing amino acids. Neither the PRAL nor estimated NEAP using the protein:potassium ratio contributed to the prediction of aBMD at either site. The observed regression coefficients are small but clinically meaningful. A participant consuming mean levels of sulfate but protein at +1 SD would be predicted to have 3.2% (95% CI = 0.12–6.4) additional LS aBMD above the sample mean. Conversely, a subject consuming mean protein but +1 SD sulfate would be predicted to have 4.3% (–7.4 to –1.2) lower LS aBMD. Although further research is necessary to validate these cross-sectional data, the observed differences support hypotheses that improving intake of low-sulfate protein sources, or, alternatively, improving protein intake with a corresponding reduction in the dietary acid load, may be beneficial in osteoporosis prevention.

Protein deficiency is detrimental to bone health (21). Observational studies of bone health tend to promote a positive view of protein intakes > 0.8 g·kg–1·d–1 (2226), although not all studies are favorable (2729). Increasing protein intake elevates calcium losses in urine; in many studies, fecal calcium measures indicated no apparent compensation in calcium absorption, promoting the view that urinary calcium must reflect mineral lost from bone (30). More recently, however, Kerstetter et al. (2) have demonstrated not only increased calcium absorption but a reduction in urinary calcium of bone origin in subjects consuming 2.1 g·kg–1·d–1 protein compared with 1.0 g·kg–1·d–1 in a kinetic study using dual stable calcium isotopes. In the same study, no net differences in bone mineral mass were observed between levels of protein intake; however, there was a trend toward reduced bone turnover.

In light of the influence of protein on urinary calcium excretion, Dawson-Hughes and Harris (1,31) suggest that increased protein intake is beneficial provided that calcium intake is sufficient to support bone growth and urinary losses. Skov et al. (32) and unpublished data (M. Thorpe, D. Layman, P. Kris-Etherton, and E. Evans, researchers) from our laboratory demonstrate benefits of protein greater than recommended levels to bone mineral mass, in the presence of adequate calcium, during weight loss. In the present study, the interaction of calcium and protein intake was not significant at the LS (P = 0.77) or TH (P = 0.26).

Proposed mechanisms whereby dietary protein may enhance bone health include providing substrate for collagen deposition and increasing circulating levels of insulin-like growth factor-1, a known growth factor for bone (1). A recent prospective study by Alexy et al. (33) demonstrated improved bone health in youth with increasing protein intake. Conversely, bone status was negatively associated with the diet acid load, estimated by the PRAL, which includes estimation of the acidifying effect of dietary protein. The authors noted that this index of dietary acid load does not directly assess methionine and cysteine content of individual proteins but assumes a fixed proportion of sulfur to protein. The young, growing population is distinct in several important ways from the older population of this study, but the results illustrate a similar concept: protein is positively associated with bone mineral mass but also contributes to an acid load with negative ramifications for bone.

Total protein and protein sulfur are highly and intuitively correlated, but the actual ratio depends on protein source. Methionine is an essential amino acid and deficiency causes adverse health outcomes. However, our results suggest that the addition of lower sulfate protein to a diet that is already adequate in all essential amino acids may be beneficial in osteoporosis prevention; further research is necessary to test this hypothesis. Soy is implicated as a protein source with a low sulfur:protein ratio (13), estimated by Massey (34) at 39.8 mEq sulfur/100 g protein, compared with a mid-range 54.8 mEq sulfur/100 g protein for milk and 59.4 mEq sulfur/100 g protein for beef, and a higher 73.0 mEq sulfur/100 g protein for pork and 82.2 mEq sulfur/100 g protein for oatmeal. Experiments have tested the impact of soy protein, with and without isoflavones, on calcium balance with mixed results (3538). Alternatively increased protein from all sources in connection with enhanced intake of alkalizing nutrients may be beneficial. It has been shown that a more alkaline diet is associated with improved bone density (3943) and that supplementation of potassium bicarbonate or potassium citrate attenuates bone turnover (44,45). Jajoo et al. (46) demonstrated that replacing some cereal, an acidifying diet component, with more base-producing fruits and vegetables resulted in reduced levels of parathyroid hormone, bone resorption, and calcium excretion relative to controls.

It is conceptually important that the positive association in this sample between protein and LS aBMD, controlling for sulfur, was almost perfectly negated by the negative association of sulfate equivalents from methionine and cysteine and aBMD. This suppressor effect indicates that any study evaluating the association between protein intake and bone mineral status without controlling for actual sulfur content of protein may observe no significant correlation despite real positive and negative protein effects. A neutral combined influence of protein and sulfur on aBMD prediction would mask true effects in both studies hypothesizing detrimental acid load effects to bone and studies hypothesizing beneficial effects of dietary protein. This suppressor effect might explain the discordance of reports concerning the impact of dietary protein or acid load on bone health. Likewise, it is possible that uncontrolled influences of the total dietary acid load might explain conflicting reports. If true, this would suggest that future studies of associations between protein intake and bone density must account for the dietary acid load to produce unbiased results.

Our results suggest that direct estimation of sulfur from amino acids may perform better than the protein:potassium ratio or PRAL in studies of acid-base balance and bone mineral mass. These constructs were developed and validated for the estimation of the acidifying influence of dietary intake (3,810). However, because each estimates the acidifying effect of protein as a fixed ratio of total protein intake, they may not be well suited to the investigation of bone, where the negative acid effect seems to be opposed by an anabolic protein effect. Indeed, our results suggest that the negative and positive effects of protein may neatly cancel out one another at the LS, leaving the estimated influence on bone of total protein, as used in the protein:potassium ratio and PRAL, neutral despite otherwise reliable estimations of dietary acid load. The PRAL is also a function of calcium and phosphorus intake, which have well-established influences on the calcium economy (47). These factors may further confound the influence of the PRAL on bone. In light of these complex associations, it may be advisable to use direct intakes of protein, amino-acid sulfur (the acidifying agent of protein), and other relevant minerals such as potassium in lieu of estimated NEAP when calcium balance or bone mineral mass are investigated.

It is not clear why this suppressive association of sulfur intake would describe aBMD at the LS and not at the TH, although differences in the response of these 2 sites are commonly reported (4850). The change in R2 at the LS indicated a small likelihood of a type I error or inappropriate rejection of the null hypothesis that sulfur intake does not predict aBMD. Conversely, a post hoc power analysis of the regression at the hip was performed and indicated a power of 0.74 to detect an improvement in R2 as large as that observed at the spine. Though it is not entirely improbable that our regression failed to detect a true difference at the hip, it is very possible that a real difference between protein associations at the hip and spine explain divergent findings. Differences in observations between these measurement sites may relate to differing levels of trabecular compared with cortical bone content; specifically, the ratio of trabecular:cortical bone is greater at the spine than at the hip. It has been theorized that trabecular bone, being more metabolically active, may be more sensitive to dietary intervention, at least in the short term (51,52). However, a post hoc analysis of the trochanter subregion, with a greater proportion of trabecular bone, did not mimic the findings at the LS in this sample (data not shown). Alternatively, it is possible that the weight-bearing load at the hip during ambulation may blunt the effects of dietary factors.

This study is not without limitations; the constraints of cross-sectional data are recognized. This research is performed in the context of a broader body of literature suggesting causal connections between protein intake and bone mineral mass (31,32), sulfate intake and acid-base balance (53,54), and acid base balance and bone demineralization (46,44,55). The results are theoretically consistent and harmonize apparently conflicting research; however, this observational study offers no basis for new causal inference and is best interpreted as a rationale for additional investigation.

In conclusion, protein intake is positively associated with aBMD in postmenopausal women, but this association is suppressed by a negative association of sulfur from amino acids at the LS. This observation may reconcile reports of positive impacts of dietary protein on bone health with reports of a negative impact of the acid load from sulfur-containing amino acids. At the TH, dietary protein intake is positively associated with aBMD and may not exhibit the same negative association with sulfur from protein as observed at the spine. These results highlight the need to evaluate actual sulfur contents of varying dietary protein sources rather than assuming a fixed ratio of sulfur:protein. Future research in this line of inquiry should evaluate the role of dietary protein in preserving bone health in populations at higher risk for fracture such as the elderly.


    FOOTNOTES
 
1 Supported by National Institute on Aging Grant R01 AG20118 to Edward McAuley. Back

2 Author disclosures: M. Thorpe, M. C. Mojtahedi, K. Chapman-Novakofski, E. McAuley, and E. M. Evans, no conflicts of interest. Back

5 Abbreviations used: aBMD, areal bone mineral density; DXA, dual X-ray absorptiometry; LS, lumbar spine; NEAP, net endogenous acid production; PRAL, potential renal acid load; TH, total hip. Back

Manuscript received 21 August 2007. Initial review completed 13 September 2007. Revision accepted 9 October 2007.


    LITERATURE CITED
 TOP
 ABSTRACT
 Introduction
 Methods
 Results
 Discussion
 LITERATURE CITED
 

1. Dawson-Hughes B. Interaction of dietary calcium and protein in bone health in humans. J Nutr. 2003;133:S852–4.[Abstract/Free Full Text]

2. Kerstetter JE, O'Brien KO, Caseria DM, Wall DE, Insogna KL. The impact of dietary protein on calcium absorption and kinetic measures of bone turnover in women. J Clin Endocrinol Metab. 2005;90:26–31.[Abstract/Free Full Text]

3. Remer T, Manz F. Potential renal acid load of foods and its influence on urine pH. J Am Diet Assoc. 1995;95:791–7.[Medline]

4. Barzel US, Massey LK. Excess dietary protein can adversely affect bone. J Nutr. 1998;128:1051–3.[Abstract/Free Full Text]

5. Macleay JM, Olson JD, Turner AS. Effect of dietary-induced metabolic acidosis and ovariectomy on bone mineral density and markers of bone turnover. J Bone Miner Metab. 2004;22:561–8.[Medline]

6. Lemann J Jr, Bushinsky DA, Hamm LL. Bone buffering of acid and base in humans. Am J Physiol Renal Physiol. 2003;285:F811–32.[Abstract/Free Full Text]

7. New SA. Intake of fruit and vegetables: implications for bone health. Proc Nutr Soc. 2003;62:889–99.[Medline]

8. Frassetto LA, Todd KM, Morris RC Jr, Sebastian A. Estimation of net endogenous noncarbonic acid production in humans from diet potassium and protein contents. Am J Clin Nutr. 1998;68:576–83.[Abstract]

9. Frassetto LA, Lanham-New SA, Macdonald HM, Remer T, Sebastian A, Tucker KL, Tylavsky FA. Standardizing terminology for estimating the diet-dependent net acid load to the metabolic system. J Nutr. 2007;137:1491–2.[Free Full Text]

10. Remer T, Dimitriou T, Manz F. Dietary potential renal acid load and renal net acid excretion in healthy, free-living children and adolescents. Am J Clin Nutr. 2003;77:1255–60.[Abstract/Free Full Text]

11. Remer T, Manz F. Paleolithic diet, sweet potato eaters, and potential renal acid load. Am J Clin Nutr. 2003;78:802–3.[Free Full Text]

12. Sebastian A, Frassetto LA, Sellmeyer DE, Merriam RL, Morris RC Jr. Estimation of the net acid load of the diet of ancestral preagricultural homo sapiens and their hominid ancestors. Am J Clin Nutr. 2002;76:1308–16.[Abstract/Free Full Text]

13. USDA, Agricultural Research Service [database on the Internet]. USDA nutrient database for standard reference, release 19 c2006 [cited 2007 13 July]. Available from: <http://www.ars.usda.gov/ba/bhnrc/ndl>.

14. Conway JM, Ingwersen LA, Moshfegh AJ. Accuracy of dietary recall using the USDA five-step multiple-pass method in men: an observational validation study. J Am Diet Assoc. 2004;104:595–603.[Medline]

15. Conway JM, Ingwersen LA, Vinyard BT, Moshfegh AJ. Effectiveness of the US department of agriculture 5-step multiple-pass method in assessing food intake in obese and nonobese women. Am J Clin Nutr. 2003;77:1171–8.[Abstract/Free Full Text]

16. Thode HC. Testing for normality. New York: Marcel Dekker; 2002.

17. MacKinnon DP, Krull JL, Lockwood CM. Equivalence of the mediation, confounding and suppression effect. Prev Sci. 2000;1:173–81.[Medline]

18. Heaney RP. Excess dietary protein may not adversely affect bone. J Nutr. 1998;128:1054–7.[Abstract/Free Full Text]

19. Preacher KJ, Hayes AF. SPSS and SAS procedures for estimating indirect effects in simple mediation models. Behav Res Methods Instrum Comput. 2004;36:717–31.[Medline]

20. Myers R. Classical and modern regression with applications. 2nd ed. Boston: Duxbury; 1990.

21. Bonjour JP. Dietary protein: an essential nutrient for bone health. J Am Coll Nutr. 2005; 24 Suppl 6:S526–36.[Abstract/Free Full Text]

22. Schurch MA, Rizzoli R, Slosman D, Vadas L, Vergnaud P, Bonjour JP. Protein supplements increase serum insulin-like growth factor-I levels and attenuate proximal femur bone loss in patients with recent hip fracture. A randomized, double-blind, placebo-controlled trial. Ann Intern Med. 1998;128:801–9.[Abstract/Free Full Text]

23. Munger RG, Cerhan JR, Chiu BC. Prospective study of dietary protein intake and risk of hip fracture in postmenopausal women. Am J Clin Nutr. 1999;69:147–52.[Abstract/Free Full Text]

24. Hannan MT, Tucker KL, Dawson-Hughes B, Cupples LA, Felson DT, Kiel DP. Effect of dietary protein on bone loss in elderly men and women: The Framingham Osteoporosis Study. J Bone Miner Res. 2000;15:2504–12.[Medline]

25. Promislow JH, Goodman-Gruen D, Slymen DJ, Barrett-Connor E. Protein consumption and bone mineral density in the elderly: The Rancho Bernardo Study. Am J Epidemiol. 2002;155:636–44.[Abstract/Free Full Text]

26. Wengreen HJ, Munger RG, West NA, Cutler DR, Corcoran CD, Zhang J, Sassano NE. Dietary protein intake and risk of osteoporotic hip fracture in elderly residents of utah. J Bone Miner Res. 2004;19:537–45.[Medline]

27. Feskanich D, Willett WC, Stampfer MJ, Colditz GA. Protein consumption and bone fractures in women. Am J Epidemiol. 1996;143:472–9.[Abstract/Free Full Text]

28. Frassetto LA, Todd KM, Morris RC Jr, Sebastian A. Worldwide incidence of hip fracture in elderly women: relation to consumption of animal and vegetable foods. J Gerontol A Biol Sci Med Sci. 2000;55:M585–92.[Abstract/Free Full Text]

29. Weikert C, Walter D, Hoffmann K, Kroke A, Bergmann MM, Boeing H. The relation between dietary protein, calcium and bone health in women: results from the EPIC-Potsdam cohort. Ann Nutr Metab. 2005;49:312–8.[Medline]

30. Kerstetter JE, O'Brien KO, Insogna KL. Low protein intake: the impact on calcium and bone homeostasis in humans. J Nutr. 2003;133:S855–61.[Abstract/Free Full Text]

31. Dawson-Hughes B, Harris SS. Calcium intake influences the association of protein intake with rates of bone loss in elderly men and women. Am J Clin Nutr. 2002;75:773–9.[Abstract/Free Full Text]

32. Skov AR, Haulrik N, Toubro S, Molgaard C, Astrup A. Effect of protein intake on bone mineralization during weight loss: a 6-month trial. Obes Res. 2002;10:432–8.[Medline]

33. Alexy U, Remer T, Manz F, Neu CM, Schoenau E. Long-term protein intake and dietary potential renal acid load are associated with bone modeling and remodeling at the proximal radius in healthy children. Am J Clin Nutr. 2005;82:1107–14.[Abstract/Free Full Text]

34. Massey LK. Dietary animal and plant protein and human bone health: a whole foods approach. J Nutr. 2003;133:S862–5.[Abstract/Free Full Text]

35. Spence LA, Lipscomb ER, Cadogan J, Martin B, Wastney ME, Peacock M, Weaver CM. The effect of soy protein and soy isoflavones on calcium metabolism in postmenopausal women: a randomized crossover study. Am J Clin Nutr. 2005;81:916–22.[Abstract/Free Full Text]

36. Zemel MB. Calcium utilization: effect of varying level and source of dietary protein. Am J Clin Nutr. 1988; 48 Suppl 3:880–3.[Abstract/Free Full Text]

37. Kerstetter JE, Wall DE, O'Brien KO, Caseria DM, Insogna KL. Meat and soy protein affect calcium homeostasis in healthy women. J Nutr. 2006;136:1890–5.[Abstract/Free Full Text]

38. Roughead ZK, Hunt JR, Johnson LK, Badger TM, Lykken GI. Controlled substitution of soy protein for meat protein: effects on calcium retention, bone, and cardiovascular health indices in postmenopausal women. J Clin Endocrinol Metab. 2005;90:181–9.[Abstract/Free Full Text]

39. New SA, Bolton-Smith C, Grubb DA, Reid DM. Nutritional influences on bone mineral density: a cross-sectional study in premenopausal women. Am J Clin Nutr. 1997;65:1831–9.[Abstract/Free Full Text]

40. New SA, Robins SP, Campbell MK, Martin JC, Garton MJ, Bolton-Smith C, Grubb DA, Lee SJ, Reid DM. Dietary influences on bone mass and bone metabolism: further evidence of a positive link between fruit and vegetable consumption and bone health? Am J Clin Nutr. 2000;71:142–51.[Abstract/Free Full Text]

41. Tucker KL, Hannan MT, Chen H, Cupples LA, Wilson PW, Kiel DP. Potassium, magnesium, and fruit and vegetable intakes are associated with greater bone mineral density in elderly men and women. Am J Clin Nutr. 1999;69:727–36.[Abstract/Free Full Text]

42. Macdonald HM, New SA, Fraser WD, Campbell MK, Reid DM. Low dietary potassium intakes and high dietary estimates of net endogenous acid production are associated with low bone mineral density in premenopausal women and increased markers of bone resorption in postmenopausal women. Am J Clin Nutr. 2005;81:923–33.[Abstract/Free Full Text]

43. New SA, MacDonald HM, Campbell MK, Martin JC, Garton MJ, Robins SP, Reid DM. Lower estimates of net endogenous non-carbonic acid production are positively associated with indexes of bone health in premenopausal and perimenopausal women. Am J Clin Nutr. 2004;79:131–8.[Abstract/Free Full Text]

44. Sellmeyer DE, Schloetter M, Sebastian A. Potassium citrate prevents increased urine calcium excretion and bone resorption induced by a high sodium chloride diet. J Clin Endocrinol Metab. 2002;87:2008–12.[Abstract/Free Full Text]

45. Marangella M, Di Stefano M, Casalis S, Berutti S, D'Amelio P, Isaia GC. Effects of potassium citrate supplementation on bone metabolism. Calcif Tissue Int. 2004;74:330–5.[Medline]

46. Jajoo R, Song L, Rasmussen H, Harris SS, Dawson-Hughes B. Dietary acid-base balance, bone resorption, and calcium excretion. J Am Coll Nutr. 2006;25:224–30.[Abstract/Free Full Text]

47. Calvo MS. Dietary phosphorus, calcium metabolism and bone. J Nutr. 1993;123:1627–33.[Abstract/Free Full Text]

48. Sahota O, Pearson D, Cawte SW, San P, Hosking DJ. Site-specific variation in the classification of osteoporosis, and the diagnostic reclassification using the lowest individual lumbar vertebra T-score compared with the L1–L4 mean, in early postmenopausal women. Osteoporos Int. 2000;11:852–7.[Medline]

49. Aoki TT, Grecu EO, Srinivas PR, Prescott P, Benbarka M, Arcangeli MM. Prevalence of osteoporosis in women: variation with skeletal site of measurement of bone mineral density. Endocr Pract. 2000;6:127–31.[Medline]

50. Moschonis G, Manios Y. Skeletal site-dependent response of bone mineral density and quantitative ultrasound parameters following a 12-month dietary intervention using dairy products fortified with calcium and vitamin D: The Postmenopausal Health Study. Br J Nutr. 2006;96:1140–8.[Medline]

51. Erdman JW Jr, Stillman RJ, Boileau RA. Provocative relation between soy and bone maintenance. Am J Clin Nutr. 2000;72:679–80.[Free Full Text]

52. Baeksgaard L, Andersen KP, Hyldstrup L. Calcium and vitamin D supplementation increases spinal BMD in healthy, postmenopausal women. Osteoporos Int. 1998;8:255–60.[Medline]

53. Remer T, Manz F. Estimation of the renal net acid excretion by adults consuming diets containing variable amounts of protein. Am J Clin Nutr. 1994;59:1356–61.[Abstract/Free Full Text]

54. Remer T. Influence of diet on acid-base balance. Semin Dial. 2000;13:221–6.[Medline]

55. Sebastian A, Harris ST, Ottaway JH, Todd KM, Morris RC Jr. Improved mineral balance and skeletal metabolism in postmenopausal women treated with potassium bicarbonate. N Engl J Med. 1994;330:1776–81.[Abstract/Free Full Text]




This article has been cited by other articles:


Home page
J. Nutr.Home page
E. Wynn, S. A. Lanham-New, M.-A. Krieg, D. R. Whittamore, and P. Burckhardt
Low Estimates of Dietary Acid Load Are Positively Associated with Bone Ultrasound in Women Older Than 75 Years of Age with a Lifetime Fracture
J. Nutr., July 1, 2008; 138(7): 1349 - 1354.
[Abstract] [Full Text] [PDF]


This Article
Right arrow Abstract Freely available
Right arrow Full Text (PDF)
Right arrow Purchase Article
Right arrow View Shopping Cart
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Services
Right arrow Similar articles in this journal
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Download to citation manager
Right arrow reprints & permissions
Citing Articles
Right arrow Citing Articles via HighWire
Right arrow Citing Articles via Google Scholar
Google Scholar
Right arrow Articles by Thorpe, M.
Right arrow Articles by Evans, E. M.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Thorpe, M.
Right arrow Articles by Evans, E. M.


Home Help [Feedback] [For Subscribers] [Archive] [Search] [Contents]
Copyright © 2008 by American Society for Nutrition