scholarly journals The Effects of a High-Protein Diet on Bone Mineral Density in Exercise-Trained Women: A 1-Year Investigation

2018 ◽  
Vol 3 (4) ◽  
pp. 62
Author(s):  
Jose Antonio ◽  
Anya Ellerbroek ◽  
Cassandra Carson

The effects of long-term high-protein consumption (i.e., >2.2 g/kg/day) are unclear as it relates to bone mineral content. Thus, the primary endpoint of this investigation was to determine if consuming a high-protein diet for one year affected various parameters of body composition in exercise-trained women. This investigation is a follow-up to a prior 6-month study. Subjects were instructed to consume a high-protein diet (>2.2 g/kg/day) for one year. Body composition was assessed via dual-energy X-ray absorptiometry (DXA). Subjects were instructed to keep a food diary (i.e., log their food ~three days per week for a year) via the mobile app MyFitnessPal®. Furthermore, a subset of subjects had their blood analyzed (i.e., basic metabolic panel). Subjects consumed a high-protein diet for one year (mean ± SD: 2.3 ± 1.1 grams per kilogram body weight daily [g/kg/day]). There were no significant changes for any measure of body composition over the course of the year (i.e., body weight, fat mass, lean body mass, percent fat, whole body bone mineral content, whole body T-score, whole body bone mineral density, lumbar bone mineral content, lumbar bone mineral density and lumbar T-score). In addition, we found no adverse effects on kidney function. Based on this 1-year within-subjects investigation, it is evident that a diet high in protein has no adverse effects on bone mineral density or kidney function.

2015 ◽  
Vol 4 ◽  
Author(s):  
Patrice L. Capers ◽  
Hyacinth I. Hyacinth ◽  
Shayla Cue ◽  
Prasanthi Chappa ◽  
Tatyana Vikulina ◽  
...  

AbstractKey pathophysiology of sickle cell anaemia includes compensatory erythropoiesis, vascular injury and chronic inflammation, which divert amino acids from tissue deposition for growth/weight gain and muscle formation. We hypothesised that sickle mice maintained on an isoenergetic diet with a high percentage of energy derived from protein (35 %), as opposed to a standard diet with 20 % of energy derived from protein, would improve body composition, bone mass and grip strength. Male Berkeley transgenic sickle mice (S;n8–12) were fed either 20 % (S20) or 35 % (S35) diets for 3 months. Grip strength (BIOSEB meter) and body composition (dual-energy X-ray absorptiometry scan) were measured. After 3 months, control mice had the highest bone mineral density (BMD) and bone mineral content (BMC) (P < 0·005). S35 mice had the largest increase in grip strength. A two-way ANOVA of change in grip strength (P = 0·043) attributed this difference to genotype (P = 0·025) and a trend in type of diet (P = 0·067).l-Arginine (l-Arg) supplementation of the 20 % diet was explored, as a possible mechanism for improvement obtained with the 35 % diet. Townes transgenic sickle mice (TS;n6–9) received 0·8, 1·6, 3·2 or 6·4 %l-Arg based on the same protocol and outcome measures used for the S mice. TS mice fed 1·6 %l-Arg for 3 months (TS1.6) had the highest weight gain, BMD, BMC and lean body mass compared with other groups. TS3.2 mice showed significantly more improvement in grip strength than TS0·8 and TS1.6 mice (P < 0·05). In conclusion, the high-protein diet improved body composition and grip strength. Outcomes observed with TS1.6 and TS3.2 mice, respectively, confirm the hypothesis and reveall-Arg as part of the mechanism.


1996 ◽  
Vol 82 (1) ◽  
pp. 65-67 ◽  
Author(s):  
Sandro Barni ◽  
Paolo Lissoni ◽  
Gabriele Tancini ◽  
Antonio Ardizzoia ◽  
Marina Cazzaniga

In this study, the authors have analyzed the possible effects of one-year adjuvant treatment with tamoxifen on bone mineral density in postmenopausal breast cancer women. Bone mineral content was studied by photon absorptiometry (I-125), whereas bone balance was analyzed indirectly by serum PTH, osteocalcin, calcitonin, calcium and alkaline phosphatase levels. Bone mineral content and serum bone-related substances were measured before starting treatment and after one year. Results were analyzed using Student's t test for paired data. No difference was found between the two measurements for bone mineral content, PTH, calcitonin, calcium and alkaline phosphatase levels. Measurements at entry and after one year of treatment showed a statistically significant difference ( P < 0.001) only for osteocalcin. In accordance with other authors, we can conclude that treatment with tamoxifen does not cause an increase in menopausal bone resorption. The finding that osteocalcin levels decreased after one year of therapy with tamoxifen is interesting, but further studies are necessary to clarify the role of such levels in predicting a turnover of bone balance towards osteoblastic activity.


2001 ◽  
Vol 91 (5) ◽  
pp. 2166-2172 ◽  
Author(s):  
Ellen M. Evans ◽  
Barry M. Prior ◽  
Sigurbjorn A. Arngrimsson ◽  
Christopher M. Modlesky ◽  
Kirk J. Cureton

Differences in the mineral fraction of the fat-free mass (MFFM) and in the density of the FFM (DFFM) are often inferred from measures of bone mineral content (BMC) or bone mineral density (BMD). We studied the relation of BMC and BMD to the MFFM and DFFM in a heterogeneous sample of 216 young men ( n = 115) and women ( n = 101), which included whites ( n = 155) and blacks ( n = 61) and collegiate athletes ( n = 132) and nonathletes ( n = 84). Whole body BMC and BMD were determined by dual-energy X-ray absorptiometry (DXA; Hologic QDR-1000W, enhanced whole body analysis software, version 5.71). FFM was estimated using a four-component model from measures of body density by hydrostatic weighing, body water by deuterium dilution, and bone mineral by DXA. There was no significant relation of BMD to MFFM( r = 0.01) or DFFM ( r = −0.06) or of BMC to MFFM ( r = −0.11) and a significant, weak negative relation of BMC to DFFM( r = −0.14, P = 0.04) in all subjects. Significant low to moderate relationships of BMD or BMC to MFFM or DFFM were found within some gender-race-athletic status subgroups or when the effects of gender, race, and athletic status were held constant using multiple regression, but BMD and BMC explained only 10–17% of the variance in MFFM and 0–2% of the variance in DFFM in addition to that explained by the demographic variables. We conclude that there is not a significant positive relation of BMD and BMC to MFFM or DFFM in young adults and that BMC and BMD should not be used to infer differences in MFFM or DFFM.


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