Relation of bone mineral density and content to mineral content and density of the fat-free mass

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.

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.


2019 ◽  
Vol 3 (Supplement_1) ◽  
Author(s):  
Kiley Field ◽  
John Gieng ◽  
Giselle Pignotti ◽  
Sofia Apsey

Abstract Objectives The relationship between the inflammatory potential of the diet, estimated by the Dietary Inflammatory Index (DII) score, and bone health has been studied in older populations and suggests that the diet can influence bone mineral density (BMD) and fracture risk. These relationships have yet to be explored in other potentially vulnerable populations, such as athletes, where risk of injuries may be more common due to high physical stresses and over-use. The aims of this study were 1) to examine the correlation between DII scores, and BMD in collegiate athletes, and 2) to assess the relationship between DII score and self-reported prior injury incidence. Methods Healthy collegiate athletes (n = 43) were recruited for this study: football, n = 12; men's soccer, n = 2; women's soccer, n = 13; women's swimming, n = 12; and women's basketball, n = 4. For each athlete, three 24-hour dietary intakes were collected using a standardized multiple-pass interview methodology (Nutrition Data System for Research) and this data was used to calculate individual DII scores. Body composition, including whole-body sub-total BMD, was measured using dual-energy X-ray absorptiometry. A modified overuse injury questionnaire (Oslo Sports Trauma Research Centre) was used to assess incidence of injuries in the prior 12 months. Results The participants (n = 14 male, n = 29 female) had a mean age of 19.4 ± 1.1 yrs and BMI of 25.8 ± 4.1 kg/m2. Mean DII score was −0.43 ± 0.17 points (range: −3.94 to 4.34). Mean BMD was 1.251 ± 0.169 g/cm2. Overall, DII score and BMD was not correlated (P = 0.47). Furthermore, DII scores of athletes that reported no prior injury did not differ from those who reported 1 or more injuries. Conclusions Unlike research in postmenopausal women, it appears that bone health of young healthy athletes is less vulnerable to the influence of diets with higher inflammatory potential. Moreover, the lack of difference in DII score among athletes reporting various levels of prior injury suggests that the inflammatory potential of the diet is a poor predictor of injury risk in collegiate athletes. Funding Sources N/A.


2017 ◽  
Vol 29 (4) ◽  
pp. 513-519 ◽  
Author(s):  
Ammar Nebigh ◽  
Mohamed Elfethi Abed ◽  
Rihab Borji ◽  
Sonia Sahli ◽  
Slaheddine Sellami ◽  
...  

The aim of this study was to examine the relationship between bone mass and bone turnover markers with lean mass (LM) in pubescent soccer players. Two groups participated in this study, which included 65 elite young soccer players who trained for 6–8 hours per week and 60 controls. Bone mineral density; bone mineral content in the whole body, lower limbs, lumbar spine, and femoral neck; biochemical markers of osteocalcin; bone-specific alkaline phosphatase; C-telopeptide type I collagen; and total LM were assessed. Young soccer players showed higher bone mineral density and bone mineral content in the whole body and weight-bearing sites (P < .001). Indeed, the total LM correlated with whole-body bone mineral density and bone mineral content (P < .001). There were significant differences within the bone formation markers and osteocalcin (formation)/C-telopeptide type I collagen (resorption) ratio between young soccer players compared with the control group, but no significant difference in C-telopeptide type I collagen was observed between the 2 groups. This study showed a significant positive correlation among bone-specific alkaline phosphatase, osteocalcin, and total LM (r = .29; r = .31; P < .05) only for the young soccer players. Findings of this study highlight the importance of soccer practice for bone mineral parameters and bone turnover markers during the puberty stage.


2018 ◽  
Vol 15 (7) ◽  
pp. 516-522 ◽  
Author(s):  
Alessandra Madia Mantovani ◽  
Manoel Carlos Spiguel de Lima ◽  
Luis Alberto Gobbo ◽  
Enio Ricardo Vaz Ronque ◽  
Marcelo Romanzini ◽  
...  

Purpose: To analyze the relationship between engagement in sports in early life and bone variables among adults of both sexes. Methods: The sample was composed of 225 men and women. Demographic data were collected, and dual-energy X-ray absorptiometry was used to assess bone mineral density, bone mineral content, and lean soft tissue. Sports participation in early life was assessed by an interview including childhood and adolescence. Consumption of tobacco and alcohol was also assessed by interview and the habitual physical activity level by a pedometer. Results: Inactive men had bone mineral content around 11% lower than active men in childhood or adolescence, whereas for women, this difference represented around 14%. Active men had 74% less fat mass than inactive men in early life, and the difference was 67% for women. Early sports participation explained the differences in whole-body bone mineral content (16.8%, P-value = .005) and bone mineral density (8.8%, P-value = .015), as well as bone mineral density in lower limbs (18.9%, P-value = .001) among women. Conclusion: Adults engaged in sports in early life have higher bone mass than their inactive peers, especially women.


2013 ◽  
Author(s):  
N Hangartner Thomas ◽  
F Short David ◽  
Gilsanz Vicente ◽  
J Kalkwarf Heidi ◽  
M Lappe Joan ◽  
...  

2020 ◽  
pp. 026010602097524
Author(s):  
Darren G Candow ◽  
Philip D Chilibeck ◽  
Julianne Gordon ◽  
Emelie Vogt ◽  
Tim Landeryou ◽  
...  

Background: The combination of creatine supplementation and resistance training (10–12 weeks) has been shown to increase bone mineral content and reduce a urinary indicator of bone resorption in older males compared with placebo. However, the longer-term effects (12 months) of creatine and resistance training on bone mineral density and bone geometric properties in older males is unknown. Aim: To assess the effects of 12 months of creatine supplementation and supervised, whole-body resistance training on bone mineral density, bone geometric properties, muscle accretion, and strength in older males. Methods: Participants were randomized to supplement with creatine ( n = 18, 49–69 years, 0.1 g·kg-1·d-1) or placebo ( n = 20, 49–67 years, 0.1 g·kg-1·d-1) during 12 months of supervised, whole-body resistance training. Results: After 12 months of training, both groups experienced similar changes in bone mineral density and geometry, bone speed of sound, lean tissue and fat mass, muscle thickness, and muscle strength. There was a trend ( p = 0.061) for creatine to increase the section modulus of the narrow part of the femoral neck, an indicator of bone bending strength, compared with placebo. Adverse events did not differ between creatine and placebo. Conclusions: Twelve months of creatine supplementation and supervised, whole-body resistance training had no greater effect on measures of bone, muscle, or strength in older males compared with placebo.


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