Literature DB >> 29977140

RELATIONSHIP BETWEEN BONE MINERAL DENSITY AND BODY COMPOSITION IN ELDERLY.

Angélica Castilho Alonso1,2, Tuane Andreatta Gonçalves1, Jenifer Kristina Alves DE Almeida2, Adriana Machado-Lima1,2, Rita DE Cássia Ernandes2, Julia Maria D'Andréa Greve1, Luiz Eugênio Garcez-Leme1,3.   

Abstract

OBJECTIVE: To evaluate the association between bone mineral density (BMD) and body composition in healthy older adults at different skeletal sites.
METHODS: We analyzed 87 medical records and BMD along with the body composition of men ranging from 60 to 87 years of age (mean: 68.5, standard deviation: 6.5). Inclusion criteria were normal BMD values (T-score greater than or equal to -1.0) and body mass index within normal or overweight range (18.5 to 29.5 kg/m2). Body composition was evaluated using bone densitometry with dual-energy X-ray absorptiometry (DEXA) in a LUNAR-DPX apparatus.
RESULTS: Greater lean mass, fat mass, and soft tissue was associated with better BMD values in older adults, and higher age was associated with poorer BMD.
CONCLUSION: Body composition (lean and fat masses and soft tissue) in older men is positively associated with BMD at all body sites (arms, legs, and trunk). Level of Evidence II; Prognostic studies - Investigating the effect of a patient characteristic on the outcome of disease.

Entities:  

Keywords:  Aged; Body composition; Bone density; Densitometry; Osteoporosis

Year:  2018        PMID: 29977140      PMCID: PMC6025492          DOI: 10.1590/1413-785220182601182340

Source DB:  PubMed          Journal:  Acta Ortop Bras        ISSN: 1413-7852            Impact factor:   0.513


INTRODUCTION

According to Rodrigues-Filho et al., maintenance of bone mineral density (BMD) is very important to prevent osteoporosis, which is characterized by an imbalance between the activity of the osteoblastic and osteoclastic cells; in other words, the matrix and the bone minerals are lost due to excessive bone resorption in comparison with formation. In order for adequate bone mineralization to occur, three interrelated factors must be present: the levels of circulating hormones that act in the process of calcification, mechanical load imposed on the skeleton, and adequate intake and production of calcium and vitamin D. , The prevalence of osteoporosis in the United States is 10.2 million in people aged 50 years or older. The risk of fracture coincides with a high risk of morbidity and early mortality. In Brazil, a study involving individuals aged 70 years or above found that the prevalence of osteoporosis in the femoral neck was 33% in women and 16% in men. Excess body weight may have a preventive effect and the ability to modify the process of bone resorption. The possibility of developing osteoporosis is known to be lower when the BMI is higher, but obesity has adverse pathophysiological consequences for the bones and skeletal muscle. For example, the infiltration of intramuscular fat, which is part of the aging process, is associated with muscle weakness, and consequently increased risk of fracture. - Body weight is substantially composed of lean mass and fat mass, and the relative contribution of these masses to BMD continues to be a controversial issue. - , The goal of this study, therefore, was to assess the association between BMD and body composition in healthy older individuals within normal or overweight BMI ranges at different skeletal sites.

METHODS

Sample

We analyzed 87 medical records and BMD evaluations as well as body composition of elderly male group patients in the Geriatrics Group at the Instituto de Ortopedia e Traumatologia (IOT) at the Faculdade de Medicina da Universidade de São Paulo (USP). All the evaluations were performed by a specialized team using the same machine in the IOT Radiology Department and the reports were emitted by the physician in charge from 2001 to 2015. The inclusion criteria were BMD within normal values (T-score greater than or equal to -1.0) and BMI within normal or overweight range (18.5 to 29.5kg/m2). This cross-sectional study was approved by the institutional review board at the Universidade de São Paulo (CAPesq no. 1167/06).

BMD and body composition testing

Body composition was assessed through densitometry with dual-energy X-ray absorptiometry (DEXA) in a LUNAR-DPX device (Madison Corporation, USA).

Statistical analysis

The data were entered and analyzed in SPSS 20.0 software. The Kolmogorov-Smirnov test was used to assess whether the continuous quantitative variables presented normal distribution. Spearman’s correlation coefficient was used to correlate the dependent variable (BMD) with the independent variables (anthropometric characteristics and body composition). An alpha of 5% was used for all statistical tests.

RESULTS

The characteristics of the individuals who participated in the study are described in Table 1.
Table 1

Characteristics of the study population (anthropometric characteristics and age).

Variable Older adults
Mean (SD)MinimumMaximum
Age (years)68.5(6.5)6087
Anthropometric characteristics
Height (cm)164.7(5.5)155180
Weight (kg)65.4(7.0)4981
BMI (kg/m2)24.0(2.2)19.829.8
The data presented in Table 2 show that age had a negative influence on BMD, with the increased age associated with lower BMD. The anthropometric variables all had a positive correlation with BMD, particularly body mass and consequently BMI, with higher values for body weight and BMI corresponding to an increase in BMD.
Table 2

Correlation between bone mineral density (BMD) and anthropometric variables.

Variable Group of older adults
N = 87
BMD (g/cm2) r(p)
Age -.263(0.01)*
Anthropometric characteristic
Height (cm).221(0.04)*
Weight (kg).630(p≤0.001)*
BMI (kg/m2).576(p≤0.001)*

r - Spearman’s correlation coefficient, p≤0.05. BMD= bone mineral density; BMI= body mass index.

r - Spearman’s correlation coefficient, p≤0.05. BMD= bone mineral density; BMI= body mass index. Table 3 shows the correlation between BMD in different sites with lean mass, fat mass, and soft tissue, and all these variables showed a positive correlation with BMD.
Table 3

Correlation between bone mineral density (BMD) and body composition.

Group of older adults
N = 87
RegionVariableBMD (g/cm 2 ) r (p)
ArmFat mass (%).264(0.01)*
Soft tissue (g).621(p≤0.001)*
Fat mass (g).432p≤0.001)*
Lean mass (g).579(p≤0.001)*
LegFat mass (%).175(0.11)
Soft tissue (g).547(p≤0.001)*
Fat mass (g).352 (0.01)*
Lean mass (g).472(p≤0.001) *
TrunkFat mass (%).370(.001)*
Soft tissue (g).550(p≤0.001) *
Fat mass (g).422 (p≤0.001)*
Lean mass (g).482(p≤0.001)*
Body -TotalFat mass (%).340(.002)*
Soft tissue (g).600(p≤0.001)*
Fat mass (g).439(p≤0.001)*
Lean mass (g).528(p≤0.001) *

r - Spearman’s correlation coefficient, p≤0.05. BMD= bone mineral density.

r - Spearman’s correlation coefficient, p≤0.05. BMD= bone mineral density.

DISCUSSION

The main finding of this study was that body composition (lean and fat mass and soft tissue) is associated with BMD in older men. There was a negative correlation between age and BMD, namely, greater age was correlated with lower BMD, corroborating the work of Biana et al., who claimed that this mainly occurs at the end of the last decade of life, and may correspond to 5-10% of total bone mass/decade. The reasons for this may include nutritional deficiencies, some chronic diseases, and lack of exercise. Lean mass, fat mass, and soft tissue mass were positively associated with BMD. This means that body composition promotes mechanical load on the bone, inducing the formation of osteoblasts and the piezoelectric effect; this positive relationship has already been demonstrated in another study. , , It is agreed that lean mass has a positive impact on bone quality; , - in this study lean mass had higher correlation values than the other masses. Plujim et al. stated that individuals with greater lean mass generally have a more active lifestyle, with more adequate nutritional habits that may have a direct impact on bone health. Furthermore, the studies by Binder et al. and Vilassa et al. claimed that greater muscle strength leads to better muscle contraction, in turn impacting specific bone sites to produce specific deformations, and stimulating bone cells that are anatomically related to these muscles, which also explains the piezoelectric effect in the increase of bone mass. Body composition changes significantly in older individuals, including increase and redistribution of adipose tissue; this distribution progressively increases in the abdominal cavity and is less in the limbs. Although fat mass also had positive relationships in all sites, this is not the most appropriate way of improving bone quality. According to Zhang et al. and Sheu et al., fat (and especially abdominal fat) elevates the risk for metabolic diseases, sarcopenia, and functional decline. Higher levels of visceral fat reduce muscle mass and increase fragility and risk of fracture through intramuscular fat infiltration. - The individuals analyzed in this study were within normal or overweight BMI ranges; we found that both lean and fat masses improve bone quality, but more lean mass in the body composition improves bone biomechanics, stimulating osteoblasts and bone cells and may indicate less modification in BMD during the aging process, as stated by Coin et al.

CONCLUSION

Body composition (lean mass, fat mass, and soft tissue mass) in older men is positively associated with BMD at all sites of the body (arms, legs, and trunk).
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