Relationship Between Bone Mineral Density and Body Composition in Elderly

Alonso, Angélica Castilho; Gonçalves, Tuane Andreatta; Almeida, Jenifer Kristina Alves De; Machado-Lima, Adriana; Ernandes, Rita de Cássia; Greve, Júlia Maria D’Andréa

doi:10.1590/1413-785220182601182340

Cited by 13 publications

(19 citation statements)

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“…With regard to body composition, we observed an increase in the fat percentage, which is in line with the findings reported by Alonso et al, 14 who affirmed that body composition changes significantly in elderly individuals, including the increase and redistribution of adipose tissue. This distribution increases progressively within the abdominal cavity and is less pronounced in the limbs.…”

Section: Discussionsupporting

confidence: 93%

Bone Mineral Density and Body Composition in Elderly Runners: Six-Year Follow-Up

et al. 2019

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Objective: To evaluate bone mineral density (BMD) and body composition over a six-year period in elderly long-distance runners. Methods: We analyzed the medical records of elderly athletes who were long-distance runners, were participants of the IOT-HCFMUSP Orthogeriatric Group, and had their BMD evaluated between 2001 and 2007; of these athletes, 11 were included in the study. Inclusion criteria: athletes should be long-distance runners, should not stop long-distance running during the six-year period, and should have undergone BMD and body composition evaluations. Body composition was evaluated using bone densitometry with dual-energy X-ray absorptiometry with a Lunar-DPX device. Results: Over the six-year period, body composition remained stable, but there was a significant increase only in the fat percentage (p = 0.003). Conclusion: Long-distance running may maintain BMD but may lead to an increase in the fat percentage in elderly runners. Level of Evidence II; Prognostic Study - Investigating the Effect of Patient Characteristics on Disease Outcome.

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Section: Discussionsupporting

confidence: 93%

Bone Mineral Density and Body Composition in Elderly Runners: Six-Year Follow-Up

et al. 2019

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“…[5,6] These miscellaneous findings suggested that BMI as single parameter for obesity assessment may not be a suitable method to explain comprehensively the relationship between obesity and BMD. [8][9][10] The distribution of fat and muscle mass are also essential factors for BMD and in our study showed that appendicular skeletal muscle and central obesity may have more significant role. In a previous studies, low skeletal muscle mass associated with low neck femoral BMD in older adults.…”

Section: Discussionmentioning

confidence: 49%

“…The distribution of fat and muscle mass are also considered as essential factors for BMD. [8][9][10] In fact, there is a third of older adults population has a normal BMI or total fat mass percentage but also has central obesity which is called by normal-weight central obesity. [11] Furthermore, building evidence showed that central obesity which produces inflammatory cytokine might have deterious effects on muscle and bone metabolism.…”

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confidence: 99%

Appendicular skeletal muscle mass to truncal fat mass ratio as a new index for osteosarcopenic obesity syndrome in older adults: emphasizing the role of central obesity

Dwipa

Widiastuti

Rakhimullah

et al. 2020

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Background The relationship between obesity and low bone mineral density (BMD) in older adults is still unclear. Most of the previous study did not account the factor of sarcopenia which is the progressive loss of skeletal muscle mass due to aging, and distribution of fat in obesity. Thus, this study was aimed to explore the correlation between appendicular skeletal muscle mass (ASMM), total fat mass (FM), and truncal fat mass (TrFM) as well as indexes (ASMM/FM and ASMM/TrFM ratio) with BMD in older adults.Methods This was an analytic cross-sectional study. Dual x-ray absorptiometry (DXA) and bioelectric impedance analysis (BIA) were used to assess BMD and body composition, respectively. Appendicular Skeletal Muscle Mass (ASMM) were used in the analysis to reflect sarcopenia, Fat Mass (FM) and Trunkal Fat Mass (TrFM) were used to reflect general and central obesity, respectively. All data were obtained from medical records of Geriatric Clinic of Hasan Sadikin General Hospital Bandung Indonesia from January 2014 to December 2018. The correlation between body compositions variable with BMD were analyzed using Spearman’s test. We also conducted a comparison analysis of body composition variables between low and normal BMD using Mann-Whitney test. Results A total of 112 subjects were enrolled in the study. ASMM and TrFM were positive (rs=0.517, p<0.001) and negative (rS=-0.22, p=0.02) correlated with BMD, respectively. FM were not correlated with BMD, rS=-0.113 (p=0.234). As indexes, ASMM/FM and ASMM/TrFM had positive correlation with BMD, rS=0.277 (p<0.001), and rS=0.391 (p<0.001), respectively. The ASMM, TrFM, and ASMM/TrFM ratio between normal and low BMD also significantly different (p<0.001), meanwhile FM were not (p=0.204).Conclusion ASMM and TrFM have a positive and negative correlation with BMD, respectively. ASMM/TrFM ratio as new sarcopenia-central obesity index has a positive correlation with BMD.

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“…In female, we found that rs11674595 and rs2072472 were associated with a higher occurrence of osteoporosis, while rs4851527 and rs3218977 were with a lower osteoporosis risk. Some authors have proposed that high BMI is a protective factor for osteoporosis [31,32]. The result of strati cation analysis by BMI displayed that rs11674595 and rs4851527 were related to the reduced occurrence of osteoporosis among the subjects with BMI > 24 kg/m 2 , while rs11674595 conferred to the increased risk of osteoporosis at BMI ≤ 24 kg/m 2 .…”

Section: Discussionmentioning

confidence: 99%

IL-1R2 Polymorphisms and its Interaction Associates With Osteoporosis Susceptibility in Chinese Han Population

Rong¹,

Liang

Xiang

et al. 2020

Preprint

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Background: IL-1R2, serves as a negative regulator of IL-1 signaling, is involved in the pathogenesis of osteoporosis. This study aimed to determine the correlation between IL-1R2 polymorphism and osteoporosis susceptibility among the Chinese Han population.Methods: We recruited 594 osteoporosis patients and 599 healthy controls. Six single nucleotide polymorphisms (SNPs) in IL-1R2 were selected for genotyping using Agena MassARRAY platform. Odds ratio (OR) and 95% confidence interval (CI) was calculated through logistic regression analysis with adjustment for age and sex. Linkage disequilibrium analysis was plotted by Haploview v4.2. Multifactor dimension reduction (MDR) was performed to estimate the SNP-SNP interaction of IL-1R2 variants.Results: Our result revealed that rs11674595 (OR = 1.86, p = 0.020), rs2072472 (OR = 1.26, p = 0.019) and rs4851527 (OR = 0.78, p = 0.007) were related to the risk of osteoporosis. Moreover, the contribution of IL-1R2 polymorphisms to osteoporosis risk presented age, sex and BMI difference. We found the relationship of Trs11674595Ars4851527 (OR = 0.80, p = 0.015), Crs11674595Grs4851527 (OR = 1.22, p = 0.043) and Ars3218977Grs2072472 (OR = 1.25, p = 0.022) haplotypes to osteoporosis occurrence, and a potential accumulated effect of IL-1R2 SNPs (testing accuracy = 0.5783 and CVC = 10/10) on osteoporosis susceptibility.Conclusion: IL-1R2 polymorphisms (rs11674595, rs4851527, rs2072472 and rs3218977) might contribute to osteoporosis risk among the Chinese Han population. Our finding may increase our understanding of the effects of IL-1R2 polymorphisms on the predisposition of osteoporosis.

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Relationship Between Bone Mineral Density and Body Composition in Elderly

Cited by 13 publications

References 13 publications

Bone Mineral Density and Body Composition in Elderly Runners: Six-Year Follow-Up

Bone Mineral Density and Body Composition in Elderly Runners: Six-Year Follow-Up

Appendicular skeletal muscle mass to truncal fat mass ratio as a new index for osteosarcopenic obesity syndrome in older adults: emphasizing the role of central obesity

IL-1R2 Polymorphisms and its Interaction Associates With Osteoporosis Susceptibility in Chinese Han Population

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