The association between fat and lean mass and bone mineral density: The Healthy Twin Study

Park, Joo-Hyun; Song, Yun-Mi; Sung, Joohon; Lee, Kayoung; Kim, Youn Sic; Kim, Tae-Hun; Cho, Sung-Il

doi:10.1016/j.bone.2012.01.015

Cited by 76 publications

(58 citation statements)

References 42 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Our findings are consistent with most previous studies on relationships between body composition and BMD [32,33,9,[34][35][36][37]. The association between LM and BMD could be explained by several factors.…”

Section: Discussionsupporting

confidence: 94%

See 1 more Smart Citation

Relationship of sarcopenia and body composition with osteoporosis

et al. 2015

View full text Add to dashboard Cite

show abstract

Section: Discussionsupporting

confidence: 94%

“…Some studies have emphasized the positive association between FM and BMD [11,33,43,34,[44][45][46]36]. These studies considered that body weight is not appropriate to enter into regression models, since body weight, consisting of LM and FM, may cause possible collinearity on the relationship between FM and BMD.…”

Section: Discussionmentioning

confidence: 96%

Relationship of sarcopenia and body composition with osteoporosis

et al. 2015

View full text Add to dashboard Cite

show abstract

“…Similar findings have been reported recently by others (4,5) . In conclusion, findings from this study indicate that there is a relationship between FFM and BMD, suggesting that muscle weight has an additional predictive value over fat mass and, together with exercise, may potentially help to prevent osteoporosis.…”

supporting

confidence: 93%

Determinants of bone mineral density in postmenopausal women in Northern Ireland

et al. 2012

View full text Add to dashboard Cite

Postmenopausal osteoporosis is a chronic disease characterized by decreased bone mass, increased bone turnover and increased fracture risk (1) . Bone mineral density (BMD) is routinely used as the gold standard determinant of fracture risk and ultimately osteoporosis (2) . Numerous risk factors, including age, body composition, lifestyle factors and bone turnover markers (BTM), which impact on BMD have been identified. Nevertheless, there is conflicting evidence with regard to certain determinants, in particular, BTM (3) and body composition (4) of BMD in postmenopausal women. The aim of this study therefore, was to assess BMD in Northern Irish postmenopausal women and to examine potential determinants of BMD.Non-osteoporotic postmenopausal women (N = 300) (45-75 years) were recruited between October 2008 and June 2009, as part of a larger intervention study (REC/08/0083). Total body T-score and body composition were measured using a dual energy x-ray absorptiometry (DEXA) scan. Osteocalcin, deoxypyridinoline crosslinks, C-terminal crosslaps, 25-hydroxy vitamin D and parathyroid hormone (PTH) were measured. Dietary calcium intake and lifestyle factors were determined by questionnaire. Multiple linear regression was performed to identify independent predictors of BMD. Model 1 included age, body mass index (BMI), percent fat (FM) and fat free mass (FFM); model 2 encompassed the variables from model 1 in addition to; number of years postmenopausal, parity, smoking status, statin use, vitamin D status, PTH status and dietary calcium intake; and model 3 included all of the above variables in addition to BTM.Model 1 explained 37 % of the variance in total body T-score, F (4, 253) = 39.43, p < 0.001. Model 2 explained a further 3 % of the variance, F (11, 246) = 16.28, p < 0.001. Model 3 explained a further 1 % of the variance, F (15, 242) = 13.00, p < 0.001. The main variables which explained most of the variance in total body T score were increasing age, which was associated with lower BMD (b = -0.26; p = 0.001), higher percentage body fat, which was associated with higher BMD (b = 0.225; p = 0.048), higher fat free mass (FFM), which was associated with higher BMD (b = 0.385; p < 0.001) and current smoking which was negatively associated with BMD (b = -0.163; p = 0.001).Within this cohort, BTM did not explain any of the variance in BMD, albeit the obvious risk factors of increasing age and smoking were associated with a lower total body BMD, whereas weight (FM and FFM) were associated with a higher BMD. Similar findings have been reported recently by others (4,5) . In conclusion, findings from this study indicate that there is a relationship between FFM and BMD, suggesting that muscle weight has an additional predictive value over fat mass and, together with exercise, may potentially help to prevent osteoporosis.

show abstract

“…Similarly, fat mass showed a negative association with FN and femur aBMD in healthy Caucasian women [37]. Park et al [38] suggested that both lean mass and fat mass had positive genetic correlations, but increased lean mass would be more beneficial for BMD in middle-aged Korean women. The relationships between fat components and BMD have shown conflicting results, suggesting that the age, gender, and menopausal status would differently affect the results [36].…”

Section: Discussionmentioning

confidence: 99%

Relationship between Bone-Specific Physical Activity Scores and Measures for Body Composition and Bone Mineral Density in Healthy Young College Women

Kim¹,

So²,

Kim³

et al. 2016

PLoS ONE

View full text Add to dashboard Cite

ObjectiveThe purpose of this cross-sectional study was to investigate the relationship between bone-specific physical activity (BPAQ) scores, body composition, and bone mineral density (BMD) in healthy young college women.MethodsSeventy-three college women (21.7 ± 1.8 years; 162.1 ± 4.6 cm; 53.9 ± 5.8 kg) between the ages of 19 and 26 years were recruited from the universities in Seoul and Gyeonggi province, South Korea. We used dual energy X-ray absorptiometry to measure the lumbar spine (L2-L4) and proximal femur BMD (left side; total hip, femoral neck). The BPAQ scores (past, pBPAQ; current, cBPAQ; total, tBPAQ) were used to obtain a comprehensive account of lifetime physical activity related to bone health. We used X-scan plus II instrumentation to measure height (cm), weight (kg), fat free mass (FFM, kg), percent body fat (%), and body mass index (BMI). Participants were asked to record their 24-hour food intake in a questionnaire.ResultsThere were positive correlations between BPAQ scores and total hip (pBPAQ r = 0.308, p = 0.008; tBPAQ, r = 0.286, p = 0.014) and FN BMD (pBPAQ r = 0.309, p = 0.008; tBPAQ, r = 0.311, p = 0.007), while no significant relationships were found in cBPAQ (p > 0.05). When FFM, Vitamin D intake, cBPAQ, pBPAQ, and tBPAQ were included in a stepwise multiple linear regression analysis, FFM and pBPAQ were predictors of total hip, accounting for 16% (p = 0.024), while FFM and tBPAQ predicted 14% of the variance in FN (p = 0.015). Only FFM predicted 15% of the variance in L2-L4 (p = 0.004). There was a positive correlation between Vitamin D intake and L2-L4 (p = 0.025), but other dietary intakes variables were not significant (p > 0.05).ConclusionsBPAQ-derived physical activity scores and FFM were positively associated with total hip and FN BMD in healthy young college women. Our study suggests that osteoporosis awareness and effective bone healthy behaviors for college women are required to prevent serious bone diseases later in life.

show abstract

The association between fat and lean mass and bone mineral density: The Healthy Twin Study

Cited by 76 publications

References 42 publications

Relationship of sarcopenia and body composition with osteoporosis

Relationship of sarcopenia and body composition with osteoporosis

Determinants of bone mineral density in postmenopausal women in Northern Ireland

Relationship between Bone-Specific Physical Activity Scores and Measures for Body Composition and Bone Mineral Density in Healthy Young College Women

Contact Info

Product

Resources

About