» Articles » PMID: 8481592

Age-related Differences in Total and Regional Bone Mass: a Cross-sectional Study with DXA in 429 Normal Women

Overview
Journal Osteoporos Int
Date 1993 May 1
PMID 8481592
Citations 8
Authors
Affiliations
Soon will be listed here.
Abstract

Total body bone mineral content (TBBMC), total body bone mineral density (TBBMD) and regional bone mineral content (BMC) and density (BMD) were assessed by dual-energy X-ray absorptiometry (DXA) in 429 normal women aged 15-83 years, of whom 242 were premenopausal and 187 postmenopausal. The population was divided into 5-year age groups. In the premenopausal women no changes in TBBMC, TBBMD or regional BMC and BMD were observed with age, and TBBMC and TBBMD values correlated well with body weight (p < 0.001). Postmenopausal women showed an overall reduction in bone mass (p < 0.001), more marked at the axial level than peripherally (1.6% vs. 0.8%/year). The values of TBBMC and TBBMD correlated well with chronological age, time since the onset of menopause and body weight (p < 0.001). In these women age did not correlate with body weight, which suggests that postmenopausal bone mass loss depends more on chronological age and time since the onset of menopause than on other variables. The stability observed in bone mass values from ages 15-19 to menopause highlights the importance of stimulating the acquisition of an appropriate peak bone mass in women before adolescence begins.

Citing Articles

Quantitative computed tomography has higher sensitivity detecting critical bone mineral density compared to dual-energy X-ray absorptiometry in postmenopausal women and elderly men with osteoporotic fractures: a real-life study.

Boehm E, Kraft E, Biebl J, Wegener B, Stahl R, Feist-Pagenstert I Arch Orthop Trauma Surg. 2023; 144(1):179-188.

PMID: 37796283 DOI: 10.1007/s00402-023-05070-y.


Comparison of Bioelectrical Impedance Analysis and Dual Energy X-ray Absorptiometry for Total and Segmental Bone Mineral Content with a Three-Compartment Model.

Liao Y, Li H, Lu H, Lai C, Wang Y, Hsieh K Int J Environ Res Public Health. 2020; 17(7).

PMID: 32290133 PMC: 7177846. DOI: 10.3390/ijerph17072595.


Association of eating out with bone density in Taiwan.

Huang Y, Lin C, Lin C, Lin S Public Health Nutr. 2017; 20(17):3151-3155.

PMID: 28847338 PMC: 10261307. DOI: 10.1017/S1368980017002105.


Energy expenditure and aging.

Manini T Ageing Res Rev. 2009; 9(1):1-11.

PMID: 19698803 PMC: 2818133. DOI: 10.1016/j.arr.2009.08.002.


Age, gender, and race/ethnic differences in total body and subregional bone density.

Looker A, Melton 3rd L, Harris T, Borrud L, Shepherd J, McGowan J Osteoporos Int. 2008; 20(7):1141-9.

PMID: 19048179 PMC: 3057045. DOI: 10.1007/s00198-008-0809-6.


References
1.
Rodin A, Murby B, Smith M, Caleffi M, Fentiman I, Chapman M . Premenopausal bone loss in the lumbar spine and neck of femur: a study of 225 Caucasian women. Bone. 1990; 11(1):1-5. DOI: 10.1016/8756-3282(90)90064-6. View

2.
Halioua L, Anderson J . Age and anthropometric determinants of radial bone mass in premenopausal Caucasian women: a cross-sectional study. Osteoporos Int. 1990; 1(1):50-5. DOI: 10.1007/BF01880416. View

3.
Dawson-Hughes B, Deehr M, Berger P, Dallal G, Sadowski L . Correction of the effects of source, source strength, and soft-tissue thickness on spine dual-photon absorptiometry measurements. Calcif Tissue Int. 1989; 44(4):251-7. DOI: 10.1007/BF02553759. View

4.
Mazess R, Peppler W, Chesney R, Lange T, Lindgren U, Smith Jr E . Total body and regional bone mineral by dual-photon absorptiometry in metabolic bone disease. Calcif Tissue Int. 1984; 36(1):8-13. DOI: 10.1007/BF02405287. View

5.
Ribot C, Tremollieres F, Pouilles J, LOUVET J, GUIRAUD R . Influence of the menopause and aging on spinal density in French women. Bone Miner. 1988; 5(1):89-97. DOI: 10.1016/0169-6009(88)90009-8. View