Journal of Clinical Densitometry
Volume 13, Issue 3 , Pages 307-314 , July 2010

The Changes of Bone Mineral Density in Relation to Body Mass Index and Aging Among Polish and Different Ethnic Women in the United States: Cross-sectional Studies

  • Magdalena Wiacek

      Affiliations

    • Current address: Laboratory of Developmental Biology, Department of Life Science, Hanyang University, Sungdong-gu Hangdang-dong 17, Seoul 133-791, Korea.
    • Faculty of Physiotherapy, University School of Physical Education in Wroclaw, al. I.J. Paderewskiego 35, Wroclaw, Poland
    • ,
  • Anna Skrzek

      Affiliations

    • The authors contributed equally to this work.
    • Faculty of Physiotherapy, University School of Physical Education in Wroclaw, al. I.J. Paderewskiego 35, Wroclaw, Poland
    • ,
  • Zofia Ignasiak

      Affiliations

    • The authors contributed equally to this work.
    • Faculty of Physical Education, University School of Physical Education in Wroclaw, al. I.J. Paderewskiego 35, Wroclaw, Poland
    • ,
  • Igor Z. Zubrzycki

      Affiliations

    • Corresponding Author InformationAddress correspondence to: Igor Z. Zubrzycki, PhD, Department of Life Science, Hanyang University, Sungdong-gu Hangdang-dong 17, Seoul 133-791, Korea.
    • Department of Life Science, Hanyang University, Sungdong-gu Hangdang-dong 17, Seoul, Korea

Received 6 December 2009 ,Revised 4 March 2010 ,Accepted 4 March 2010.

References 

  1. Andersson GB, Bostrom MP, Eyre DR, et al. Consensus summary on the diagnosis and treatment of osteoporosis. Spine (Phila Pa 1976). 1997;22:63S–65S
  2. Huang C, Ross PD, Wasnich RD. Short-term and long-term fracture prediction by bone mass measurements: a prospective study. J Bone Miner Res. 1998;13:107–113
  3. Kanis JA, Johnell O, Oden A, et al. The use of multiple sites for the diagnosis of osteoporosis. Osteoporos Int. 2006;17:527–534
  4. Kanis JA, Melton LJ, Christiansen C, et al. The diagnosis of osteoporosis. J Bone Miner Res. 1994;9:1137–1141
  5. Melton LJ, Atkinson EJ, O'Fallon WM, et al. Long-term fracture prediction by bone mineral assessed at different skeletal sites. J Bone Miner Res. 1993;8:1227–1233
  6. Melton LJ, Crowson CS, O'Fallon WM, et al. Relative contributions of bone density, bone turnover, and clinical risk factors to long-term fracture prediction. J Bone Miner Res. 2003;18:312–318
  7. Assessment of fracture risk and its application to screening for postmenopausal osteoporosis. Report of a WHO Study Group. World Health Organ Tech Rep Ser. 1994;843:1–129
  8. Looker AC, Wahner HW, Dunn WL, et al. Updated data on proximal femur bone mineral levels of US adults. Osteoporos Int. 1998;8:468–489
  9. Hanson J. Standardization of proximal femur BMD measurements. International Committee for Standards in Bone Measurement. Osteoporos Int. 1997;7:500–501
  10. Larijani B, Hossein-Nezhad A, Mojtahedi A, et al. Normative data of bone mineral density in healthy population of Tehran, Iran: a cross sectional study. BMC Musculoskelet Disord. 2005;6:38
  11. Zhu H, Fang J, Luo X, et al. A survey of bone mineral density of healthy Han adults in China. Osteoporos Int. 2001;21:765–772
  12. Lunt M, Felsenberg D, Adams J, et al. Population-based geographic variations in DXA bone density in Europe: the EVOS Study. European Vertebral Osteoporosis. Osteoporos Int. 1997;7:175–189
  13. Kroger H, Heikkinen J, Laitinen K, Kotaniemi A. Dual-energy X-ray absorptiometry in normal women: a cross-sectional study of 717 Finnish volunteers. Osteoporos Int. 1992;2:135–140
  14. Povoroznyuk VV, Dzerovich NI, Karasevskaya TA. Bone mineral density in ukrainian women of different age. Ann N Y Acad Sci. 2007;1119:243–252
  15. Melton LJ. The prevalence of osteoporosis. J Bone Miner Res. 1997;12:1769–1771
  16. Blum M, Harris SS, Must A, et al. Leptin, body composition and bone mineral density in premenopausal women. Calcif Tissue Int. 2003;73:27–32
  17. Gillette-Guyonnet S, Nourhashemi F, Lauque S, et al. Body composition and osteoporosis in elderly women. Gerontology. 2000;46:189–193
  18. Lewin S, Gouveia CH, Marone MM, et al. Vertebral and femoral bone mineral density of 724 caucasian Brazilian women: influence of age and body weight, Rev Assoc Med Bras. 1997;43:127–136Article in Portuguese
  19. Nunez NP, Carpenter CL, Perkins SN, et al. Extreme obesity reduces bone mineral density: complementary evidence from mice and women. Obesity (Silver Spring). 2007;15:1980–1987
  20. National Center for Health Statistics . Available at: http://www.cdc.gov/nchs/Default.htm2009;Accessed on June 1, 2009
  21. Cochran WG. Sampling techniques. 3rd ed. New York, NY: Wiley; 1977;
  22. Sousa VD, Zauszniewski JA, Musil CM. How to determine whether a convenience sample represents the population. Appl Nurs Res. 2004;17:120–133
  23. WHO/IASO/IOTF. 2000 The Asia-Pacific perspective: redefining obesity and its treatment.
  24. Centers for Disease Control and Prevention (CDC), National Center for Health Statistics (NCHS). 2004 NHANES III analytic guidelines. National Health and Nutrition Examination Survey Data.
  25. Hans D, Downs RW, Duboeuf F, et al. Skeletal sites for osteoporosis diagnosis: the 2005 ISCD Official Positions. J Clin Densitom. 2006;9:15–21
  26. Binkley N, Kiebzak GM, Lewiecki EM, et al. Recalculation of the NHANES database SD improves T-score agreement and reduces osteoporosis prevalence. J Bone Miner Res. 2005;20:195–201
  27. Shapiro SS, Wilk MB, Chen HJ. A comparative study of various tests of normality. J Am Stat Assoc. 1968;63:1343–1372
  28. Kolmogrov A. Sulla Determinazione Empirica di una Legge di Distributione (Should normality be a normal assumption?). Giornale dell'Instituto Italiano degi Attuari. 1933;4:1–11
  29. Anderson TW. On the distribution of the two-sample Cramer-von Mises criterion. Ann Math Stat. 1962;33:1148–1159
  30. Anderson TW, Darling DA. Asymptotic theory of certain “goodness-of-fit” criteria based on stochastic processes. Ann Math Stat. 1952;192–212
  31. Hou YL, Wu XP, Luo XH, et al. Differences in age-related bone mass of proximal femur between Chinese women and different ethnic women in the United States. J Bone Miner Metab. 2007;25:243–252
  32. Looker AC, Orwoll ES, Johnston CC, et al. Prevalence of low femoral bone density in older U.S. adults from NHANES III. J Bone Miner Res. 1997;12:1761–1768
  33. Kudlacek S, Schneider B, Peterlik M, et al. Normative data of bone mineral density in an unselected adult Austrian population. Eur J Clin Invest. 2003;33:332–339
  34. Gambacciani M, Spinetti A, Simone L, et al. Postmenopausal bone loss of the proximal femur: estimated contributions of menopause and aging. Menopause. 1995;2:169–174
  35. Pedrazzoni M, Girasole G, Bertoldo F, et al. Definition of a population-specific DXA reference standard in Italian women: the Densitometric Italian Normative Study (DINS). Osteoporos Int. 2003;14:978–982
  36. Lofman O, Larsson L, Ross I, et al. Bone mineral density in normal Swedish women. Bone. 1997;20:167–174
  37. Wiacek M, Hagner W. The history and economic impact on the functional fitness of elderly in the South-Eastern region of Poland: a comparison with US citizens. Arch Gerontol Geriatr. 2008;46:221–226
  38. Wiacek M, Hagner W, Hagner-Derengowska M, et al. Deterioration of basic coordinative parameters defines life quality of elderly. Arch Gerontol Geriatr. 2009;49:212–214
  39. Wiacek M, Hagner W, Hagner-Derengowska M, et al. Correlations between postural stability and strength of lower body extremities of women population living in long-term care facilities. Arch Gerontol Geriatr. 2009;48:346–349

PII: S1094-6950(10)00159-9

doi: 10.1016/j.jocd.2010.03.002

Journal of Clinical Densitometry
Volume 13, Issue 3 , Pages 307-314 , July 2010

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