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Clinical risk factors for osteoporotic fracture: A population-based prospective cohort study in Korea

  1. Seung Hun Lee1,
  2. Young-Ho Khang2,
  3. Kyeong-Hye Lim1,
  4. Beom-Jun Kim1,
  5. Jung-Min Koh1,
  6. Ghi Su Kim1,
  7. Hyungrae Kim3,
  8. Nam H Cho4,*

Article first published online: 14 DEC 2009

DOI: 10.1359/jbmr.090722

Issue

Journal of Bone and Mineral Research

Journal of Bone and Mineral Research

Volume 25, Issue 2, pages 369–378, February 2010

Additional Information

How to Cite

Lee, S. H., Khang, Y.-H., Lim, K.-H., Kim, B.-J., Koh, J.-M., Kim, G. S., Kim, H. and Cho, N. H. (2010), Clinical risk factors for osteoporotic fracture: A population-based prospective cohort study in Korea. Journal of Bone and Mineral Research, 25: 369–378. doi: 10.1359/jbmr.090722

Author Information

  1. 1

    Division of Endocrinology and Metabolism, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea

  2. 2

    Department of Preventive Medicine, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea

  3. 3

    Korean National Genome Institute, Korean Center for Disease Control and Prevention, Seoul, Korea

  4. 4

    Department of Preventive Medicine, Ajou University School of Medicine, Suwon, Korea

*Department of Preventive Medicine, Ajou University Medical School, #5 Wonchon-Dong, Youngtong-Gu, Suwon 442-749, Republic of Korea.

Publication History

  1. Issue published online: 19 FEB 2010
  2. Article first published online: 14 DEC 2009
  3. Manuscript Accepted: 6 JUL 2009
  4. Manuscript Revised: 4 MAY 2009
  5. Manuscript Received: 22 JAN 2009

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References

  • 1
    NIH Consensus Development Panel on Osteoporosis Prevention, Diagnosis, and Therapy. Osteoporosis prevention, diagnosis, and therapy. JAMA. 2001; 285: 785–795.
  • 2
    World Health Organization. Assessment of Fracture Risk and Its Application to Screening for Postmenopausal Osteoporosis. Geneva: World Health Organization, 1994.
  • 3
    World Health Organization. WHO Scientific Group on the Assessment of Osteoporosis at the Primary Health Care Level. Brussela: World Health Organization, 2007. Available at: www.who.int/chp/topics/Osteoporosis.pdf. Accessed December 18, 2008.
  • 4
    Kung AW, Lee KK, Ho AY, Tang G, Luk KD. Ten-year risk of osteoporotic fractures in postmenopausal Chinese women according to clinical risk factors and BMD T-scores: a prospective study. J Bone Miner Res. 2007; 22: 1080–1087.
  • 5
    Hans D, Durosier C, Kanis JA, Johansson H, Schott-Pethelaz AM, Krieg MA. Assessment of the 10-year probability of osteoporotic hip fracture combining clinical risk factors and heel bone ultrasound: the EPISEM prospective cohort of 12,958 elderly women. J Bone Miner Res. 2008; 23: 1045–1051.
  • 6
    Tao B, Liu JM, Li XY, Wang JG, Wang WQ, Ning G. An assessment of the use of quantitative ultrasound and the Osteoporosis Self-Assessment Tool for Asians in determining the risk of nonvertebral fracture in postmenopausal Chinese women. J Bone Miner Metab 2008; 26: 60–65.
  • 7
    Bossy E, Talmant M, Peyrin F, Akrout L, Cloetens P, Laugier P. An in vitro study of the ultrasonic axial transmission technique at the radius: 1-MHz velocity measurements are sensitive to both mineralization and intracortical porosity. J Bone Miner Res. 2004; 19: 1548–1556.
  • 8
    Hans D, Srivastav SK, Singal C, et al. Does combining the results from multiple bone sites measured by a new quantitative ultrasound device improve discrimination of hip fracture? J Bone Miner Res. 1999; 14: 644–651.
  • 9
    Knapp KM, Blake GM, Fogelman I, Doyle DV, Spector TD. Multisite quantitative ultrasound: Colles' fracture discrimination in postmenopausal women. Osteoporos Int. 2002; 13: 474–479.
  • 10
    Kanis JA, Black D, Cooper C, et al. A new approach to the development of assessment guidelines for osteoporosis. Osteoporos Int. 2002; 13: 527–536.
  • 11
    Kanis JA, Borgstrom F, De Laet C, et al. Assessment of fracture risk. Osteoporos Int. 2005; 16: 581–589.
  • 12
    Barrett-Connor E, Siris ES, Wehren LE, et al. Osteoporosis and fracture risk in women of different ethnic groups. J Bone Miner Res. 2005; 20: 185–194.
  • 13
    Shin C, Abbott RD, Lee H, Kim J, Kimm K. Prevalence and correlates of orthostatic hypotension in middle-aged men and women in Korea: the Korean Health and Genome Study. J Hum Hypertens 2004; 18: 717–723.
  • 14
    Cho NH, Jang HC, Choi SH, et al. Abnormal liver function test predicts type 2 diabetes: a community-based prospective study. Diabetes Care. 2007; 30: 2566–2568.
  • 15
    Kim DJ, Noh JH, Cho NH, et al. Serum gamma-glutamyltransferase within its normal concentration range is related to the presence of diabetes and cardiovascular risk factors. Diabetes Med. 2005; 22: 1134–11340.
  • 16
    Lim S, Jang HC, Lee HK, Kimm KC, Park C, Cho NH. A rural-urban comparison of the characteristics of the metabolic syndrome by gender in Korea: the Korean Health and Genome Study (KHGS). J Endocrinol Invest. 2006; 29: 313–319.
  • 17
    Lim S, Lee HK, Kimm KC, Park C, Shin C, Cho NH. C-reactive protein level as an independent risk factor of metabolic syndrome in the Korean population: CRP as risk factor of metabolic syndrome. Diabetes Res Clin Pract. 2005; 70: 126–133.
  • 18
    World Health Organization Western Pacific Region, International Association for the Study of Obesity, International Obesity Task Force. The Asia-Pacific Perspective: Redefining Obesity and Its Treatment. 2000. Available at: www.diabetes.com.au/pdf/obesity_report.pdf. Accessed December 18, 2008.
  • 19
    Ettinger B, Black DM, Nevitt MC, et al. Contribution of vertebral deformities to chronic back pain and disability: the Study of Osteoporotic Fractures Research Group. J Bone Miner Res. 1992; 7: 449–456.
  • 20
    Kleerekoper M, Nelson DA, Peterson EL, Tilley BC. Outcome variables in osteoporosis trials. Bone. 1992; 13: S29–S34.
  • 21
    Siminoski K, Jiang G, Adachi JD, et al. Accuracy of height loss during prospective monitoring for detection of incident vertebral fractures. Osteoporos Int. 2005; 16: 403–410.
  • 22
    Seidell JC, Perusse L, Despres JP, Bouchard C. Waist and hip circumferences have independent and opposite effects on cardiovascular disease risk factors: the Quebec Family Study. Am J Clin Nutr. 2001; 74: 315–321.
  • 23
    Lang T, Koyama A, Li C, et al. Pelvic body composition measurements by quantitative computed tomography: association with recent hip fracture. Bone. 2008; 42: 798–805.
  • 24
    Sebba A. Comparing non-vertebral fracture risk reduction with osteoporosis therapies: looking beneath the surface. Osteoporos Int. 2009; 20: 675–686.
  • 25
    Arden NK, Crozier S, Smith H, et al. Knee pain, knee osteoarthritis, and the risk of fracture. Arthritis Rheum 2006; 55: 610–615.
  • 26
    Bergink AP, van der Klift M, Hofman A, et al. Osteoarthritis of the knee is associated with vertebral and nonvertebral fractures in the elderly: the Rotterdam Study. Arthritis Rheum 2003; 49: 648–657.
  • 27
    De Laet C, Kanis JA, Oden A, et al. Body mass index as a predictor of fracture risk: a meta-analysis. Osteoporos Int. 2005; 16: 1330–1338.
  • 28
    Gregg EW, Cauley JA, Seeley DG, Ensrud KE, Bauer DC. Physical activity and osteoporotic fracture risk in older women: study of Osteoporotic Fractures Research Group. Ann Intern Med. 1998; 129: 81–88.
  • 29
    Kanis JA, Johansson H, Johnell O, et al. Alcohol intake as a risk factor for fracture. Osteoporos Int. 2005; 16: 737–742.
  • 30
    Kanis JA, Johnell O, De Laet C, et al. A meta-analysis of previous fracture and subsequent fracture risk. Bone. 2004; 35: 375–382.
  • 31
    Klotzbuecher CM, Ross PD, Landsman PB, Abbott TA III, Berger M. Patients with prior fractures have an increased risk of future fractures: a summary of the literature and statistical synthesis. J Bone Miner Res. 2000; 15: 721–739.
  • 32
    Kanis JA, Johansson H, Oden A, et al. A family history of fracture and fracture risk: a meta-analysis. Bone. 2004; 35: 1029–1037.
  • 33
    Kanis JA, Johansson H, Oden A, et al. A meta-analysis of prior corticosteroid use and fracture risk. J Bone Miner Res. 2004; 19: 893–899.
  • 34
    Kanis JA, Johnell O, Oden A, et al. Smoking and fracture risk: a meta-analysis. Osteoporos Int. 2005; 16: 155–162.
  • 35
    Cortet B, Roches E, Logier R, et al. Evaluation of spinal curvatures after a recent osteoporotic vertebral fracture. Joint Bone Spine 2002; 69: 201–208.
  • 36
    Marin F, Gonzalez-Macias J, Diez-Perez A, Palma S, Delgado-Rodriguez M. Relationship between bone quantitative ultrasound and fractures: a meta-analysis. J Bone Miner Res. 2006; 21: 1126–1135.
  • 37
    Durosier C, Hans D, Krieg MA, Schott AM. Prediction and discrimination of osteoporotic hip fracture in postmenopausal women. J Clin Densitom 2006; 9: 475–495.
  • 38
    Hans D, Dargent-Molina P, Schott AM, et al. Ultrasonographic heel measurements to predict hip fracture in elderly women: the EPIDOS prospective study. Lancet 1996; 348: 511–514.
  • 39
    Knapp KM, Blake GM, Spector TD, Fogelman I. Multisite quantitative ultrasound: precision, age- and menopause-related changes, fracture discrimination, and T-score equivalence with dual-energy X-ray absorptiometry. Osteoporos Int. 2001; 12: 456–464.
  • 40
    Nguyen TV, Center JR, Eisman JA. Bone mineral density-independent association of quantitative ultrasound measurements and fracture risk in women. Osteoporos Int. 2004; 15: 942–947.
  • 41
    Sakuma M, Endo N, Oinuma T, et al. Incidence and outcome of osteoporotic fractures in 2004 in Sado City, Niigata Prefecture, Japan. J Bone Miner Metab 2008; 26: 373–378.
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