Skip to main content

Advertisement

Log in

Measured height loss predicts incident clinical fractures independently from FRAX: a registry-based cohort study

  • Original Article
  • Published:
Osteoporosis International Aims and scope Submit manuscript

Abstract

Summary

During median follow-up 6.0 years in 11,495 individuals, prior absolute and annualized measured height loss was significantly greater in those with subsequent incident fracture compared with those without incident fracture.

Purpose

FRAX® accepts baseline height and weight as input variables, but does not consider change in these parameters over time.

Aim

To evaluate the association between measured height or weight loss on subsequent fracture risk adjusted for FRAX scores, risk factors, and competing mortality.

Methods

Using a dual-energy x-ray absorptiometry (DXA) registry for the Province of Manitoba, Canada, we identified women and men age 40 years or older with height and weight measured at the time of two DXA scans. Cox regression analyses were performed to test for a covariate-adjusted association between prior height and weight loss with incident fractures occurring after the second scan using linked population-based healthcare data.

Results

The study population consisted of 11,495 individuals (average age 68.0 ± 9.9 years, 94.6% women). During median follow-up 6.0 years, records demonstrated incident major osteoporotic fracture (MOF) in 869 individuals, hip fractures in 265, clinical vertebral fractures in 207, and any fracture in 1203. Prior height loss was significantly greater in individuals with fracture compared with those without fracture, regardless of fracture site. Mortality was greater in those with prior height loss (HR per SD 1.11, 95% CI 1.06–1.17) or weight loss (HR per SD 1.26, 95% CI 1.19–1.32). Each SD in height loss was associated with increased fracture risk (MOF 12–17%, hip 8–19%, clinical vertebral 28–37%, any fracture 14–19%). Prior weight loss was associated with 21–30% increased risk for hip fracture, but did not increase risk for other fractures. Height loss of 3.0 cm or greater more than doubled the risk for subsequent fracture.

Conclusions

Prior height loss is associated with a small but significant increase in risk of incident fracture at all skeletal sites independent of other clinical risk factors and competing mortality as considered by FRAX. Prior weight loss only increases risk for subsequent hip fracture.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2

Similar content being viewed by others

References

  1. Compston JE, McClung MR, Leslie WD (2019) Osteoporosis. Lancet 393(10169):364–376

    Article  CAS  Google Scholar 

  2. Cummings SR, Nevitt MC, Browner WS, Stone K, Fox KM, Ensrud KE, Cauley J, Black D, Vogt TM (1995) Risk factors for hip fracture in white women. Study of Osteoporotic Fractures Research Group. N Engl J Med 332(12):767–773

    Article  CAS  Google Scholar 

  3. Ensrud KE, Lipschutz RC, Cauley JA, Seeley D, Nevitt MC, Scott J, Orwoll ES, Genant HK, Cummings SR (1997) Body size and hip fracture risk in older women: a prospective study. Study of Osteoporotic Fractures Research Group. Am J Med 103(4):274–280

    Article  CAS  Google Scholar 

  4. Johansson H, Kanis JA, Oden A, McCloskey E, Chapurlat RD, Christiansen C et al (2014) A meta-analysis of the association of fracture risk and body mass index in women. J Bone Miner Res 29(1):223–233

    Article  Google Scholar 

  5. Armstrong ME, Kirichek O, Cairns BJ, Green J, Reeves GK (2016) Relationship of height to site-specific fracture risk in postmenopausal women. J Bone Miner Res 31(4):725–731

    Article  Google Scholar 

  6. Kanis JA, Oden A, Johansson H, Borgstrom F, Strom O, McCloskey E (2009) FRAX and its applications to clinical practice. Bone. 44(5):734–743

    Article  Google Scholar 

  7. Compston JE, Wyman A, FitzGerald G, Adachi JD, Chapurlat RD, Cooper C, Díez-Pérez A, Gehlbach SH, Greenspan SL, Hooven FH, LaCroix A, March L, Netelenbos JC, Nieves JW, Pfeilschifter J, Rossini M, Roux C, Saag KG, Siris ES, Silverman S, Watts NB, Anderson FA Jr (2016) Increase in fracture risk following unintentional weight loss in postmenopausal women: the global longitudinal study of osteoporosis in women. J Bone Miner Res 31(7):1466–1472

    Article  Google Scholar 

  8. Mikula AL, Hetzel SJ, Binkley N, Anderson PA (2017) Validity of height loss as a predictor for prevalent vertebral fractures, low bone mineral density, and vitamin D deficiency. Osteoporos Int 28(5):1659–1665

    Article  CAS  Google Scholar 

  9. Siminoski K, Jiang G, Adachi JD, Hanley DA, Cline G, Ioannidis G, Hodsman A, Josse RG, Kendler D, Olszynski WP, Ste Marie LG, Eastell R (2005) Accuracy of height loss during prospective monitoring for detection of incident vertebral fractures. Osteoporos Int 16(4):403–410

    Article  CAS  Google Scholar 

  10. Siminoski K, Warshawski RS, Jen H, Lee K (2006) The accuracy of historical height loss for the detection of vertebral fractures in postmenopausal women. Osteoporos Int 17(2):290–296

    Article  CAS  Google Scholar 

  11. Krege JH, Kendler D, Krohn K, Genant H, Alam J, Berclaz PY et al (2015) Relationship between vertebral fracture burden, height loss, and pulmonary function in postmenopausal women with osteoporosis. J Clin Densitom 18(4):506–511

    Article  Google Scholar 

  12. Cosman F, de Beur SJ, LeBoff MS, Lewiecki EM, Tanner B, Randall S, Lindsay R, National Osteoporosis Foundation (2014) Clinician’s guide to prevention and treatment of osteoporosis. Osteoporos Int 25(10):2359–2381

    Article  CAS  Google Scholar 

  13. Compston J, Cooper A, Cooper C, Gittoes N, Gregson C, Harvey N, Hope S, Kanis JA, McCloskey E, Poole KES, Reid DM, Selby P, Thompson F, Thurston A, Vine N, National Osteoporosis Guideline Group (NOGG) (2017) UK clinical guideline for the prevention and treatment of osteoporosis. Arch Osteoporos 12(1):43

    Article  CAS  Google Scholar 

  14. Moayyeri A, Luben RN, Bingham SA, Welch AA, Wareham NJ, Khaw KT (2008) Measured height loss predicts fractures in middle-aged and older men and women: the EPIC-Norfolk prospective population study. J Bone Miner Res 23(3):425–432

    Article  Google Scholar 

  15. Auyeung TW, Lee JS, Leung J, Kwok T, Leung PC, Woo J (2010) Effects of height loss on morbidity and mortality in 3145 community-dwelling Chinese older women and men: a 5-year prospective study. Age Ageing 39(6):699–704

    Article  Google Scholar 

  16. Papaioannou A, Morin S, Cheung AM, Atkinson S, Brown JP, Feldman S, Hanley DA, Hodsman A, Jamal SA, Kaiser SM, Kvern B, Siminoski K, Leslie WD, Scientific Advisory Council of Osteoporosis Canada (2010) 2010 clinical practice guidelines for the diagnosis and management of osteoporosis in Canada: summary. CMAJ. 182(17):1864–1873

    Article  Google Scholar 

  17. Leslie WD, Metge C (2003) Establishing a regional bone density program: lessons from the Manitoba experience. J Clin Densitom 6(3):275–282

    Article  Google Scholar 

  18. Leslie WD, Caetano PA, Macwilliam LR, Finlayson GS (2005) Construction and validation of a population-based bone densitometry database. J Clin Densitom 8(1):25–30

    Article  Google Scholar 

  19. Lix LM, Azimaee M, Osman BA, Caetano P, Morin S, Metge C et al (2012) Osteoporosis-related fracture case definitions for population-based administrative data. BMC Public Health 12:301

    Article  Google Scholar 

  20. Epp R, Alhrbi M, Ward L, Leslie WD (2018) Radiological validation of fracture definitions from administrative data. J Bone Miner Res 33(Supp 1):S275

    Google Scholar 

  21. Leslie WD, Lix LM, Langsetmo L, Berger C, Goltzman D, Hanley DA, Adachi JD, Johansson H, Oden A, McCloskey E, Kanis JA (2011) Construction of a FRAX(R) model for the assessment of fracture probability in Canada and implications for treatment. Osteoporos Int 22(3):817–827

    Article  CAS  Google Scholar 

  22. Leslie WD, Lix LM, Johansson H, Oden A, McCloskey E, Kanis JA, Manitoba Bone Density Program (2010) Independent clinical validation of a Canadian FRAX tool: fracture prediction and model calibration. J Bone Miner Res 25(11):2350–2358

    Article  Google Scholar 

  23. Looker AC, Wahner HW, Dunn WL, Calvo MS, Harris TB, Heyse SP, Johnston CC Jr, Lindsay R (1998) Updated data on proximal femur bone mineral levels of US adults. Osteoporos Int 8(5):468–489

    Article  CAS  Google Scholar 

  24. Leslie WD, Lix LM, Wu X, Manitoba Bone Density P (2013) Competing mortality and fracture risk assessment. Osteoporos Int 24(2):681–688

    Article  CAS  Google Scholar 

  25. Katzman WB, Vittinghoff E, Kado DM, Lane NE, Ensrud KE, Shipp K (2016) Thoracic kyphosis and rate of incident vertebral fractures: the fracture intervention trial. Osteoporos Int 27(3):899–903

    Article  CAS  Google Scholar 

  26. Roux C, Fechtenbaum J, Kolta S, Said-Nahal R, Briot K, Benhamou CL (2010) Prospective assessment of thoracic kyphosis in postmenopausal women with osteoporosis. J Bone Miner Res 25(2):362–368

    Article  Google Scholar 

  27. Yuan HA, Brown CW, Phillips FM (2004) Osteoporotic spinal deformity: a biomechanical rationale for the clinical consequences and treatment of vertebral body compression fractures. J Spinal Disord Tech 17(3):236–242

    Article  Google Scholar 

  28. Roghani T, Zavieh MK, Manshadi FD, King N, Katzman W (2017) Age-related hyperkyphosis: update of its potential causes and clinical impacts-narrative review. Aging Clin Exp Res 29(4):567–577

    Article  Google Scholar 

  29. Kasukawa Y, Miyakoshi N, Hongo M, Ishikawa Y, Noguchi H, Kamo K, Sasaki H, Murata K, Shimada Y (2010) Relationships between falls, spinal curvature, spinal mobility and back extensor strength in elderly people. J Bone Miner Metab 28(1):82–87

    Article  Google Scholar 

  30. Kasukawa Y, Miyakoshi N, Hongo M, Ishikawa Y, Kudo D, Suzuki M, Mizutani T, Kimura R, Ono Y, Shimada Y (2017) Age-related changes in muscle strength and spinal kyphosis angles in an elderly Japanese population. Clin Interv Aging 12:413–420

    Article  Google Scholar 

  31. Ensrud KE, Ewing SK, Stone KL, Cauley JA, Bowman PJ, Cummings SR, Study of Osteoporotic Fractures Research Group (2003) Intentional and unintentional weight loss increase bone loss and hip fracture risk in older women. J Am Geriatr Soc 51(12):1740–1747

    Article  Google Scholar 

  32. Crandall CJ, Yildiz VO, Wactawski-Wende J, Johnson KC, Chen Z, Going SB et al (2015) Postmenopausal weight change and incidence of fracture: post hoc findings from Women’s Health Initiative Observational Study and Clinical Trials. BMJ. 350:h25

    Article  Google Scholar 

  33. Fried LP, Tangen CM, Walston J, Newman AB, Hirsch C, Gottdiener J et al (2001) Frailty in older adults: evidence for a phenotype. J Gerontol A Biol Sci Med Sci 56(3):M146–M156

    Article  CAS  Google Scholar 

  34. Tom SE, Adachi JD, Anderson FA Jr, Boonen S, Chapurlat RD, Compston JE et al (2013) Frailty and fracture, disability, and falls: a multiple country study from the global longitudinal study of osteoporosis in women. J Am Geriatr Soc 61(3):327–334

    Article  Google Scholar 

  35. Li G, Papaioannou A, Thabane L, Levine MAH, Ioannidis G, Wong AKO, Lau A, Adachi JD (2017) Modifying the phenotypic frailty model in predicting risk of major osteoporotic fracture in the elderly. J Am Med Dir Assoc 18(5):414–419

    Article  Google Scholar 

  36. O’Donnell S, Canadian Chronic Disease Surveillance System Osteoporosis Working G (2013) Use of administrative data for national surveillance of osteoporosis and related fractures in Canada: results from a feasibility study. Arch Osteoporos 8:143

    Article  Google Scholar 

  37. Leslie WD, Lix LM, Johansson H, Oden A, McCloskey E, Kanis JA et al (2012) Does osteoporosis therapy invalidate FRAX for fracture prediction? J Bone Miner Res 27(6):1243–1251

    Article  CAS  Google Scholar 

Download references

Acknowledgments

The authors acknowledge the Manitoba Centre for Health Policy for use of data contained in the Population Health Research Data Repository (HIPC 2016/2017-29). SNM is chercheur-boursier des Fonds de Recherche du Québec en Santé. LML is supported by a Tier I Canada Research Chair.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to W.D. Leslie.

Ethics declarations

Conflicts of interest

Suzanne Morin: Nothing to declare for the context of this paper, but has received research grants: Amgen.

Eugene McCloskey: Nothing to declare for the context of this paper, but numerous ad hoc consultancies/speaking honoraria and/or research funding from Amgen, Bayer, General Electric, GSK, Hologic, Lilly, Merck Research Labs, Novartis, Novo Nordisk, Nycomed, Ono, Pfizer, ProStrakan, Roche, Sanofi-Aventis, Servier, Tethys, UBS, and Warner-Chilcott.

Nicholas Harvey: Nothing to declare for the context of this paper, but has received consultancy/lecture fees/honoraria/grant funding from Alliance for Better Bone Health, Amgen, MSD, Eli Lilly, Servier, Shire, Consilient Healthcare, Radius Health, UCB, Kyowa Kirin, and Internis Pharma.

John A. Kanis: Grants from Amgen, Lilly, Radius Health and non-financial support from Medimaps outside the submitted work.

William Leslie, Patrick Martineau, Lisa Lix, Helena Johansson: No conflicts of interest.

Disclaimer

The results and conclusions are those of the authors and no official endorsement by the Manitoba Centre for Health Policy, Manitoba Health, Seniors and Active Living, or other data providers is intended or should be inferred. This article has been reviewed and approved by the members of the Manitoba Bone Density Program Committee.

Additional information

Publisher’s note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Electronic supplementary material

ESM 1

(DOC 56 kb)

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Leslie, W., Schousboe, J., Morin, S. et al. Measured height loss predicts incident clinical fractures independently from FRAX: a registry-based cohort study. Osteoporos Int 31, 1079–1087 (2020). https://doi.org/10.1007/s00198-020-05313-3

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00198-020-05313-3

Keywords

Navigation