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Assessment of determinants for osteoporosis in elderly men

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Abstract

Summary

The aim of this cross-sectional study was to determine and quantify some determinants associated to low bone mineral density (BMD) in elderly men. This study showed that ageing, a lower body mass index (BMI), a higher blood level of C-terminal cross-linking telopeptides of type I collagen (CTX-1), family history of osteoporosis, and/or fracture and prior fracture were associated with bone mineral density.

Introduction

Our aims were to identify some determinants associated to low bone mineral density in men and to develop a simple algorithm to predict osteoporosis.

Methods

A sample of 1,004 men aged 60 years and older was recruited. Biometrical, serological, clinical, and lifestyle determinants were collected. Univariate, multivariate, and logistic regression analyses were performed. Receiver operating characteristic analysis was used to assess the discriminant performance of the algorithm.

Results

In the multiple regression analysis, only age, BMI, CTX-1, and family history of osteoporosis and/or fracture were able to predict the femoral neck T-score. When running the procedure with the total hip T-score, prior fracture also appeared to be significant. With the lumbar spine T-score, only age, BMI, and CTX-1 were retained. The best algorithm was based on age, BMI, family history, and CTX-1. A cut-off point of 0.25 yielded a sensibility of 78%, a specificity of 59% with an area under the curve of 0.73 in the development and validation cohorts.

Conclusion

Ageing, a lower BMI, higher CTX-1, family history, and prior fracture were associated with T-score. Our algorithm is a simple approach to identify men at risk for osteoporosis.

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Conflicts of interest

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Author information

Authors and Affiliations

  1. Department of Public Health, Epidemiology and Health Economics, University of Liège, Avenue de l’Hôpital 3—CHU B23, 4000, Sart-Tilman, Belgium

    S. Scholtissen, O. Bruyère & J. Y. Reginster

  2. EA 4003 & Inserm CIC-EC & CHU de Nancy, Nancy University, BP 184, 54505, Vandoeuvre-lès-Nancy, France

    F. Guillemin

  3. Service d’Endocrinologie, CHU de Nancy, Rue du Morvan 5, 54500, Vandoeuvre, France

    V. Pascal-Vigneron & G. Weryha

  4. Bone & Cartilage Markers Laboratory, CHU—Department of Clinical Biology, University of Liège, 4000, Sart-Tilman, Belgium

    J. Collette

  5. Laboratoire de Biochimie et Biologie Moléculaire, Hôpital Central, Avenue du Maréchal de Lattre de Tassigny 19, 54000, Nancy, France

    B. Dousset

  6. Association Luxembourgeoise pour l’Etude du Métabolisme Osseux, Boulevard J-F Kennedy 1, 4170 Esch/Alzette, Luxembourg, Grand Duchy of Luxembourg

    C. Kemmer

  7. Observatoire de la Santé, Province de Luxembourg, Rue de la Station 49, 6900, Marloie, Belgium

    S. Culot

  8. Hôpital du Centre Ardenne de Libramont (CHA), Avenue de Houffalize 35, 6800, Libramont, Belgium

    D. Crémer

  9. Hôpital Princesse Paola (IFAC), Rue du Viviers 21, 6900, Marche-en-Famenne, Belgium

    H. Dejardin

  10. Hôpital Sainte-Thérèse (IFAC), Chaussée de Houffalize 1, 6600, Bastogne, Belgium

    G. Hubermont

  11. Clinique Saint-Joseph (CSL), Rue des Déportés 137, 6700, Arlon, Belgium

    D. Lefebvre

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  1. S. Scholtissen
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  2. F. Guillemin
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  3. O. Bruyère
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  4. J. Collette
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  5. B. Dousset
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  7. S. Culot
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  8. D. Crémer
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  11. D. Lefebvre
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  12. V. Pascal-Vigneron
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  13. G. Weryha
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  14. J. Y. Reginster
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Corresponding author

Correspondence to S. Scholtissen.

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Scholtissen, S., Guillemin, F., Bruyère, O. et al. Assessment of determinants for osteoporosis in elderly men. Osteoporos Int 20, 1157–1166 (2009). https://doi.org/10.1007/s00198-008-0789-6

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  • DOI: https://doi.org/10.1007/s00198-008-0789-6

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