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. 2021 Dec;7(4):127-133.
doi: 10.1016/j.afos.2021.10.001. Epub 2021 Oct 21.

Daily activity relates to not only femoral bone mineral density, but also hip structural analysis parameters: A cross-sectional observational study

Norifumi Fujii  1   2 , Nobukazu Okimoto  3   4 , Manabu Tsukamoto  5 , Norimitsu Fujii  6 , Kei Asano  4 , Yoshiaki Ikejiri  4 , Toru Yoshioka  4 , Takafumi Tajima  5 , Yoshiaki Yamanaka  5 , Yukichi Zenke  5 , Makoto Kawasaki  5 , Junya Ozawa  7 , Takuya Umehara  7 , Shogo Takano  1 , Hideaki Murata  4 , Nobuhiro Kito  7
Affiliations

Daily activity relates to not only femoral bone mineral density, but also hip structural analysis parameters: A cross-sectional observational study

Norifumi Fujii et al. Osteoporos Sarcopenia. 2021 Dec.

Abstract

Objectives: Physical activity to maintain bone mass and strength is important for hip fracture prevention. We aim to investigate the relationship between physical performance/activity status and bone mineral density (BMD)/hip structural analysis (HSA) parameters among postmenopausal women in Japan.

Methods: Sixty-two postmenopausal women diagnosed with osteoporosis (mean age: 72.61 ± 7.43 years) were enrolled in this cross-sectional observational study. They were evaluated for BMD and HSA in the proximal femur by dual-energy X-ray absorptiometry and underwent several physical performance tests, the Geriatric Locomotive Function Scale of 25 questions (GLFS-25). Principal component analysis (PCA) was used to summarize data on the BMD/HSA parameters. Partial correlation analysis, multiple regression analysis, and structural equation modeling (SEM) were performed to investigate the relationship between physical performance/activity status and BMD/HSA parameters of the proximal femur.

Results: In a partial correlation analysis adjusted for age and body mass index (BMI), GLFS-25 scores were correlated with HSA parameter (|r| = 0.260-0.396, P < 0.05). Principal component 1 (PC1) calculated by PCA was interpreted as more reflective of bone strength based on the value of BMD/HSA parameters. The SEM results showed that the model created by the 3 questions (Q13, brisk walking; Q15, keep walking without rest; Q20, load-bearing tasks and housework) of the GLFS-25 had the best fit and was associated with the PC1 score (β = -0.444, P = 0.001).

Conclusions: The GLFS-25 score was associated with the BMD/HSA parameter, which may reflect the bone strength of the proximal femur as calculated by PCA.

Keywords: Bone mineral density; Geriatric locomotive function scale of 25 questions; Hip structural analysis; Locomotive syndrome; Osteoporosis.

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Conflict of interest statement

Nobukazu Okimoto has received consulting fees from Teijin Pharma Ltd and Asahi-Kasei Pharmaceutical Co., Ltd. Nobukazu Okimoto has received payments for lectures, such as speakers’ bureau fees, from Astellas Pharma Inc.; Asahi-Kasei Pharmaceutical Co., Ltd.; Eli Lilly Japan K·K.; Chugai Pharmaceutical Co.; Amgen Astellas BioPharma K·K.; Daiichi-Sankyo Co. Ltd.; Eisai Co., Ltd.; Teijin Pharma Ltd.; Pfizer Japan Inc.; Ono Pharmaceutical Co.; and Mitsubishi-Tanabe Pharma Corp. There are no conflicts of interest for all other authors.

Figures

Fig. 1
Fig. 1
Calculated region of the hip structural analysis parameters used in this study. Parameters calculated in the narrow neck region (NN) and intertrochanter region (IT) were used in the analysis. (a); Narrow neck region, (b); Intertrochanter region.
Fig. 2
Fig. 2
Final model created by structural equation modeling The numbers on the arrows represent the standardized regression coefficients. The ellipse indicates a latent variable. χ2 = 0.714, CFI = 1.000, GFI = 0.994, AGFI = 0.971, RMSEA = 0.000, AIC = 16.714. ∗∗P < 0.01 CFI, comparative fit index; GFI, goodness-of-fit index; AGFI, adjusted goodness-of-fit index; RMSEA, root mean square error of approximation; AIC, Akaike's information criterion.
See this image and copyright information in PMC

References

    1. Penrod J.D., Litke A., Hawkes W.G., Magaziner J., Koval K.J., Doucette J.T., et al. Heterogeneity in hip fracture patients: age, functional status, and comorbidity. J Am Geriatr Soc. 2007;55:407–413. - PubMed
    1. Roche J.J.W., Wenn R.T., Sahota O., Moran C.G. Effect of comorbidities and postoperative complications on mortality after hip fracture in elderly people: prospective observational cohort study. Br Med J. 2005;331:1374–1376. - PMC - PubMed
    1. Cooper C., Campion G., Melton L.J. Hip fractures in the elderly: a world-wide projection. Osteoporos Int. 1992;2:285–289. - PubMed
    1. Armbrecht G., Belavý D.L., Backström M., Beller G., Alexandre C., Rizzoli R., et al. Trabecular and cortical bone density and architecture in women after 60 days of bed rest using high-resolution pQCT: wise 2005. J Bone Miner Res. 2011;26:2399–2410. - PubMed
    1. Thabet A.A.E.M., Alshehri M.A., Helal O.F., Refaat B. The impact of closed versus open kinetic chain exercises on osteoporotic femur neck and risk of fall in postmenopausal women. J Phys Ther Sci. 2017;29:1612–1616. - PMC - PubMed