Literature DB >> 15255067

Effect of age, weight and lifestyle factors on calcaneal quantitative ultrasound in premenopausal women: the ESOPO study.

S Adami1, S Giannini, R Giorgino, G C Isaia, S Maggi, L Sinigaglia, P Filipponi, G Crepaldi.   

Abstract

The objective of this study was to identify the determinants of bone mass as measured by quantitative ultrasound (QUS) in premenopausal women. The study population is part of the "Epidemiological Study On the Prevalence of Osteoporosis" (ESOPO) on risk of the general population of Italy. We report the data on 2727 premenopausal women aged 40-50 years who are still regularly menstruating. Bone stiffness (called simplicity stiffness), which is derived from the values of broadband ultrasound attenuation (BUA) and speed of sound (SoS), was measured by a heel QUS device (Achilles Apparatus, Lunar, Co. USA). The most commonly recognized determinants of bone mass were modelled with stiffness by multiple regression analysis or analysis of variance (ANOVA). Bone stiffness was negatively related to age and number of cigarettes and positively to body weight, body weight at 25 years, height and estimated daily calcium intake. By multiple regression analysis, independent, positive, predictors of bone stiffness were age, weight at 25 years and daily calcium intake. Bone stiffness adjusted for age and body weight at 25 years was positively associated with outdoor activity score and negatively with number of pregnancies, chronic use of any drug, smoking and subjective health status. Bone stiffness was also somewhat (p < 0.015) negatively related to history of prolonged bedrest and thyroxin use. In conclusion, our results indicate that risk factors usually associated in other studies with DXA-BMD in elderly women are also associated with calcaneal bone stiffness, as measured by QUS in premenopausal women. These findings should help to identify premenopausal women at risk and to design an early strategy for osteoporosis prevention based on eliminating modifiable risks.

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Year:  2004        PMID: 15255067     DOI: 10.1007/s00223-003-0036-2

Source DB:  PubMed          Journal:  Calcif Tissue Int        ISSN: 0171-967X            Impact factor:   4.333


  11 in total

1.  Quantitative ultrasound in relation to risk factors for low bone mineral density in South African pre-menopausal women.

Authors:  Deborah Constant; Lynn Rosenberg; Yuqing Zhang; Diane Cooper; Asgar A Kalla; Lisa Micklesfield; Margaret Hoffman
Journal:  Arch Osteoporos       Date:  2009-09-24       Impact factor: 2.617

2.  Quantitative ultrasound variables of the heel in Finnish men aged 18-20 yr: predictors, relationship to bone mineral content, and changes during military service.

Authors:  V-V Välimäki; E Löyttyniemi; M J Välimäki
Journal:  Osteoporos Int       Date:  2006-08-31       Impact factor: 4.507

3.  Oral health behaviors and bone mineral density in South Korea: the 2008-2010 Korean National Health and Nutrition Examination Survey.

Authors:  Hyun-Jin Kim; Yang-Hyun Kim; Kyung-Hwan Cho; Byoung-Duck Han; Seon-Mee Kim; Youn-Seon Choi; Do-Hoon Kim; Kyung-Do Han; Yong-Joo Lee; Chul-Min Kim
Journal:  J Bone Miner Metab       Date:  2015-06-02       Impact factor: 2.626

4.  Contralateral differences in quantitative ultrasound of the heel: the importance of side in clinical practice.

Authors:  Faidon Magkos; Yannis Manios; Eirini Babaroutsi; Labros S Sidossis
Journal:  Osteoporos Int       Date:  2004-12-07       Impact factor: 4.507

5.  Quantitative ultrasonometry during pregnancy and lactation: a longitudinal study.

Authors:  L Hellmeyer; B Hahn; C Fischer; O Hars; J Boekhoff; J Maier; P Hadji
Journal:  Osteoporos Int       Date:  2014-12-16       Impact factor: 4.507

6.  Identifying osteoporosis in a primary care setting with quantitative ultrasound: relationship to anthropometric and lifestyle factors.

Authors:  Ayfer Gemalmaz; Guzel Discigil; Nazli Sensoy; Okay Basak
Journal:  J Bone Miner Metab       Date:  2007-04-20       Impact factor: 2.626

7.  ALDH2 polymorphisms and bone mineral density in an elderly Japanese population.

Authors:  J Yamaguchi; Y Hasegawa; M Kawasaki; T Masui; T Kanoh; N Ishiguro; N Hamajima
Journal:  Osteoporos Int       Date:  2006-03-07       Impact factor: 4.507

8.  Physical Activity, Bone Health, and Obesity in Peri-/Pre- and Postmenopausal Women: Results from the EPIC-Potsdam Study.

Authors:  Juliane Menzel; Romina di Giuseppe; Angelika Wientzek; Anja Kroke; Heiner Boeing; Cornelia Weikert
Journal:  Calcif Tissue Int       Date:  2015-06-25       Impact factor: 4.333

9.  Risk factors for osteoporosis and fractures in postmenopausal women between 50 and 65 years of age in a primary care setting in Spain: a questionnaire.

Authors:  Maria Luz Rentero; Cristina Carbonell; Marta Casillas; Milagros González Béjar; Rafael Berenguer
Journal:  Open Rheumatol J       Date:  2008-11-14

10.  BMI and low bone mass in an elderly male nursing home population.

Authors:  Miguel A Paniagua; Julie E Malphurs; Luis F Samos
Journal:  Clin Interv Aging       Date:  2006       Impact factor: 4.458

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