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    Relationship of weight, height, and body mass index with fracture risk at different sites in postmenopausal women: The global longitudinal study of osteoporosis in women (GLOW)

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    Authors
    Compston, Juliet E.
    Flahive, Julie M.
    Hosmer, David W. Jr.
    Watts, Nelson B.
    Siris, Ethel S.
    Saag, Kenneth G.
    Roux, Christian
    Rossini, Maurizio
    Pfeilschifter, Johannes
    Nieves, Jeri W.
    Netelenbos, J. Coen
    March, Lyn
    LaCroix, Andrea Z.
    Hooven, Frederick H.
    Greenspan, Susan L.
    Gehlbach, Stephen H.
    Diez-Perez, Adolfo
    Cooper, Cyrus
    Chapurlat, Roland D.
    Boonen, Steven
    Anderson, Frederick A. Jr.
    Adami, Silvano
    Adachi, Jonathan D.
    GLOW Investigators
    Show allShow less
    UMass Chan Affiliations
    Center for Outcomes Research
    Document Type
    Journal Article
    Publication Date
    2013-07-22
    Keywords
    Osteoporosis, Postmenopausal
    Fractures, Bone
    Health Services Research
    Musculoskeletal Diseases
    Women's Health
    
    Metadata
    Show full item record
    Link to Full Text
    http://dx.doi.org/10.1002/jbmr.2051
    Abstract
    Low body mass index (BMI) is a well-established risk factor for fracture in postmenopausal women. Height and obesity have also been associated with increased fracture risk at some sites. We investigated the relationships of weight, BMI, and height with incident clinical fracture in a practice-based cohort of postmenopausal women participating in the Global Longitudinal study of Osteoporosis in Women (GLOW). Data were collected at baseline and 1, 2, and 3 years. For hip, spine, wrist, pelvis, rib, upper arm/shoulder, clavicle, ankle, lower leg, and upper leg fractures, we modeled the time to incident self-reported fracture over a 3-year period using the Cox proportional hazards model and fitted the best linear or non-linear models containing height, weight, and BMI. Of 52,939 women, 3628 (6.9%) reported an incident clinical fracture during the 3-year follow-up period. Linear BMI showed a significant inverse association with hip, clinical spine, and wrist fractures: adjusted hazard ratios (HRs) (95% confidence intervals [CIs]) per increase of 5 kg/m2 were 0.80 (0.71-0.90), 0.83 (0.76-0.92), and 0.88 (0.83-0.94), respectively (all p < 0.001). For ankle fractures, linear weight showed a significant positive association: adjusted HR per 5-kg increase 1.05 (1.02-1.07) (p < 0.001). For upper arm/shoulder and clavicle fractures, only linear height was significantly associated: adjusted HRs per 10-cm increase were 0.85 (0.75-0.97) (p = 0.02) and 0.73 (0.57-0.92) (p = 0.009), respectively. For pelvic and rib fractures, the best models were for non-linear BMI or weight (p = 0.05 and 0.03, respectively), with inverse associations at low BMI/body weight and positive associations at high values. These data demonstrate that the relationships between fracture and weight, BMI, and height are site-specific. The different associations may be mediated, at least in part, by effects on bone mineral density, bone structure and geometry, and patterns of falling.
    Source
    J Bone Miner Res. 2013 Jul 22. doi: 10.1002/jbmr.2051. Link to article on publisher's site
    DOI
    10.1002/jbmr.2051
    Permanent Link to this Item
    http://hdl.handle.net/20.500.14038/27149
    PubMed ID
    23873741
    Related Resources
    Link to Article in PubMed
    ae974a485f413a2113503eed53cd6c53
    10.1002/jbmr.2051
    Scopus Count
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    GLOW Publications

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