Literature DB >> 15928804

Body mass index as a predictor of fracture risk: a meta-analysis.

C De Laet1, J A Kanis, A Odén, H Johanson, O Johnell, P Delmas, J A Eisman, H Kroger, S Fujiwara, P Garnero, E V McCloskey, D Mellstrom, L J Melton, P J Meunier, H A P Pols, J Reeve, A Silman, A Tenenhouse.   

Abstract

Low body mass index (BMI) is a well-documented risk factor for future fracture. The aim of this study was to quantify this effect and to explore the association of BMI with fracture risk in relation to age, gender and bone mineral density (BMD) from an international perspective using worldwide data. We studied individual participant data from almost 60,000 men and women from 12 prospective population-based cohorts comprising Rotterdam, EVOS/EPOS, CaMos, Rochester, Sheffield, Dubbo, EPIDOS, OFELY, Kuopio, Hiroshima, and two cohorts from Gothenburg, with a total follow-up of over 250,000 person years. The effects of BMI, BMD, age and gender on the risk of any fracture, any osteoporotic fracture, and hip fracture alone was examined using a Poisson regression model in each cohort separately. The results of the different studies were then merged. Without information on BMD, the age-adjusted risk for any type of fracture increased significantly with lower BMI. Overall, the risk ratio (RR) per unit higher BMI was 0.98 (95% confidence interval [CI], 0.97-0.99) for any fracture, 0.97 (95% CI, 0.96-0.98) for osteoporotic fracture and 0.93 (95% CI, 0.91-0.94) for hip fracture (all p <0.001). The RR per unit change in BMI was very similar in men and women ( p >0.30). After adjusting for BMD, these RR became 1 for any fracture or osteoporotic fracture and 0.98 for hip fracture (significant in women). The gradient of fracture risk without adjustment for BMD was not linearly distributed across values for BMI. Instead, the contribution to fracture risk was much more marked at low values of BMI than at values above the median. This nonlinear relation of risk with BMI was most evident for hip fracture risk. When compared with a BMI of 25 kg/m(2), a BMI of 20 kg/m(2) was associated with a nearly twofold increase in risk ratio (RR=1.95; 95% CI, 1.71-2.22) for hip fracture. In contrast, a BMI of 30 kg/m(2), when compared with a BMI of 25 kg/m(2), was associated with only a 17% reduction in hip fracture risk (RR=0.83; 95% CI, 0.69-0.99). We conclude that low BMI confers a risk of substantial importance for all fractures that is largely independent of age and sex, but dependent on BMD. The significance of BMI as a risk factor varies according to the level of BMI. Its validation on an international basis permits the use of this risk factor in case-finding strategies.

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Year:  2005        PMID: 15928804     DOI: 10.1007/s00198-005-1863-y

Source DB:  PubMed          Journal:  Osteoporos Int        ISSN: 0937-941X            Impact factor:   4.507


  40 in total

1.  Factors associated with time to first hip fracture.

Authors:  Y Young; A H Myers; G Provenzano
Journal:  J Aging Health       Date:  2001-11

2.  The burden of osteoporotic fractures: a method for setting intervention thresholds.

Authors:  J A Kanis; A Oden; O Johnell; B Jonsson; C de Laet; A Dawson
Journal:  Osteoporos Int       Date:  2001       Impact factor: 4.507

3.  Risk factors for hip fracture in a Japanese cohort.

Authors:  S Fujiwara; F Kasagi; M Yamada; K Kodama
Journal:  J Bone Miner Res       Date:  1997-07       Impact factor: 6.741

4.  Guidelines for diagnosis and management of osteoporosis. The European Foundation for Osteoporosis and Bone Disease.

Authors:  J A Kanis; P Delmas; P Burckhardt; C Cooper; D Torgerson
Journal:  Osteoporos Int       Date:  1997       Impact factor: 4.507

5.  Risk factors for osteoporosis related to their outcome: fractures.

Authors:  D J van der Voort; P P Geusens; G J Dinant
Journal:  Osteoporos Int       Date:  2001       Impact factor: 4.507

6.  Determinants of incident vertebral fracture in men and women: results from the European Prospective Osteoporosis Study (EPOS).

Authors:  D K Roy; T W O'Neill; J D Finn; M Lunt; A J Silman; D Felsenberg; G Armbrecht; D Banzer; L I Benevolenskaya; A Bhalla; J Bruges Armas; J B Cannata; C Cooper; J Dequeker; M N Diaz; R Eastell; O B Yershova; B Felsch; W Gowin; S Havelka; K Hoszowski; A A Ismail; I Jajic; I Janott; O Johnell; J A Kanis; G Kragl; A Lopez Vaz; R Lorenc; G Lyritis; P Masaryk; C Matthis; T Miazgowski; C Gennari; H A P Pols; G Poor; H H Raspe; D M Reid; W Reisinger; C Scheidt-Nave; J J Stepan; C J Todd; K Weber; A D Woolf; J Reeve
Journal:  Osteoporos Int       Date:  2003-01       Impact factor: 4.507

7.  Risk factors for injurious falls leading to hospitalization or death in a cohort of 19,500 adults.

Authors:  A Malmivaara; M Heliövaara; P Knekt; A Reunanen; A Aromaa
Journal:  Am J Epidemiol       Date:  1993-09-15       Impact factor: 4.897

8.  The Tromsø Study: body height, body mass index and fractures.

Authors:  R M Joakimsen; V Fønnebø; J H Magnus; A Tollan; A J Søgaard
Journal:  Osteoporos Int       Date:  1998       Impact factor: 4.507

9.  Obesity in adulthood and its consequences for life expectancy: a life-table analysis.

Authors:  Anna Peeters; Jan J Barendregt; Frans Willekens; Johan P Mackenbach; Abdullah Al Mamun; Luc Bonneux
Journal:  Ann Intern Med       Date:  2003-01-07       Impact factor: 25.391

10.  Relative contributions of bone density, bone turnover, and clinical risk factors to long-term fracture prediction.

Authors:  L Joseph Melton; Cynthia S Crowson; W Michael O'Fallon; Heinz W Wahner; B Lawrence Riggs
Journal:  J Bone Miner Res       Date:  2003-02       Impact factor: 6.741

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  489 in total

1.  Epidemiology of hip fractures in Austria: evidence for a change in the secular trend.

Authors:  H P Dimai; A Svedbom; A Fahrleitner-Pammer; T Pieber; H Resch; E Zwettler; M Chandran; F Borgström
Journal:  Osteoporos Int       Date:  2010-05-11       Impact factor: 4.507

2.  Can self-reported height and weight be used to calculate 10 year risk of osteoporotic fracture?

Authors:  M J Bridges; S Ruddick
Journal:  J Nutr Health Aging       Date:  2010-10       Impact factor: 4.075

3.  Soft tissue variations influence HR-pQCT density measurements in a spatially dependent manner.

Authors:  Po-Hung Wu; Tanvi Gupta; Hanling Chang; Dimitry Petrenko; Anne Schafer; Galateia Kazakia
Journal:  Bone       Date:  2020-06-27       Impact factor: 4.398

4.  Obesity alters cortical and trabecular bone density and geometry in women.

Authors:  D Sukumar; Y Schlussel; C S Riedt; C Gordon; T Stahl; S A Shapses
Journal:  Osteoporos Int       Date:  2010-06-09       Impact factor: 4.507

5.  Diabetes and femoral neck strength: findings from the Hip Strength Across the Menopausal Transition Study.

Authors:  Shinya Ishii; Jane A Cauley; Carolyn J Crandall; Preethi Srikanthan; Gail A Greendale; Mei-Hua Huang; Michelle E Danielson; Arun S Karlamangla
Journal:  J Clin Endocrinol Metab       Date:  2011-11-09       Impact factor: 5.958

6.  Soy milk and dairy consumption is independently associated with ultrasound attenuation of the heel bone among postmenopausal women: the Adventist Health Study-2.

Authors:  Vichuda Lousuebsakul Matthews; Synnove F Knutsen; W Lawrence Beeson; Gary E Fraser
Journal:  Nutr Res       Date:  2011-10       Impact factor: 3.315

7.  Obesity is not protective against fracture in postmenopausal women: GLOW.

Authors:  Juliet E Compston; Nelson B Watts; Roland Chapurlat; Cyrus Cooper; Steven Boonen; Susan Greenspan; Johannes Pfeilschifter; Stuart Silverman; Adolfo Díez-Pérez; Robert Lindsay; Kenneth G Saag; J Coen Netelenbos; Stephen Gehlbach; Frederick H Hooven; Julie Flahive; Jonathan D Adachi; Maurizio Rossini; Andrea Z Lacroix; Christian Roux; Philip N Sambrook; Ethel S Siris
Journal:  Am J Med       Date:  2011-11       Impact factor: 4.965

8.  In vivo estimation of bone stiffness at the distal femur and proximal tibia using ultra-high-field 7-Tesla magnetic resonance imaging and micro-finite element analysis.

Authors:  Gregory Chang; Chamith S Rajapakse; James S Babb; Stephen P Honig; Michael P Recht; Ravinder R Regatte
Journal:  J Bone Miner Metab       Date:  2011-11-30       Impact factor: 2.626

9.  Body mass index and risk of adverse cardiac events in elderly patients with hip fracture: a population-based study.

Authors:  John A Batsis; Jeanne M Huddleston; L Joseph Melton; Paul M Huddleston; Francisco Lopez-Jimenez; Dirk R Larson; Rachel E Gullerud; M Molly McMahon
Journal:  J Am Geriatr Soc       Date:  2009-01-16       Impact factor: 5.562

10.  Incidence of disability and its associated factors in Japanese men and women: the Longitudinal Cohorts of Motor System Organ (LOCOMO) study.

Authors:  Noriko Yoshimura; Toru Akune; Saeko Fujiwara; Yoko Shimizu; Hideyo Yoshida; Yuji Nishiwaki; Akihiro Sudo; Go Omori; Munehito Yoshida; Hiroshi Shimokata; Takao Suzuki; Shigeyuki Muraki; Hiroyuki Oka; Kozo Nakamura
Journal:  J Bone Miner Metab       Date:  2014-04-27       Impact factor: 2.626

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