Journal Article

Weight Cycling and Risk of Forearm Fractures: A 28-Year Follow-up of Men in the Oslo Study

Anne Johanne Søgaard, Haakon E. Meyer, Serena Tonstad, Lise Lund Håheim and Ingar Holme

in American Journal of Epidemiology

Published on behalf of Johns Hopkins Bloomberg School of Public Health

Volume 167, issue 8, pages 1005-1013
Published in print April 2008 | ISSN: 0002-9262
Published online February 2008 | e-ISSN: 1476-6256 | DOI: https://dx.doi.org/10.1093/aje/kwm384
Weight Cycling and Risk of Forearm Fractures: A 28-Year Follow-up of Men in the Oslo Study

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Weight cycling may lead to fractures in non-weight-bearing bone. The authors investigated the association between self-reported episodes of weight loss and forearm fracture in a cohort of elderly Norwegian men (n = 4,601; mean age = 71.6 years). Men initially examined in 1972–1973 as part of the population-based Oslo Study were reexamined in 2000. Weight and height were measured both times; histories of weight cycling (amount and frequency) and fracture and information on covariates were elicited by questionnaire. Irrespective of amount of weight loss, 35–43% of men reporting four or more weight loss episodes at ages 25–50 years had experienced a forearm fracture, as compared with 17–18% of men without weight loss episodes. For weight loss episodes that had occurred after age 50 years, associations were weaker. In an analysis limited to men whose last fracture had occurred after the weight loss episodes, the adjusted odds ratio for forearm fracture was 2.91 (95% confidence interval: 1.10, 7.64) for four or more weight loss episodes versus none. These findings suggest that weight cycling may predict forearm fracture in elderly men and indicate that the potentially harmful effects of weight cycling are related to the number of episodes occurring at ages 25–50 years.

Keywords: body weight changes; follow-up studies; fractures, bone; osteoporosis; radius fractures; weight gain; weight loss

Journal Article.  5233 words. 

Subjects: Public Health and Epidemiology

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