A Strategy for Treating Sellar-Parasellar Tumors Based on Long-Term Results of Microsurgery and Gamma Knife Radiosurgery
2004; Linguagem: Inglês
10.1159/000078128
Autores Tópico(s)Head and Neck Surgical Oncology
ResumoAim: To compare how well various adiposity measures predicted the risk of disability, using data from the Melbourne Collaborative Cohort Study (MCCS).Methods: The MCCS is a 14-year cohort study, following 41,514 Australian adults.Adiposity measures were collected at baseline (1990-94) and disability measures for 5 self care activities and mobility, were collected at follow-up (2003)(2004)(2005)(2006)(2007).7142 participants met our eligibility criteria: Australian-born, >=70 years at follow-up and complete adiposity and disability measures .Logistic regression analysed the association between each adiposity measure (body mass index (BMI), waist circumference (WC), hip circumference (HC), waist to hip ratio (WHR), fat mass, fat free mass and percentage fat), in quintile groups, and disability, adjusting for age, education and smoking.Area under the receiver operating curve ranking and comparison between nested models determined the best predictor/s of disability.Results: In both men and women, the odds for disability increased with increasing adiposity.In men, BMI was the single most predictive adiposity measure for all types of disability studied.In women, a model with 2 adiposity measures predicted overall and mobility disability better than a model with only one measure; the best predicting models including BMI and WC.In women, , HC was the single best predictor for self-care disability.Conclusion: BMI and WC generally predicted disability better than body composition measures in both men and women.The difference in the predictive models between sexes may reflect gender differences in the clinical pathways between increased adiposity and subsequent disability.
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