Adiposity measures as predictors of long-term physical disability

Wong, Evelyn, Stevenson, Christopher, Backholer, Kathryn, Mannan, Haider, Pasupathi, Kumar, Hodge, Allison, Freak-Poli, Rosanne, and Peeters, Anna (2012) Adiposity measures as predictors of long-term physical disability. Annals of Epidemiology, 22 (10). pp. 710-716.

[img] PDF (Published Version) - Published Version
Restricted to Repository staff only

View at Publisher Website: http://dx.doi.org/10.1016/j.annepidem.20...
16


Abstract

Objective: To compare the predictive value of a variety of adiposity measures for the risk of disability.

Design/setting: This study used 14-year follow-up of the Melbourne Collaborative Cohort Study (n = 7142). Adiposity measures were collected at baseline and disability measures for 5 self-care activities and mobility were collected at follow-up (2003–2007).

Methods: Logistic regression was used to analyze the association between each adiposity measure (body mass index [BMI], waist circumference [WC], hip circumference, waist-to-hip ratio, fat mass, fat free mass, and percentage fat and disability. Area under the receiver operating curve ranking and comparison between nested models were used to determine the best predictor of disability.

Results: For men and women, the odds for disability increased with increasing adiposity. In men, BMI was the most predictive adiposity measure for all types of disability. In women, 2 adiposity measures (BMI and WC) predicted overall and mobility disability better than only one measure, with hip circumference the single best predictor for self-care disability.

Conclusions: BMI and WC predicted disability well in men and women. Identifying individuals at high risk of future disability through simple measures of adiposity will be essential if we are to adequately cater for our ageing population.

Item ID: 35534
Item Type: Article (Research - C1)
ISSN: 1873-2585
Keywords: adiposity; obesity; physical disability; predictors
Funders: Monash University, VicHealth, National Health and Medical Research Council (NHMRC)
Projects and Grants: NHMRC grant 465130, NHMRC grant 520316
Date Deposited: 16 Oct 2014 23:44
FoR Codes: 11 MEDICAL AND HEALTH SCIENCES > 1117 Public Health and Health Services > 111706 Epidemiology @ 60%
01 MATHEMATICAL SCIENCES > 0104 Statistics > 010402 Biostatistics @ 40%
SEO Codes: 92 HEALTH > 9204 Public Health (excl. Specific Population Health) > 920499 Public Health (excl. Specific Population Health) not elsewhere classified @ 100%
More Statistics

Actions (Repository Staff Only)

Item Control Page Item Control Page