The effect of obesity and gender on body segment parameters in older adults
| Autor: | Alison L. Sukits, Rakié Cham, Jean L. McCrory, April J. Chambers |
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| Jazyk: | angličtina |
| Rok vydání: | 2009 |
| Předmět: |
Gerontology
Male Biophysics Body size Article Age Distribution Sex Factors Report Body Geriatric population Injury prevention medicine Body Size Humans Orthopedics and Sports Medicine Obesity Sex Distribution Aged Anthropometry business.industry Body segment Age Factors Pennsylvania medicine.disease Age distribution Female business |
| Popis: | Anthropometry is a necessary aspect of aging-related research, especially in biomechanics and injury prevention. Little information is available on inertial parameters in the geriatric population that account for gender and obesity effects. The goal of this study was to report body segment parameters in adults aged 65 years and older, and to investigate the impact of aging, gender and obesity.Eighty-three healthy old (65-75 years) and elderly (75 years) adults were recruited to represent a range of body types. Participants underwent a whole body dual energy X-ray absorptiometry scan. Analysis was limited to segment mass, length, longitudinal center of mass position, and frontal plane radius of gyration. A mixed-linear regression model was performed using gender, obesity, age group and two-way and three-way interactions (alpha=0.05).Mass distribution varied with obesity and gender. Males had greater trunk and upper extremity mass while females had a higher lower extremity mass. In general, obese elderly adults had significantly greater trunk segment mass with less thigh and shank segment mass than all others. Gender and obesity effects were found in center of mass and radius of gyration. Non-obese individuals possessed a more distal thigh and shank center of mass than obese. Interestingly, females had more distal trunk center of mass than males.Age, obesity and gender have a significant impact on segment mass, center of mass and radius of gyration in old and elderly adults. This study underlines the need to consider age, obesity and gender when utilizing anthropometric data sets. |
| Databáze: | OpenAIRE |
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