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https://hdl.handle.net/2440/51063
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dc.contributor.author | Atlantis, E. | - |
dc.contributor.author | Martin, S. | - |
dc.contributor.author | Haren, M. | - |
dc.contributor.author | Taylor, A. | - |
dc.contributor.author | Wittert, G. | - |
dc.date.issued | 2008 | - |
dc.identifier.citation | American Journal of Clinical Nutrition, 2008; 88(1):95-104 | - |
dc.identifier.issn | 0002-9165 | - |
dc.identifier.issn | 1938-3207 | - |
dc.identifier.uri | http://hdl.handle.net/2440/51063 | - |
dc.description | © 2008 American Society for Nutrition | - |
dc.description.abstract | BACKGROUND: Age-related change in body composition is associated with adverse health outcomes, including functional decline, disability, morbidity, and early mortality. Prevention of age-related changes requires a greater understanding of the associations among age, lifestyle factors, and body composition. OBJECTIVE: We aimed to comprehensively determine lifestyle factors associated with age-related differences in body composition assessed by using dual-energy X-ray absorptiometry. DESIGN: We analyzed baseline (cross-sectional) data collected from 2002 to 2005 for approximately 1200 men in the Florey Adelaide Male Aging Study, a regionally representative cohort of Australian men aged 35-81 y. RESULTS: Mean values for whole-body lean mass (LM) and areal bone mineral density (aBMD) decreased, whereas mean values for abdominal fat mass (FM) and whole-body and abdominal percentage FM (%FM) increased with age. No significant age-related differences were found for whole-body FM. Multiple adjusted odds of being in the highest tertiles for whole-body and abdominal %FM decreased for smokers (63-71%) but increased with age group and for lowest energy (43-50%), carbohydrate (92-107%), and fiber (107%) intake tertiles. Multiple adjusted odds of being in the highest aBMD tertile decreased for lowest body mass (92%) and carbohydrate intake (63%) tertiles and for men aged > or = 75 y (78%) but increased for Australian birth (58%) and for participation in vigorous physical activities (82%). CONCLUSIONS: Age-related differences in body composition indicate that whole-body FM remains stable but increases viscerally and that whole-body %FM is confounded by LM, whereas aBMD decreases with age. Age-related differences in %FM and aBMD are associated with demographic and lifestyle factors. | - |
dc.description.statementofresponsibility | Evan Atlantis, Sean A. Martin, Matthew T. Haren, Anne W. Taylor, and Gary A. Wittert for the Florey Adelaide Male Aging Study | - |
dc.language.iso | en | - |
dc.publisher | Amer Soc Clinical Nutrition | - |
dc.source.uri | http://dx.doi.org/10.1093/ajcn/88.1.95 | - |
dc.subject | Florey Adelaide Male Aging Study | - |
dc.subject | Muscle, Skeletal | - |
dc.subject | Adipose Tissue | - |
dc.subject | Humans | - |
dc.subject | Absorptiometry, Photon | - |
dc.subject | Diet | - |
dc.subject | Odds Ratio | - |
dc.subject | Cohort Studies | - |
dc.subject | Cross-Sectional Studies | - |
dc.subject | Smoking | - |
dc.subject | Life Style | - |
dc.subject | Demography | - |
dc.subject | Body Composition | - |
dc.subject | Aging | - |
dc.subject | Bone Density | - |
dc.subject | Adult | - |
dc.subject | Aged | - |
dc.subject | Aged, 80 and over | - |
dc.subject | Middle Aged | - |
dc.subject | Australia | - |
dc.subject | Male | - |
dc.title | Lifestyle factors associated with age-related differences in body composition: the Florey Adelaide Male Aging Study | - |
dc.type | Journal article | - |
dc.identifier.doi | 10.1093/ajcn/88.1.95 | - |
pubs.publication-status | Published | - |
dc.identifier.orcid | Atlantis, E. [0000-0001-5877-6141] | - |
dc.identifier.orcid | Taylor, A. [0000-0002-4422-7974] | - |
dc.identifier.orcid | Wittert, G. [0000-0001-6818-6065] | - |
Appears in Collections: | Aurora harvest Medicine publications |
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