Anthropometric aging links neuromusculoskeletal diseases to cognitive and physical deficits.
Anthropometric aging links neuromusculoskeletal diseases to cognitive and physical deficits.
Where did the research take place?
The study site has not been established. Author addresses may differ from where the research occurred.
Baltimore, US · Author affiliation
Translational Gerontology Branch, National Institute on Aging Intramural Research Program, NIH, Baltimore, Maryland, USA.Location evidence
Bethesda, US · Author affiliation
Diabetes, Endocrinology, and Obesity Branch, National Institute of Diabetes and Digestive and Kidney Diseases Intramural Research Program, NIH, Bethesda, Maryland, USA.Location evidence
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Original abstract
BACKGROUND: Aging changes whole-body anthropometry. Accelerated anthropometric aging can be operationalized as the age gap between the anthropometric-predicted age and the chronological age (AAG). What disease conditions affect AAG and subsequent functional deficits remains unclear. METHODS: In 302 Baltimore Longitudinal Study of Aging participants (mean age = 71.7 years, 58% women, 30% Black), we examined the associations between AAG and disease conditions using multivariable linear regression, adjusted for age, sex, and race, and further tested whether AAG would mediate the association between diseases and functional outcomes. RESULTS: Across disease conditions examined, AAG was specifically associated with osteoporosis, connective tissue disease, and neurodegenerative disease (including mild cognitive impairment, dementia, and Parkinson's disease) (p = .006, .047, and .034, respectively) and showed a trend to spinal stenosis (p = .098). AAG was not associated with pulmonary and vascular conditions, diabetes, hyperlipidemia, liver and kidney diseases, eye diseases, or cancer. AAG significantly mediated the associations between osteoporosis, connective tissue disease, and neurodegenerative disease and a range of cognitive and physical function measures (mediation effects all p < .05). Notably, AAG mediated the associations between neurodegenerative disease and measures important for motor planning and control, such as visuospatial ability, gesture imitation, and rapid gait speed. AAG also mediated the associations of osteoporosis and spinal stenosis with muscle strength. CONCLUSIONS: Anthropometric aging is specifically associated with neuromusculoskeletal diseases and may partly account for the associations between certain disease conditions and subsequent functional deficits. Future studies involving blood biomarkers are warranted to uncover the biological processes of anthropometric aging.