TY - JOUR
T1 - Energy Metabolism and the Burden of Multimorbidity in Older Adults
T2 - Results From the Baltimore Longitudinal Study of Aging
AU - Fabbri, Elisa
AU - An, Yang
AU - Schrack, Jennifer A.
AU - Gonzalez-Freire, Marta
AU - Zoli, Marco
AU - Simonsick, Eleanor M.
AU - Guralnik, Jack M.
AU - Boyd, Cynthia M.
AU - Studenski, Stephanie A.
AU - Ferrucci, Luigi
N1 - Publisher Copyright:
© 2014 The Author.
PY - 2015/11
Y1 - 2015/11
N2 - Excessively elevated resting metabolic rate (RMR) for persons of a certain age, sex, and body composition is a mortality risk factor. Whether elevated RMR constitutes an early marker of health deterioration in older adult has not been fully investigated. Using data from the Baltimore Longitudinal Study of Aging, we hypothesized that higher RMR (i) was cross-sectionally associated with higher multimorbidity and (ii) predicted higher multimorbidity in subsequent follow-ups. The analysis included 695 Baltimore Longitudinal Study of Aging participants, aged 60 or older at baseline, of whom 248 had follow-up data available 2 years later and 109 four years later. Multimorbidity was assessed as number of chronic diseases. RMR was measured by indirect calorimetry and was tested in regression analyses adjusted for covariates age, sex, and dual-energy x-ray absorptiometry-measured total body fat mass and lean mass. Baseline RMR and multimorbidity were positively associated, independent of covariates (p = .002). Moreover, in a three-wave bivariate autoregressive cross-lagged model adjusted for covariates, higher prior RMR predicted greater future multimorbidity above and beyond the cross-sectional and autoregressive associations (p = .034). RMR higher than expected, given age, sex, and body composition, predicts future higher multimorbidity in older adults and may be used as early biomarker of impending health deterioration. Replication and the development of normative data are required for clinical translation.
AB - Excessively elevated resting metabolic rate (RMR) for persons of a certain age, sex, and body composition is a mortality risk factor. Whether elevated RMR constitutes an early marker of health deterioration in older adult has not been fully investigated. Using data from the Baltimore Longitudinal Study of Aging, we hypothesized that higher RMR (i) was cross-sectionally associated with higher multimorbidity and (ii) predicted higher multimorbidity in subsequent follow-ups. The analysis included 695 Baltimore Longitudinal Study of Aging participants, aged 60 or older at baseline, of whom 248 had follow-up data available 2 years later and 109 four years later. Multimorbidity was assessed as number of chronic diseases. RMR was measured by indirect calorimetry and was tested in regression analyses adjusted for covariates age, sex, and dual-energy x-ray absorptiometry-measured total body fat mass and lean mass. Baseline RMR and multimorbidity were positively associated, independent of covariates (p = .002). Moreover, in a three-wave bivariate autoregressive cross-lagged model adjusted for covariates, higher prior RMR predicted greater future multimorbidity above and beyond the cross-sectional and autoregressive associations (p = .034). RMR higher than expected, given age, sex, and body composition, predicts future higher multimorbidity in older adults and may be used as early biomarker of impending health deterioration. Replication and the development of normative data are required for clinical translation.
KW - Aging
KW - Health status
KW - Metabolism
KW - Multimorbidity
KW - Resting metabolic rate
UR - http://www.scopus.com/inward/record.url?scp=84946594515&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84946594515&partnerID=8YFLogxK
U2 - 10.1093/gerona/glu209
DO - 10.1093/gerona/glu209
M3 - Article
C2 - 25409892
AN - SCOPUS:84946594515
SN - 1079-5006
VL - 70
SP - 1297
EP - 1303
JO - Journals of Gerontology - Series A Biological Sciences and Medical Sciences
JF - Journals of Gerontology - Series A Biological Sciences and Medical Sciences
IS - 11
ER -