Temporal Association between Abdominal Weight Status and Healthy Aging: Findings from the 2011–2018 National Health and Aging Trends Study

Furong Xu, Jacob E. Earp, Geoffrey W. Greene, Steven A. Cohen, Ingrid E. Lofgren, Matthew J. Delmonico and Mary L. Greaney
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Furong Xu: Department of Kinesiology, University of Rhode Island, Independence Square II, Kingston, RI 02881, USA
Jacob E. Earp: Department of Kinesiology, University of Rhode Island, Independence Square II, Kingston, RI 02881, USA
Geoffrey W. Greene: Department of Nutrition and Food Sciences, University of Rhode Island, Fogarty Hall, Kingston, RI 02881, USA
Steven A. Cohen: Department of Health Studies, University of Rhode Island, Independence Square II, Kingston, RI 02881, USA
Ingrid E. Lofgren: Department of Nutrition and Food Sciences, University of Rhode Island, Fogarty Hall, Kingston, RI 02881, USA
Matthew J. Delmonico: Department of Kinesiology, University of Rhode Island, Independence Square II, Kingston, RI 02881, USA
Mary L. Greaney: Department of Health Studies, University of Rhode Island, Independence Square II, Kingston, RI 02881, USA

IJERPH, 2020, vol. 17, issue 16, 1-13

Abstract: Background/objectives: The longitudinal effect of abdominal weight status (AWS) defined by waist circumference (WC) on healthy aging has not yet been comprehensively examined. Therefore, the purpose of the present study was to examine the temporal association between WC-defined AWS and a comprehensive assessment for healthy aging. Subjects/methods: This study utilized data from 5211 respondents aged 65+ who participated in the National Health and Aging Trends Study from 2011 to 2018. Mixed effects regression models were used to examine the association between baseline AWS and the annual change rate in healthy aging score (HAS) via interaction terms (AWS*round) adjusting for confounding effects. Further multiple mixed models examined the relationship of AWS and HAS over an 8-year period. Results: There were no annual change rate differences in HAS by baseline AWS, regardless of sex. However, males with abdominal obesity were more likely to have a lower HAS than males with normal AWS (β = −0.20, 95% CI: −0.30, −0.10, p < 0.001) but no difference in HAS was observed between males with overweight and normal AWS. A similar pattern was observed among females. Conclusions: Study results indicate that AWS was associated with HAS but it did not modify annual HAS change rate over time.

Keywords: healthy aging; waist circumference; abdominal obesity (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2020
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