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The association of lean and fat mass with all-cause mortality in older adults: The Cardiovascular Health Study.

Publication ,  Journal Article
Spahillari, A; Mukamal, KJ; DeFilippi, C; Kizer, JR; Gottdiener, JS; Djoussé, L; Lyles, MF; Bartz, TM; Murthy, VL; Shah, RV
Published in: Nutr Metab Cardiovasc Dis
November 2016

BACKGROUND AND AIMS: Understanding contributions of lean and fat tissue to cardiovascular and non-cardiovascular mortality may help clarify areas of prevention in older adults. We aimed to define distributions of lean and fat tissue in older adults and their contributions to cause-specific mortality. METHODS AND RESULTS: A total of 1335 participants of the Cardiovascular Health Study (CHS) who underwent dual-energy x-ray absorptiometry (DEXA) scans were included. We used principal components analysis (PCA) to define two independent sources of variation in DEXA-derived body composition, corresponding to principal components composed of lean ("lean PC") and fat ("fat PC") tissue. We used Cox proportional hazards regression using these PCs to investigate the relationship between body composition with cardiovascular and non-cardiovascular mortality. Mean age was 76.2 ± 4.8 years (56% women) with mean body mass index 27.1 ± 4.4 kg/m2. A greater lean PC was associated with lower all-cause (HR = 0.91, 95% CI 0.84-0.98, P = 0.01) and cardiovascular mortality (HR = 0.84, 95% CI 0.74-0.95, P = 0.005). The lowest quartile of the fat PC (least adiposity) was associated with a greater hazard of all-cause mortality (HR = 1.24, 95% CI 1.04-1.48, P = 0.02) relative to fat PCs between the 25th-75th percentile, but the highest quartile did not have a significantly greater hazard (P = 0.70). CONCLUSION: Greater lean tissue mass is associated with improved cardiovascular and overall mortality in the elderly. The lowest levels of fat tissue mass are linked with adverse prognosis, but the highest levels show no significant mortality protection. Prevention efforts in the elderly frail may be best targeted toward improvements in lean muscle mass.

Duke Scholars

Published In

Nutr Metab Cardiovasc Dis

DOI

EISSN

1590-3729

Publication Date

November 2016

Volume

26

Issue

11

Start / End Page

1039 / 1047

Location

Netherlands

Related Subject Headings

  • United States
  • Sarcopenia
  • Risk Factors
  • Risk Assessment
  • Protective Factors
  • Prospective Studies
  • Proportional Hazards Models
  • Prognosis
  • Principal Component Analysis
  • Prevalence
 

Citation

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Spahillari, A., Mukamal, K. J., DeFilippi, C., Kizer, J. R., Gottdiener, J. S., Djoussé, L., … Shah, R. V. (2016). The association of lean and fat mass with all-cause mortality in older adults: The Cardiovascular Health Study. Nutr Metab Cardiovasc Dis, 26(11), 1039–1047. https://doi.org/10.1016/j.numecd.2016.06.011
Spahillari, A., K. J. Mukamal, C. DeFilippi, J. R. Kizer, J. S. Gottdiener, L. Djoussé, M. F. Lyles, T. M. Bartz, V. L. Murthy, and R. V. Shah. “The association of lean and fat mass with all-cause mortality in older adults: The Cardiovascular Health Study.Nutr Metab Cardiovasc Dis 26, no. 11 (November 2016): 1039–47. https://doi.org/10.1016/j.numecd.2016.06.011.
Spahillari A, Mukamal KJ, DeFilippi C, Kizer JR, Gottdiener JS, Djoussé L, et al. The association of lean and fat mass with all-cause mortality in older adults: The Cardiovascular Health Study. Nutr Metab Cardiovasc Dis. 2016 Nov;26(11):1039–47.
Spahillari, A., et al. “The association of lean and fat mass with all-cause mortality in older adults: The Cardiovascular Health Study.Nutr Metab Cardiovasc Dis, vol. 26, no. 11, Nov. 2016, pp. 1039–47. Pubmed, doi:10.1016/j.numecd.2016.06.011.
Spahillari A, Mukamal KJ, DeFilippi C, Kizer JR, Gottdiener JS, Djoussé L, Lyles MF, Bartz TM, Murthy VL, Shah RV. The association of lean and fat mass with all-cause mortality in older adults: The Cardiovascular Health Study. Nutr Metab Cardiovasc Dis. 2016 Nov;26(11):1039–1047.
Journal cover image

Published In

Nutr Metab Cardiovasc Dis

DOI

EISSN

1590-3729

Publication Date

November 2016

Volume

26

Issue

11

Start / End Page

1039 / 1047

Location

Netherlands

Related Subject Headings

  • United States
  • Sarcopenia
  • Risk Factors
  • Risk Assessment
  • Protective Factors
  • Prospective Studies
  • Proportional Hazards Models
  • Prognosis
  • Principal Component Analysis
  • Prevalence