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The journal of nutrition, health & aging

, Volume 21, Issue 3, pp 271–275 | Cite as

Reversible states of physical and/or cognitive dysfunction: A 9-year longitudinal study

  • Clifford Qualls
  • D. L. Waters
  • B. Vellas
  • D. T. Villareal
  • P. J. Garry
  • A. Gallini
  • S. Andrieu
Article

Abstract

Objectives

To determine 1) age-adjusted transition probabilities to worsening physical/cognitive function states, reversal to normal cognition/physical function, or maintenance of normal state; 2) whether these transitions are modulated by sex, BMI, education, hypertension (HTN), health status, or APOE4; 3) whether worsening gait speed preceded cognition change, or vice versa.

Design

Analysis of 9-year prospective cohort data from the New Mexico Aging Process Study. Setting: Healthy independent-living adults. Participants: 60+ years of age (n= 598).

Measurements

Gait speed, cognitive function (3MSE score), APOE4, HTN, BMI, education, health status.

Results

Over 9 years, 2129 one-year transitions were observed. 32.6% stayed in the same state, while gait speed and cognitive function (3MSE scores) improved for 38% and 43% of participants per year, respectively. Transitions to improved function decreased with age (P<0.001), APOE4 status (P=0.02), BMI (P=0.009), and health status (P=0.009). Transitions to worse function were significantly increased for the same factors (all P<0.05). Times to lower gait speed and cognitive function did not precede each other (P=0.91).

Conclusions

Transitions in gait speed and cognition were mutable with substantial likelihood of transition to improvement in physical and cognitive function even in oldest-old, which may have clinical implications for treatment interventions.

Key words

Cognitive function gait speed multi-state modelling reversible transitions 

Supplementary material

12603_2017_878_MOESM1_ESM.docx (1.4 mb)
Supplementary material, approximately 1.36 MB.

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Copyright information

© Serdi and Springer-Verlag France 2017

Authors and Affiliations

  • Clifford Qualls
    • 1
    • 2
  • D. L. Waters
    • 3
  • B. Vellas
    • 4
  • D. T. Villareal
    • 5
    • 6
  • P. J. Garry
    • 7
  • A. Gallini
    • 8
  • S. Andrieu
    • 9
  1. 1.Department of Mathematics & Statistics and School of MedicineUniversity of New MexicoAlbuquerqueUSA
  2. 2.Biomedical Research Institute of New MexicoAlbuquerqueUSA
  3. 3.University of Otago, Department of Medicine and School of PhysiotherapyDunedinNew Zealand
  4. 4.Department of Internal and Geriatrics Medicine, Gerontopole, CHU de Toulouse, UMR 1027 INSERMUniversity Toulouse IIIToulouseFrance
  5. 5.Center for Translational Research in Inflammatory Diseases (CTRID)Michael E. DeBakey VA Medical CenterHoustonUSA
  6. 6.Baylor College of MedicineHoustonUSA
  7. 7.University of New Mexico School of Medicine, Department of PathologyAlbuquerqueUSA
  8. 8.Department of EpidemiologyCHU de Toulouse, UMR 1027 INSERMToulouseFrance
  9. 9.CHU de Toulouse, UMR 1027 INSERMUniversity Toulouse IIIToulouseFrance

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