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26130060
10.1016/j.exger.2015.06.018
PMC4600654
Experimental gerontology
Oct. 1, 2015
Robert T Mankowski4, Mylene Aubertin-Leheudre3, Daniel P Beavers5, Anda Botoseneanu10, Thomas W Buford1, Timothy Church13, Nancy W Glynn7, Abby C King14, Christine Liu11, Todd M Manini1, Anthony P Marsh8, Mary McDermott9, Joe R Nocera12, Marco Pahor1, Elsa S Strotmeyer6, Stephen D Anton2, LIFE Research Group
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  • 1
    Department of Aging and Geriatric Research, University of Florida, Gainesville, FL 32611, USA.
  • 2
    Department of Aging and Geriatric Research, University of Florida, Gainesville, FL 32611, USA. Electronic address: santon@ufl.edu.
  • 3
    Department of Aging and Geriatric Research, University of Florida, Gainesville, FL 32611, USA; Department of Kinanthropology, University of Quebec, Montreal, Quebec H2X1Y4, Canada.
  • 4
    Department of Aging and Geriatric Research, University of Florida, Gainesville, FL 32611, USA; Department of Rehabilitation Medicine, Erasmus University Medical Centre, Rotterdam 3000CA, The Netherlands.
  • 5
    Department of Biostatistical Sciences, Wake Forest School of Medicine, Winston-Salem, NC 27157, USA.
  • 6
    Department of Epidemiology, Graduate School of Public Health, University of Pittsburgh, PA 15213, USA.
  • 7
    Department of Epidemiology, University of Pittsburgh, Pittsburgh, PA 15261, USA.
  • 8
    Department of Health and Exercise Science, Wake Forest University, Winston-Salem, NC 27109, USA.
  • 9
    Department of Internal Medicine, Northwestern Medical Faculty Foundation, Chicago, IL 60611, USA.
  • 10
    Department of Internal Medicine, Yale School of Medicine, New Haven, CT 06510, USA.
  • 11
    Department of Medicine Geriatrics, Boston University School of Medicine, Boston, MA 02118, USA.
  • 12
    Department of Neurology, Emory University School of Medicine, Atlanta, GA 30322, USA.
  • 13
    Preventive Medicine Laboratory, Pennington Biomedical Research Center, Baton Rouge, LA 70808, USA.
  • 14
    Stanford Prevention Research Center, Department of Medicine, Health Research and Policy, Stanford University School of Medicine, Stanford, CA 94305, USA.
Accelerometry, Sedentary Behavior, Waist Circumference, Mobility Limitation, Cholesterol, HDL, Metabolic Syndrome, Motor Activity, Male, Geriatric Assessment, Time Factors, Humans, Female, Risk Factors, Aged, Aged, 80 and over
UL1 TR001427, NIH/NCRR UL1TR000064, NIH/NIA P30AG028740, 3U01AG022376, U01AG22376, P30 AG024827, UL1 TR000064, P30 AG028740, U01 AG022376
Mankowski RT, Aubertin-Leheudre M, Beavers DP, Botoseneanu A, Buford TW, Church T, Glynn NW, King AC, Liu C, Manini TM, Marsh AP, McDermott M, Nocera JR, Pahor M, Strotmeyer ES, Anton SD, LIFE Research Group. Sedentary time is associated with the metabolic syndrome in older adults with mobility limitations--The LIFE Study. Experimental gerontology 2015 Oct.

Abstract

BACKGROUND: Epidemiological and objective studies report an association between sedentary time and lower risk of the metabolic syndrome (MetS) and its risk factors in young and middle-age adults. To date, there is a lack of objective data on the association between sedentary time and MetS among older adults. METHODS: The association between objectively measured sedentary time (accelerometry) with MetS and MetS components was examined in a large sample of older adults with mobility limitations (N=1198; mean age=78.7 ± 5.3 years) enrolled in the Lifestyle Interventions and Independence for Elders (LIFE) study. Participants were divided into tertiles according to percentage of daily sedentary time, and the relation between sedentary time with MetS and MetS components was examined after adjusting for age, sex, ethnicity, and BMI. RESULTS: Participants in the highest sedentary time tertile had significantly higher odds of MetS (OR=1.54) (95% CI 1.13 to 2.11) in comparison with participants in the lowest tertile (p=0.03). Participants in the highest sedentary time tertile had larger waist circumference (p=0.0001) and lower HDL-C (p=0.0003) than participants in the lowest sedentary time tertile. CONCLUSIONS: Sedentary time was strongly related to higher odds of MetS. These results, based on objectively measured sedentary time, suggest that sedentary time may represent an important risk factor for the development of MetS in older adults with high likelihood for disability.