Robert T Mankowski1, Mylene Aubertin-Leheudre2, Daniel P Beavers3, Anda Botoseneanu4, Thomas W Buford5, Timothy Church6, Nancy W Glynn7, Abby C King8, Christine Liu9, Todd M Manini5, Anthony P Marsh10, Mary McDermott11, Joe R Nocera12, Marco Pahor5, Elsa S Strotmeyer13, Stephen D Anton14. 1. 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. 2. Department of Aging and Geriatric Research, University of Florida, Gainesville, FL 32611, USA; Department of Kinanthropology, University of Quebec, Montreal, Quebec H2X1Y4, Canada. 3. Department of Biostatistical Sciences, Wake Forest School of Medicine, Winston-Salem, NC 27157, USA. 4. Department of Internal Medicine, Yale School of Medicine, New Haven, CT 06510, USA. 5. Department of Aging and Geriatric Research, University of Florida, Gainesville, FL 32611, USA. 6. Preventive Medicine Laboratory, Pennington Biomedical Research Center, Baton Rouge, LA 70808, USA. 7. Department of Epidemiology, University of Pittsburgh, Pittsburgh, PA 15261, USA. 8. Stanford Prevention Research Center, Department of Medicine, Health Research and Policy, Stanford University School of Medicine, Stanford, CA 94305, USA. 9. Department of Medicine Geriatrics, Boston University School of Medicine, Boston, MA 02118, USA. 10. Department of Health and Exercise Science, Wake Forest University, Winston-Salem, NC 27109, USA. 11. Department of Internal Medicine, Northwestern Medical Faculty Foundation, Chicago, IL 60611, USA. 12. Department of Neurology, Emory University School of Medicine, Atlanta, GA 30322, USA. 13. Department of Epidemiology, Graduate School of Public Health, University of Pittsburgh, PA 15213, USA. 14. Department of Aging and Geriatric Research, University of Florida, Gainesville, FL 32611, USA. Electronic address: santon@ufl.edu.
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.
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.
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