Author: Shadyab AH1, LaMonte MJ2, Kooperberg C3, Reiner AP4, Carty CL5, Manini TM6, Hou L7, Di C3, LaCroix AZ1
1Division of Epidemiology, Department of Family Medicine and Public Health, University of California, San Diego School of Medicine, La Jolla.
2Department of Epidemiology and Environmental Health, University at Buffalo, New York.
3Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, Washington.
4Department of Epidemiology, University of Washington, Seattle.
5Division of Biostatistics and Study Methodology, Center for Translational Science, George Washington University and Children's National Medical Center, District of Columbia.
6Department of Aging and Geriatric Research, Institute on Aging, University of Florida, Gainesville.
7Department of Preventive Medicine, Feinberg School of Medicine, Northwestern University, Chicago, Illinois.
Conference/Journal: J Gerontol A Biol Sci Med Sci.
Date published: 2017 Mar 9
Other: Special Notes: doi: 10.1093/gerona/glx037. [Epub ahead of print] , Word Count: 249
Background : Previous studies on physical activity and telomere length have relied largely upon self-reported physical activity data, and few studies have examined older adults. The association of objectively measured physical activity with leukocyte telomere length (LTL) is currently unknown.
Methods : In this study, we examined cross-sectional associations between accelerometer-measured total, light, and moderate-to-vigorous physical activity (MVPA) and LTL, measured using Southern blot. The sample included 1,405 older (64-95 years old) white and African American women from the Women's Health Initiative. Multiple linear regression models adjusting for potential confounders were used to determine the association between accelerometer-measured physical activity and LTL.
Results : Overall, the mean (standard deviation) of total, light, and moderate-to-vigorous activity was 5.5 (1.6), 4.7 (1.3), and 0.8 (0.5) h/d, respectively. Adjusting for accelerometer wear time, age, race/ethnicity, education, marital status, smoking, alcohol, body mass index, a history of chronic diseases, and hormone therapy use, LTL was 80 (95% confidence interval: 9, 150) base pairs longer among women with ≥2.5 compared with <2.5 h/wk of MVPA. Light activity was not significantly associated with LTL. For total activity, the most physically active women had significantly longer LTL than the least active women after adjustment for demographic and lifestyle characteristics; however, findings were not significant after further adjustment for health-related factors.
Conclusions : Older women meeting current recommendations of ≥2.5 h/wk of MVPA, as assessed by accelerometer, had longer LTL. Additional studies using accelerometers in large, diverse cohorts of older women are needed to confirm and extend these findings.
KEYWORDS: Biomarker; Longevity; MVPA; Minority aging; Postmenopausal
PMID: 28329327 DOI: 10.1093/gerona/glx037