TY - JOUR
T1 - Association of Accelerometer-Measured Physical Activity and Sedentary Time with Epigenetic Markers of Aging
AU - Spartano, Nicole L.
AU - Wang, Ruiqi
AU - Yang, Qiong
AU - Chernofsky, Ariel
AU - Murabito, Joanne M.
AU - Vasan, Ramachandran S.
AU - Levy, Daniel
AU - Beiser, Alexa S.
AU - Seshadri, Sudha
N1 - Funding Information:
This investigation was supported by the Framingham Heart Study’s National Heart, Lung and Blood Institute contracts (N01-HC25195, HHSN268201500001I, 75N92019D00031) with additional support from the following National Institutes of Health grants (R01-AG047645, R01-HL131029, R01-HL136266, R01-AG054076, RF1-AG059421, R01-NS017950, U01-AG052409, P30-AG066546), the Alzheimer’s Association (2018-AARG-591645), and American Heart Association Awards (15GPSGC24800006 and 16MCPRP30310001). Dr. Vasan is supported in part by the Evans Medical foundation and the Jay and Louis Coffman Endowment, Department of Medicine, Boston University School of Medicine. Measurement of DNA methylation used in this study was funded by the Division of Intramural Research, National Heart, Lung, and Blood Institute (Dr. Levy, PI) and an NIH Director’s Award (Dr. Levy, PI).
Funding Information:
Dr. Spartano received funding from Novo Nordisk for an investigator-initiated research grant unrelated to the current paper. The results of the study are presented clearly, honestly, and without fabrication, falsification, or inappropriate data manipulation. The results of the present study do not constitute endorsement by the American College of Sports Medicine.
Publisher Copyright:
© Lippincott Williams & Wilkins.
PY - 2023/2/1
Y1 - 2023/2/1
N2 - Introduction/Purpose Physical activity may influence chronic disease risk, in part, through epigenetic mechanisms. Previous studies have demonstrated that an acute bout of physical activity can influence DNA methylation status. Few studies have explored the relationship between habitual, accelerometer-measured physical activity or sedentary time with epigenetic markers of aging. Methods We used linear regression to examine cross-sectional associations of accelerometer-measured physical activity and sedentary time with extrinsic and intrinsic epigenetic age acceleration (EEAA and IEAA) models and GrimAge measured from blood samples from Framingham Heart Study participants with accelerometry and DNA methylation data (n = 2435; mean age, 54.9 ± 14.3; 46.0% men). Residuals of Hannum-, Horvath-, and GrimAge-predicted epigenetic age were calculated by regressing epigenetic age on chronological age. We took into account blood cell composition for EEAA, IEAA, and AdjGrimAge. Moderate to vigorous physical activity was log-transformed to normalize its distribution. Adjustment models accounted for family structure, age, sex, smoking status, cohort-laboratory indicator, and accelerometer wear time. We additionally explored adjustment for body mass index (BMI). Results Walking 1500 more steps per day or spending 3 fewer hours sedentary was associated with >10 months lower GrimAge biological age (or 1 month lower AdjGrimAge, after adjusting for blood cells, P < 0.05). Every 5 min·d-1 more moderate to vigorous physical activity was associated with 19-79 d of lower GrimAge (4-23 d lower using EEAA or AdjGrimAge, P < 0.01). Adjusting for BMI attenuated these results, but all statistically significant associations with AdjGrimAge remained. Conclusions Greater habitual physical activity and lower sedentary time were associated with lower epigenetic age, which was partially explained by BMI. Further research should explore whether changes in physical activity influence methylation status and whether those modifications influence chronic disease risk.
AB - Introduction/Purpose Physical activity may influence chronic disease risk, in part, through epigenetic mechanisms. Previous studies have demonstrated that an acute bout of physical activity can influence DNA methylation status. Few studies have explored the relationship between habitual, accelerometer-measured physical activity or sedentary time with epigenetic markers of aging. Methods We used linear regression to examine cross-sectional associations of accelerometer-measured physical activity and sedentary time with extrinsic and intrinsic epigenetic age acceleration (EEAA and IEAA) models and GrimAge measured from blood samples from Framingham Heart Study participants with accelerometry and DNA methylation data (n = 2435; mean age, 54.9 ± 14.3; 46.0% men). Residuals of Hannum-, Horvath-, and GrimAge-predicted epigenetic age were calculated by regressing epigenetic age on chronological age. We took into account blood cell composition for EEAA, IEAA, and AdjGrimAge. Moderate to vigorous physical activity was log-transformed to normalize its distribution. Adjustment models accounted for family structure, age, sex, smoking status, cohort-laboratory indicator, and accelerometer wear time. We additionally explored adjustment for body mass index (BMI). Results Walking 1500 more steps per day or spending 3 fewer hours sedentary was associated with >10 months lower GrimAge biological age (or 1 month lower AdjGrimAge, after adjusting for blood cells, P < 0.05). Every 5 min·d-1 more moderate to vigorous physical activity was associated with 19-79 d of lower GrimAge (4-23 d lower using EEAA or AdjGrimAge, P < 0.01). Adjusting for BMI attenuated these results, but all statistically significant associations with AdjGrimAge remained. Conclusions Greater habitual physical activity and lower sedentary time were associated with lower epigenetic age, which was partially explained by BMI. Further research should explore whether changes in physical activity influence methylation status and whether those modifications influence chronic disease risk.
KW - BIOLOGICAL AGE
KW - DNA METHYLATION
KW - EPIDEMIOLOGY
KW - EPIGENETIC CLOCK
KW - EXERCISE
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U2 - 10.1249/MSS.0000000000003041
DO - 10.1249/MSS.0000000000003041
M3 - Article
C2 - 36107108
AN - SCOPUS:85146364220
SN - 0195-9131
VL - 55
SP - 264
EP - 272
JO - Medicine and Science in Sports and Exercise
JF - Medicine and Science in Sports and Exercise
IS - 2
ER -