Abstract 058: Accelerometer-Measured Physical Activity and Sedentary Behavior and Risks of All-Cause and Cardiovascular Disease Mortality Among Postmenopausal Cancer Survivors: The Women’s Health Accelerometry Collaboration

E Eric Hyde (National Cancer Institute, Bethesda, Washington, United States) G Gretchen Bandoli (University of California, San Diego, San Diego, California, United States) J Jingjing Zou N Noe Crespo (San Diego State University, San Diego, California, United States) H Humberto Parada (San Diego State University, San Diego, California, United States) K Kelly Evenson (UNC Department of Epidemiology, Chapel Hill, North Carolina, United States) M Michael LaMonte (University at Buffalo - SUNY, Buffalo, New York, United States) S Steve Nguyen (UC San Diego HWSPH, La Jolla, California, United States) A Annie Green Howard M Marcia Stefanick (Stanford University School of Medicine, Stanford, California, United States) M Meghan Skiba (University of Arizona, Tucson, Arizona, United States) T Tracy Crane (University of Miami, Miami, Florida, United States) I I-Min Lee A Andrea LaCroix (UNIVERSITY OF CALIFORNIA SAN DIEGO, La Jolla, California, United States)

Abstract

Introduction: The relationship between physical activity (PA) and sedentary behavior (SB) with mortality among women after a cancer diagnosis is understudied. We examined accelerometer-measured daily PA and SB in relation to all-cause and cardiovascular disease (CVD) mortality among postmenopausal cancer survivors in the Women’s Health Accelerometry Collaboration (WHAC). Methods: This study included 2,616 WHAC participants who reported a cancer diagnosis prior to baseline. From 2011–2015, WHAC participants wore an ActiGraph GT3X+ on the hip for ≥10 hours per day for ≥4 of 7 days. Daily accelerometer PA measures included light PA, moderate-to-vigorous PA (MVPA), total PA, and steps. SB measures were total sitting time and mean sitting bout duration. Mortality outcomes were ascertained through 2022. Hazard ratios (HRs) and 95% confidence intervals (CIs) were estimated using multivariable stratified Cox regression for each PA and SB measure in association with all-cause and CVD mortality. Models were adjusted for age, race/ethnicity, education, smoking status, alcohol use, general health, postmenopausal hormone use, diabetes, CVD, BMI, physical function, cancer type, and years since cancer diagnosis. Evidence of non-linearity was explored using restricted cubic splines. Results: Overall, the 2,616 cancer survivors (mean [Standard Deviation, SD] age, 74.3 [6.7] years) were followed for a mean of 8.2 years. For all-cause mortality (n=646 cases), 1-SD increments in light PA (78.3 min/day), total PA (96.7 min/day) sitting time (102.3 min/day) and sitting bout duration (4.7 min/bout) were associated with adjusted HRs (95% CIs) of 0.92 (0.84, 1.00), 0.89 (0.80, 0.98), 1.12 (1.02, 1.23), and 1.05 (0.97, 1.13), respectively. Statistically significant nonlinear associations were observed for MVPA and steps ( Figure ). The dose-response curve for steps shows the maximal benefit occurs around 5,000 steps/day before leveling off. The maximal mortality benefit for MVPA was near 50 min/day. For CVD mortality (n=119 cases), 1-SD increments in MVPA (32.9 min/day) and steps (2470 steps/day) were associated with adjusted HRs (95% CIs) of 0.59 (0.41, 0.84) and 0.64 (0.45, 0.93), respectively, while associations for light PA, total PA, and SBs were not significant. Conclusions: Among postmenopausal cancer survivors, higher PA and lower sitting time are associated with reduced risk of all-cause mortality, while more MVPA and steps were associated with reduced CVD mortality risk.

Article Details

Journal Circulation
Volume / Issue Vol. 151, Issue Suppl_1
Published March 11, 2025
ISSN 0009-7322
Publisher Lippincott Williams & Wilkins

Journal Info

Circulation

Lippincott Williams & Wilkins

ISSN: 0009-7322 Health Sciences

Authors (14)

E

Eric Hyde

National Cancer Institute, Bethesda, Washington, United States

G

Gretchen Bandoli

University of California, San Diego, San Diego, California, United States

J

Jingjing Zou

N

Noe Crespo

San Diego State University, San Diego, California, United States

H

Humberto Parada

San Diego State University, San Diego, California, United States

K

Kelly Evenson

UNC Department of Epidemiology, Chapel Hill, North Carolina, United States

M

Michael LaMonte

University at Buffalo - SUNY, Buffalo, New York, United States

S

Steve Nguyen

UC San Diego HWSPH, La Jolla, California, United States

A

Annie Green Howard

M

Marcia Stefanick

Stanford University School of Medicine, Stanford, California, United States

M

Meghan Skiba

University of Arizona, Tucson, Arizona, United States

T

Tracy Crane

University of Miami, Miami, Florida, United States

I

I-Min Lee

A

Andrea LaCroix

UNIVERSITY OF CALIFORNIA SAN DIEGO, La Jolla, California, United States