Prospective Associations of Accelerometer‐Measured Machine‐Learned Sedentary Behavior With Death Among Older Women: The OPACH Study

Author:

Nguyen Steve1ORCID,Bellettiere John1ORCID,Anuskiewicz Blake1ORCID,Di Chongzhi2ORCID,Carlson Jordan3ORCID,Natarajan Loki1ORCID,LaMonte Michael J.4ORCID,LaCroix Andrea Z.1ORCID

Affiliation:

1. Division of Epidemiology Herbert Wertheim School of Public Health, University of California San Diego La Jolla CA USA

2. Division of Public Health Sciences Fred Hutchinson Cancer Center Seattle WA USA

3. Center for Children’s Healthy Lifestyles and Nutrition, Children’s Mercy Kansas City Kansas City MO USA

4. Department of Epidemiology and Environmental Health, School of Public Health and Health Professions University at Buffalo – SUNY Buffalo NY USA

Abstract

Background Sedentary behavior is a recognized mortality risk factor. The novel and validated convolutional neural network hip accelerometer posture algorithm highly accurately classifies sitting and postural changes compared with accelerometer count cut points. We examined the prospective associations of convolutional neural network hip accelerometer posture–classified total sitting time and mean sitting bout duration with all‐cause and cardiovascular disease (CVD) death. Methods and Results Women (n=5856; mean±SD age, 79±7 years; 33% Black women, 17% Hispanic or Latina women, 50% White women) in the Women's Health Initiative Objective Physical Activity and Cardiovascular Health (OPACH) Study wore the ActiGraph GT3X+ for ~7 days from May 2012 to April 2014 and were followed through February 19, 2022 for all‐cause and CVD death. The convolutional neural network hip accelerometer posture algorithm classified total sitting time and mean sitting bout duration from GT3X+ output. Over follow‐up (median, 8.4 years; range, 0.1–9.9), there were 1733 deaths (632 from CVD). Adjusted Cox regression hazard ratios (HRs) comparing women in the highest total sitting time quartile (>696 min/d) to those in the lowest (<556.0 min/d) were 1.57 (95% CI; 1.35–1.83; P ‐trend<0.001) for all‐cause death and 1.78 (95% CI; 1.36–2.31; P ‐trend<0.001) for CVD death. HRs comparing women in the longest mean sitting bout duration quartile (>15 minutes) to the shortest (<9.3 minutes) were 1.43 (95% CI; 1.23–1.66; P ‐trend<0.001) for all‐cause death and 1.52 (95% CI; 1.18–1.96; P ‐trend<0.001) for CVD death. Apparent nonlinear associations for total sitting time suggested higher all‐cause death ( P nonlinear=0.009) and CVD death ( P nonlinear=0.008) risk after ~660 to 700 min/d. Conclusions Higher total sitting time and longer mean sitting bout duration are associated with higher all‐cause and CVD mortality risk among older women. These data support interventions aimed at reducing both total sitting time and interrupting prolonged sitting.

Publisher

Ovid Technologies (Wolters Kluwer Health)

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. JAHA Go Red for Women Spotlight on Women and Cardiovascular Disease and Stroke;Journal of the American Heart Association;2024-03-05

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