Guangxing Wang

Accelerometer‐Derived Daily Life Movement Classified by Machine Learning and Incidence of Cardiovascular Disease in Older Women: The OPACH Study

L. Natarajan, M. LaMonte, C. Di, 2022, Journal of the American Heart Association.

Cohort profile: the Women’s Health Accelerometry Collaboration

A. LaCroix, E. Shiroma, K. Evenson, 2021, BMJ Open.

Calibration of an Accelerometer Activity Index among Older Women and Its Association with Cardiometabolic Risk Factors.

K. Evenson, M. LaMonte, A. Howard, 2022, Journal for the measurement of physical behaviour.

Association between dietary patterns and depressive symptoms among middle-aged adults in China in 2016–2017

Yuan Zhao, Cui-Jiang Wang, Guangxing Wang, 2018, Psychiatry Research.

Associations of Daily Steps and Step Intensity With Incident Diabetes in a Prospective Cohort Study of Older Women: The OPACH Study

D. Dunstan, K. Evenson, M. LaMonte, 2022 .

Feasibility of a behavioral intervention using mobile health applications to reduce cardiovascular risk factors in cancer survivors: a pilot randomized controlled trial

J. Schenk, M. Neuhouser, Stephanie J. Lee, 2020, Journal of Cancer Survivorship.

Robust Functional Principal Component Analysis via Functional Pairwise Spatial Signs

Guangxing Wang, Fang Han, Chongzhi Di, 2021, 2101.06415.

Associations of Daily Steps and Step Intensity With Incident Diabetes in a Prospective Cohort Study of Older Women: The OPACH Study.

D. Dunstan, K. Evenson, M. LaMonte, 2022, Diabetes care.