Mikael Anne Greenwood-Hickman, MPH

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“My research uses a combination of epidemiologic and qualitative methods to understand older adult health and lived experience, with the goal of informing new interventions to help prevent cognitive decline and support healthy, active lifestyles as people age.”

Mikael Anne Greenwood-Hickman, MPH

Collaborative Scientist, Kaiser Permanente Washington Health Research Institute

Biography

Mikael Anne Greenwood-Hickman, MPH, brings a mixed methods approach to geriatrics and aging research. Through the application of both quantitative and qualitative methods, her work aims to better understand the lives and behavior of older adults in order to build interventions and tools to preserve cognitive and physical function and promote wellbeing.

Since completing her Master of Public Health in epidemiology at the University of Washington in 2014, Ms. Greenwood-Hickman has served in several roles within public health research teams, including as a data manager and programmer, and as a project coordinator. She joined KPWHRI as a project manager for the Statistical Coordinating Center of the Breast Cancer Surveillance Consortium in 2017. In 2021, Ms. Greenwood-Hickman formally joined the KPWHRI faculty as a collaborative scientist, bringing her operational knowledge and management skills to bear on her scientific portfolio.

Ms. Greenwood-Hickman’s research interests and work are primarily focused on understanding physical activity and sedentary behavior patterns among older adults and developing and testing interventions to promote physical activity and reduce sedentary time. She has been an active collaborator on the Adult Changes in Thought Study’s Activity Monitoring sub-study since 2018. As part of this work, she is actively engaged in several ongoing analyses linking data gathered by accelerometers (activity trackers that electronically detect up-and-down, side-to-side, and back-and-forth motion) to cognitive and physical function outcomes in later life. She is also an active collaborator in the ongoing Health Aging Resources to Thrive (HART) trial, which is testing a sedentary behavior intervention for older adults with obesity.

Outside her work in physical activity, Ms. Greenwood-Hickman is also collaborating on a pragmatic trial testing a low-cost detection tool for undiagnosed dementia — the EHR Risk of Alzheimer's and Dementia Assessment Rule (eRADAR) algorithm — in clinical practice. She will be an integral part of the study’s planned qualitative evaluation of the eRADAR intervention approach and will strive to understand the intervention’s impact on patients, their care partners, and their clinical providers.

Areas of research focus

Recent Publications

Dublin S, Greenwood-Hickman MA, Karliner L, Hsu C, Coley RY, Colemon L, Carrasco A, King D, Grace A, Lee SJ, Walsh JME, Barrett T, Broussard J, Singh U, Idu A, Yaffe K, Boustani M, Barnes DE. The electronic health record Risk of Alzheimer's and Dementia Assessment Rule (eRADAR) Brain Health Trial: Protocol for an embedded, pragmatic clinical trial of a low-cost dementia detection algorithm.  Contemp Clin Trials. 2023;135:107356. doi: 10.1016/j.cct.2023.107356. Epub 2023 Oct 17.  PubMed

Hyde ET, Tuz-Zahra F, Moore CC, Natarajan L, Nguyen S, Greenwood-Hickman MA, Walker RL, Rosenberg DE, Bellettiere J. Agreement of step-based metrics from ActiGraph and activPAL accelerometers worn concurrently among older adults. J Meas Phys Behav. 2022 Dec;5(4):242-251. doi: 10.1123/jmpb.2022-0001. Epub 2022 Oct 11. PubMed

Hibbing PR, Carlson JA, Steel C, Greenwood-Hickman MA, Nakandala S, Jankowska MM, Bellettiere J, Zou J, LaCroix AZ, Kumar A, Katzmarzyk PT, Natarajan L. Low movement, deep-learned sitting patterns, and sedentary behavior in the International Study of Childhood Obesity, Lifestyle and the Environment (ISCOLE). Int J Obes (Lond). 2023 Aug 14. doi: 10.1038/s41366-023-01364-8. [Epub ahead of print]. PubMed

Wu Y, Rosenberg DE, Greenwood-Hickman MA, McCurry SM, Proust-Lima C, Nelson JC, Crane PK, LaCroix AZ, Larson EB, Shaw PA. Analysis of the 24-h activity cycle: An illustration examining the association with cognitive function in the Adult Changes in Thought study.  Front Psychol. 2023 Mar 27;14:1083344. doi: 10.3389/fpsyg.2023.1083344. eCollection 2023. PubMed

Bellettiere J, Nakandala S, Tuz-Zahra F, Winkler E, Hibbing PR, Healy GN, Dunstan D, Owen N, Greenwood-Hickman MA, Rosenberg DE, Zou J, Carlson JA, Di C, Dillon L, Jankowska MM, LaCroix AZ, Ridgers ND, Kumar A, Natarajan L. CHAP-Adult: a reliable and valid algorithm to classify sitting and measure sitting patterns using data from hip-worn accelerometers in adults aged 35+. J Meas Phys Behav. 2022 Sept 21:1-9. doi: 10.1123/jmpb.2021-0062.

 

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