Marcia Ory

About

Marcia Ory, PhD, MPH, is a Regents and Distinguished Professor in the School of Public Health at Texas A&M University, with affiliations in the Center for Community Health & Aging and the Department of Environmental & Occupational Health. Her educational background includes a BA in Sociology/Psychology from the University of Texas at Austin, an MA in Sociology/Human Development from Indiana University at Bloomington, a PhD in Family Studies (Sociology)/Human Development from Purdue University, and an MPH in Chronic Disease Epidemiology and Behavioral Sciences from Johns Hopkins Bloomberg School of Public Health. Her research interests encompass aging and health promotion, Alzheimer’s disease and related disorders, chronic disease management, evidence-based prevention, health technology and patient empowerment, implementation science, injury prevention and control, and opioid use disorder prevention, treatment, and recovery. Dr. Ory has received numerous awards and honors, including election as a fellow in several professional societies, distinguished alumna and scholar recognitions, and lifetime achievement awards. She has been recognized as one of the world's top scientists in social sciences and humanities by Research.com and ranked among the top 2% scientists by Stanford University in 2021, 2022, and 2023. Her contributions focus on advancing public health through research, mentorship, and leadership in aging and chronic disease prevention.

Research topics

• Medicine
• Sociology
• Computer Science
• Environmental health
• Nursing
• Internal medicine
• Computer Security
• Information Retrieval
• Demography
• Psychiatry

Selected publications

• New insights into the genetic etiology of Alzheimer’s disease and related dementias

  Nature Genetics · 2022 · 2403 citations

  Characterization of the genetic landscape of Alzheimer's disease (AD) and related dementias (ADD) provides a unique opportunity for a better understanding of the associated pathophysiological processes. We performed a two-stage genome-wide association study totaling 111,326 clinically diagnosed/'proxy' AD cases and 677,663 controls. We found 75 risk loci, of which 42 were new at the time of analysis. Pathway enrichment analyses confirmed the involvement of amyloid/tau pathways and highlighted mi…

  DOI

• Understanding and applying the RE-AIM framework: Clarifications and resources

  Journal of Clinical and Translational Science · 2021 · 494 citations

  INTRODUCTION: Understanding, categorizing, and using implementation science theories, models, and frameworks is a complex undertaking. The issues involved are even more challenging given the large number of frameworks and that some of them evolve significantly over time. As a consequence, researchers and practitioners may be unintentionally mischaracterizing frameworks or basing actions and conclusions on outdated versions of a framework. METHODS: This paper addresses how the RE-AIM (Reach, Effe…

  DOI

• Opioid Use and the Risk of Falls, Fall Injuries and Fractures among Older Adults: A Systematic Review and Meta-Analysis

  The Journals of Gerontology Series A · 2020 · 118 citations

  Senior authorCorresponding

  BACKGROUND: There is increasing concern about opioid use as a pain treatment option among older adults. Existing literature implies an association between opioid use and fracture, increasing the risk of death and disabilities; yet, this relationship with other fall-related outcomes has not been fully explored. We performed a meta-analysis to evaluate the associations between opioid use and adverse health outcomes of falls, fall injuries, and fractures among older adults. METHODS: A systematic li…

  DOI

• COVID-19: Short term prediction model using daily incidence data

  PLoS ONE · 2021 · 54 citations

  Senior authorCorresponding

  BACKGROUND: Prediction of the dynamics of new SARS-CoV-2 infections during the current COVID-19 pandemic is critical for public health planning of efficient health care allocation and monitoring the effects of policy interventions. We describe a new approach that forecasts the number of incident cases in the near future given past occurrences using only a small number of assumptions. METHODS: Our approach to forecasting future COVID-19 cases involves 1) modeling the observed incidence cases usin…

  PublisherDOI

• Nursing Home Design and COVID-19: Implications for Guidelines and Regulation

  Journal of the American Medical Directors Association · 2021 · 35 citations

  Senior authorCorresponding
  DOI

Recent grants

• NIH Grant R01HD047143

  NIH · $2.5M · 2011

• Fighting Obesity by Reinventing Public Transportation: A Natural Experiment

  NIH · $2.2M · 2018–2025

• Fighting Obesity by Reinventing Public Transportation: A Natural Experiment

  NIH · $583k · 2018–2023

Frequent coauthors

• Matthew Lee Smith

  Texas A&M University

  376 shared

• Russell E. Glasgow

  University of Colorado Anschutz Medical Campus

  178 shared

• Alex H. Krist

  169 shared

• Suzanne Heurtin‐Roberts

  168 shared

• Siobhan M. Phillips

  168 shared

• S. N. Sheinfeld-Gorin

  UCLA Health

  164 shared

• SangNam Ahn

  Texas A&M Health Science Center

  141 shared

• Samuel D. Towne

  University of Central Florida

  134 shared

Awards & honors

• Elected Member/Fellow: Academy for Behavioral Medicine Resea…
• Elected Member/Fellow: American Academy of Health Behavior
• Elected Member/Fellow: Gerontological Society of America
• Elected Member/Fellow: Society for Behavioral Medicine
• Distinguished Alumna, Distinguished Scholar, Purdue Universi…

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