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Chiyoung Lee

Showing results (21-30 of 65) with videos related to

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The Journal of Cardiovascular Nursing|September 8, 2021
Health Behavior Trajectories in High Cardiovascular Risk Populations: Secondary Analysis of a Clinical TrialChiyoung Lee, Qing Yang, Ruth Q Wolever, et al.
Clinical Nursing Research|June 19, 2025
Exploring the Moderation Effects of Race on the Relationship Among Sex Hormones, Biomarkers, and Psychological Symptoms in Female Older AdultsSe Hee Min, Maxim Topaz, Chiyoung Lee, et al.
Geroscience|January 10, 2023
Understanding changes in mental health symptoms from young-old to old-old adults by sex using multiple-group latent transition analysisSe Hee Min, Maxim Topaz, Chiyoung Lee, et al.
Aging & Mental Health|June 26, 2024
Relationship between hemoglobin and specific cognitive domain among older adults using network analysisSe Hee Min, Rebecca Schnall, Chiyoung Lee, et al.
Brain, Behavior, & Immunity - Health|March 28, 2024
How is inflammation biology truly associated with depression in patients with stable coronary heart disease?: Insights from the heart and Soul studyChiyoung Lee, Mary Whooley, Qing Yang, et al.
Geroscience|August 18, 2023
Examining racial differences in the network structure and properties of specific cognitive domains among older adultsSe Hee Min, Rebecca Schnall, Chiyoung Lee, et al.
International Journal of Environmental Research and Public Health|April 12, 2022
The #StopAsianHate Movement on Twitter: A Qualitative Descriptive StudyJiepin Cao, Chiyoung Lee, Wenyang Sun, et al.
Geroscience|November 4, 2023
A network-based approach to explore comorbidity patterns among community-dwelling older adults living aloneChiyoung Lee, Yeon-Hwan Park, Belong Cho, et al.
Journal of Aging and Health|May 19, 2023
Transitions in Social Networks From Young-Old to Old-Old Stage of Life Using Latent Transition AnalysisSe Hee Min, Chiyoung Lee, Jihye Kim Scroggins, et al.
Plos One|September 5, 2025
DeepGAM: An interpretable deep neural network using generalized additive model for depression diagnosis: Data from the heart and soul studyChiyoung Lee, Yeri Kim, Seoyoung Kim, et al.
Pageof 7

Showing results (21-30 of 65) with videos related to

Sort By:
Pageof 7
The Journal of Cardiovascular Nursing|September 8, 2021
Health Behavior Trajectories in High Cardiovascular Risk Populations: Secondary Analysis of a Clinical TrialChiyoung Lee, Qing Yang, Ruth Q Wolever, et al.
Clinical Nursing Research|June 19, 2025
Exploring the Moderation Effects of Race on the Relationship Among Sex Hormones, Biomarkers, and Psychological Symptoms in Female Older AdultsSe Hee Min, Maxim Topaz, Chiyoung Lee, et al.
Geroscience|January 10, 2023
Understanding changes in mental health symptoms from young-old to old-old adults by sex using multiple-group latent transition analysisSe Hee Min, Maxim Topaz, Chiyoung Lee, et al.
Aging & Mental Health|June 26, 2024
Relationship between hemoglobin and specific cognitive domain among older adults using network analysisSe Hee Min, Rebecca Schnall, Chiyoung Lee, et al.
Brain, Behavior, & Immunity - Health|March 28, 2024
How is inflammation biology truly associated with depression in patients with stable coronary heart disease?: Insights from the heart and Soul studyChiyoung Lee, Mary Whooley, Qing Yang, et al.
Geroscience|August 18, 2023
Examining racial differences in the network structure and properties of specific cognitive domains among older adultsSe Hee Min, Rebecca Schnall, Chiyoung Lee, et al.
International Journal of Environmental Research and Public Health|April 12, 2022
The #StopAsianHate Movement on Twitter: A Qualitative Descriptive StudyJiepin Cao, Chiyoung Lee, Wenyang Sun, et al.
Geroscience|November 4, 2023
A network-based approach to explore comorbidity patterns among community-dwelling older adults living aloneChiyoung Lee, Yeon-Hwan Park, Belong Cho, et al.
Journal of Aging and Health|May 19, 2023
Transitions in Social Networks From Young-Old to Old-Old Stage of Life Using Latent Transition AnalysisSe Hee Min, Chiyoung Lee, Jihye Kim Scroggins, et al.
Plos One|September 5, 2025
DeepGAM: An interpretable deep neural network using generalized additive model for depression diagnosis: Data from the heart and soul studyChiyoung Lee, Yeri Kim, Seoyoung Kim, et al.
Pageof 7