Jing-chuan Wu Data-verified
Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.
Postdoctoral Research Scholar
postdoc
Research Areas
Links
Biography and Research Information
OverviewAI-generated summary
Jing-chuan Wu's research integrates exercise science, behavioral health, and digital technology to investigate physical activity and healthy aging. His work examines how engagement with digital tools, such as wearable devices and mobile applications, influences behavior change, self-monitoring, and adherence to physical activity interventions. Dr. Wu employs methodologies including ecological momentary assessment (EMA), time series analysis, and systematic reviews to study engagement patterns and optimize feedback strategies. He also investigates the impact of cognitive and psychological factors on intervention outcomes.
His doctoral work at Pennsylvania State University resulted in peer-reviewed publications in fields such as Health Psychology and Digital Health. These publications have addressed topics including adherence to wearable devices, the effects of feedback prompts on physical activity, and engagement patterns in digital health interventions. Dr. Wu's broader research interests encompass healthy aging, the promotion of physical activity, and the equitable implementation of health technologies for underserved populations. He is currently a postdoctoral scholar at the University of Arkansas in Fayetteville.
Metrics
- h-index: 3
- Publications: 20
- Citations: 22
Selected Publications
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Physical Activity, Wearable Devices, and Intellectual and Developmental Disabilities (PsycInfo). (2025)
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Physical Activity, Wearable Devices, and Intellectual and Developmental Disabilities (PubMed). (2025)
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Physical Activity, Wearable Devices, and Intellectual and Developmental Disabilities (SPORTDiscus). (2025)
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Physical Activity, Wearable Devices, and Intellectual and Developmental Disabilities (CINAHL). (2025)
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Physical Activity, Wearable Devices, and Intellectual and Developmental Disabilities (Web of Science). (2025)
Collaboration Network
Top Collaborators
- Dose–response relations between the frequency of two types of momentary feedback prompts and daily physical activity.
- Wearable device adherence among insufficiently-active young adults is independent of identity and motivation for physical activity
- Assessing the impact of message relevance and frequency on physical activity change: A secondary data analysis from the random AIM trial
- Small Data Approaches to Link Faster Time Scale Engagement Dynamics with Slower Time Scale Outcomes in Biobehavioral Interventions
- IMPACT OF WALKING GROUP INTENSITY & TIMING ON EXERCISE ATTITUDES IN OLDER ADULTS: MIXED-EFFECTS ANALYSIS
Showing 5 of 13 shared publications
- Physical Activity, Wearable Devices, and Intellectual and Developmental Disabilities (Web of Science).
- Physical Activity, Wearable Devices, and Intellectual and Developmental Disabilities (CINAHL).
- Physical Activity, Wearable Devices, and Intellectual and Developmental Disabilities (SPORTDiscus).
- Physical Activity, Wearable Devices, and Intellectual and Developmental Disabilities (PubMed).
- Physical Activity, Wearable Devices, and Intellectual and Developmental Disabilities (PsycInfo).
- Physical Activity, Wearable Devices, and Intellectual and Developmental Disabilities (Web of Science).
- Physical Activity, Wearable Devices, and Intellectual and Developmental Disabilities (CINAHL).
- Physical Activity, Wearable Devices, and Intellectual and Developmental Disabilities (SPORTDiscus).
- Physical Activity, Wearable Devices, and Intellectual and Developmental Disabilities (PubMed).
- Physical Activity, Wearable Devices, and Intellectual and Developmental Disabilities (PsycInfo).
- Wearable-Measured Walking Step Counts and Their Effect on Cognition (PubMed).
- Wearable-Measured Walking Step Counts and Their Effect on Cognition (PsycINFO).
- Wearable-Measured Walking Step Counts and Their Effect on Cognition (SPORTDiscus).
- Wearable-Measured Walking Step Counts and Their Effect on Cognition (CINAHL).
- Dose–response relations between the frequency of two types of momentary feedback prompts and daily physical activity.
- Wearable device adherence among insufficiently-active young adults is independent of identity and motivation for physical activity
- Assessing the impact of message relevance and frequency on physical activity change: A secondary data analysis from the random AIM trial
- Dose–response relations between the frequency of two types of momentary feedback prompts and daily physical activity.
- Wearable device adherence among insufficiently-active young adults is independent of identity and motivation for physical activity
- Assessing the impact of message relevance and frequency on physical activity change: A secondary data analysis from the random AIM trial
- Dose–response relations between the frequency of two types of momentary feedback prompts and daily physical activity.
- Wearable device adherence among insufficiently-active young adults is independent of identity and motivation for physical activity
- WELL-BEING IN MIDDLE-AGED ADULTS: THE MEDIATING ROLE OF SOCIAL MEDIA USE
- WELL-BEING IN MIDDLE-AGED ADULTS: THE MEDIATING ROLE OF SOCIAL MEDIA USE
- WELL-BEING IN MIDDLE-AGED ADULTS: THE MEDIATING ROLE OF SOCIAL MEDIA USE
- Small Data Approaches to Link Faster Time Scale Engagement Dynamics with Slower Time Scale Outcomes in Biobehavioral Interventions
- Small Data Approaches to Link Faster Time Scale Engagement Dynamics with Slower Time Scale Outcomes in Biobehavioral Interventions
- Small Data Approaches to Link Faster Time Scale Engagement Dynamics with Slower Time Scale Outcomes in Biobehavioral Interventions
- IMPACT OF WALKING GROUP INTENSITY & TIMING ON EXERCISE ATTITUDES IN OLDER ADULTS: MIXED-EFFECTS ANALYSIS
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