Synopsis of Social media discussions
The discussions highlight the significance of creating wrist-worn accelerometer cut-points, with posts referencing the methodology and potential benefits, using words like 'new' and 'development' to convey intrigue. However, the tone remains relatively neutral and academic, indicating general interest but limited emotional engagement or urgency.
Agreement
Moderate agreementMost discussions acknowledge the value of developing wrist-based activity measurement methods, indicating moderate support.
Interest
Moderate level of interestParticipants show curiosity about the new cut-points and their applications, reflected in terms like 'new' and 'development.'
Engagement
Moderate level of engagementComments mention key aspects such as the methodology and implications, demonstrating some depth of discussion.
Impact
Neutral impactThe discussions suggest the research could influence future activity tracking, but do not overly emphasize immediate transformative effects.
Social Mentions
YouTube
2 Videos
5 Posts
News
2 Articles
Metrics
Video Views
156
Total Likes
18
Extended Reach
51,395
Social Features
9
Timeline: Posts about article
Top Social Media Posts
Posts referencing the article
Physical Activity Levels in Community-Dwelling Older Adults
This video discusses the importance of physical activity in aging. It presents scientific research on activity levels in older adults and highlights how daily movement supports health and well-being in later life.
Developing Wrist-Worn Accelerometer Cut-Points for Activity Levels in Adults
This study developed specific count-based cutpoints for wrist-worn ActiGraph accelerometers to categorize activity intensity levels in adults based on laboratory and free-living data, with the goal of improving ease of use and accuracy.
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RT @JSportsSci: Development of cut-points for determining activity intensity from a wrist-worn ActiGraph accelerometer in free-living adult…
view full postSeptember 10, 2020
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Alex Montoye
@AlexMontoye (Twitter)RT @KimberlyClev: New wrist-based count cut-points for the @actigraph in @JSportsSci with @AlexMontoye and @kap_msu https://t.co/93CvpiDL6L…
view full postSeptember 10, 2020
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Ametris (formerly ActiGraph)
@actigraph (Twitter)RT @KimberlyClev: New wrist-based count cut-points for the @actigraph in @JSportsSci with @AlexMontoye and @kap_msu https://t.co/93CvpiDL6L…
view full postJuly 21, 2020
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Kimberly Clevenger, PhD, MPH
@KimberlyClev (Twitter)New wrist-based count cut-points for the @actigraph in @JSportsSci with @AlexMontoye and @kap_msu https://t.co/93CvpiDL6L https://t.co/ClA46mku3Q
view full postJuly 18, 2020
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Journal of Sports Sciences
@JSportsSci (Twitter)Development of cut-points for determining activity intensity from a wrist-worn ActiGraph accelerometer in free-living adults #JSSAcceptedToday via @alexmontoye https://t.co/ZhNrL8TfZp
view full postJune 29, 2020
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Abstract Synopsis
- This study developed specific count-based cutpoints for wrist-worn ActiGraph accelerometers to categorize physical activity intensity levels (sedentary, light, moderate-to-vigorous) in adults based on laboratory and freeliving data, with the goal of improving ease of use and accuracy.
- The identified cutpoints achieved an overall accuracy of about 70.8% for assessing activity in real-life settings, which is slightly lower than the accuracy of hip-worn accelerometers and other methods but benefits from higher user compliance and simplicity.
- Despite slightly lower accuracy compared to other methods, wrist accelerometers remain practical for large studies due to their high wearability and user-friendliness, making these cutpoints valuable for assessing real-world physical activity until more precise methods are developed.]
Alex Montoye
@AlexMontoye (Twitter)