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Related Concept Videos

Assessment of the Cardiovascular System I: Subjective Data01:23

Assessment of the Cardiovascular System I: Subjective Data

A thorough health history and physical assessment are essential for identifying cardiovascular disease (CVD) symptoms and distinguishing them from other health issues.
Initial Enquiry
Ask the patient about their primary concern and thoroughly explore all reported symptoms.
Medical History
Investigate past illnesses affecting the cardiovascular system, such as angina, anemia, rheumatic fever, congenital heart disease, stroke, thrombophlebitis, dysrhythmias, varicosities
Inquire about symptoms...

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Related Experiment Video

Updated: May 10, 2026

Using Continuous Data Tracking Technology to Study Exercise Adherence in Pulmonary Rehabilitation
09:42

Using Continuous Data Tracking Technology to Study Exercise Adherence in Pulmonary Rehabilitation

Published on: November 8, 2013

Self-reported versus objectively assessed exercise adherence.

Hon K Yuen1, Ed Wang, Katy Holthaus

  • 1Department of Occupational Therapy, School of Health Professions, University of Alabama at Birmingham, 1530 Third Avenue South, Birmingham, AL 35294, USA. yuen@uab.edu

The American Journal of Occupational Therapy : Official Publication of the American Occupational Therapy Association
|June 25, 2013
PubMed
Summary
This summary is machine-generated.

Self-reported exercise logs show fair agreement with Wii Fit data for women with systemic lupus erythematosus (SLE). However, logs tend to overestimate exercise duration, requiring caution when assessing adherence.

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Visualization of Intensity Levels to Reduce the Gap Between Self-Reported and Directly Measured Physical Activity
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Published on: March 7, 2019

Related Experiment Videos

Last Updated: May 10, 2026

Using Continuous Data Tracking Technology to Study Exercise Adherence in Pulmonary Rehabilitation
09:42

Using Continuous Data Tracking Technology to Study Exercise Adherence in Pulmonary Rehabilitation

Published on: November 8, 2013

Visualization of Intensity Levels to Reduce the Gap Between Self-Reported and Directly Measured Physical Activity
05:59

Visualization of Intensity Levels to Reduce the Gap Between Self-Reported and Directly Measured Physical Activity

Published on: March 7, 2019

Area of Science:

  • Exercise adherence research
  • Systemic lupus erythematosus (SLE) management
  • Digital health interventions

Background:

  • Accurate assessment of exercise adherence is crucial for managing chronic conditions like SLE.
  • Home-based exercise programs using exergaming technology offer a novel approach for SLE patients.
  • Understanding the reliability of self-reported data against objective measures is essential for clinical practice.

Purpose of the Study:

  • To compare self-reported exercise adherence data with objectively measured data from a Wii Fit™ system.
  • To evaluate the agreement between exercise logs and Wii Fit™ console data in women with SLE.
  • To assess the reliability of using exercise logs as a measure of exercise behavior in this population.

Main Methods:

  • Eleven women with SLE participated in a 10-week home-based Wii Fit™ program.
  • Participants maintained weekly exercise logs detailing date and duration of exercise sessions.
  • Exercise duration data from logs were compared with data automatically recorded by the Wii console.

Main Results:

  • The mean exercise duration reported in logs (33.3 min) was higher than that recorded by the Wii (29.5 min).
  • A composite intraclass correlation of 0.4 for exercise duration indicated a fair agreement between logs and the Wii Fit™.
  • Significant between-subjects variability was observed, as indicated by the 95% limits of agreement.

Conclusions:

  • Exercise logs demonstrate marginally acceptable agreement with Wii Fit™ estimations of exercise duration at a group level.
  • Caution is advised when relying solely on exercise logs to measure individual exercise behavior due to a tendency to overreport.
  • Objective measures, like exergaming consoles, may provide more accurate insights into exercise adherence in SLE patients.