Related Experiment Video
Updated: Mar 27, 2026

Visualization of Intensity Levels to Reduce the Gap Between Self-Reported and Directly Measured Physical Activity
Published on: March 7, 2019
Correlates of Agreement between Accelerometry and Self-reported Physical Activity
Ester Cerin1, Kelli L Cain, Adewale L Oyeyemi
11Institute for Health and Ageing, Australian Catholic University, Melbourne, AUSTRALIA; 2School of Public Health, The University of Hong Kong, Hong Kong, CHINA; 3Department of Family Medicine and Public Health, University of California, San Diego, CA; 4Department of Physiotherapy, College of Medical Sciences, University of Maiduguri, Maiduguri, NIGERIA; 5Physical Activity, Sport and Recreation Research Focus Area, Faculty of Health Sciences, North-West University, Potchefstroom, SOUTH AFRICA; 6Baker IDI Heart and Diabetes Institute, Melbourne, AUSTRALIA; 7Centre for Research and Action in Public Health, University of Canberra, Canberra, AUSTRALIA; 8Department of Movement and Sport Sciences, Ghent University, Ghent, BELGIUM; 9Research Unit for Active Living, Department of Sport Science and Clinical Biomechanics, University of Southern Denmark, Odense, DENMARK; 10Faculty of Physical Culture, Institute of Active Lifestyle, Palacký University, Olomouc, CZECH REPUBLIC; 11National Institute of Public Health, University of Southern Denmark, Copenhagen, DENMARK; and 12Department of Health Sciences, Public University of Navarra, Pamplona, SPAIN.
Self-reported physical activity (PA) and sedentary behavior (SB) show significant differences compared to accelerometry, varying by country and demographics. These findings highlight the need for improved measurement tools for international PA and SB research.
Area of Science:
- Epidemiology
- Public Health
- Measurement Science
Background:
- Accurate assessment of physical activity (PA) and sedentary behavior (SB) is crucial for developing effective interventions and epidemiological studies.
- Understanding the factors influencing measurement accuracy is key to advancing research in PA and SB.
- Discrepancies between self-report and objective measures can impact study findings and intervention effectiveness.
Purpose of the Study:
- To examine the agreement between self-reported (International Physical Activity Questionnaire-Long Form [IPAQ-LF]) and accelerometry-based estimates of PA and SB.
- To identify correlates of between-method agreement across diverse international populations.
- To assess the influence of sociodemographic and behavioral factors on PA and SB measurement agreement.
Main Methods:
- Collected self-report (IPAQ-LF) and accelerometry data from 3865 adults in eight cities across six countries (2002-2011).
- Estimated relative agreement (correlation) and absolute disagreement (mean differences) between IPAQ-LF and accelerometry-based PA and SB variables.
- Examined sociodemographic characteristics and PA patterns as correlates of between-method agreement.
Main Results:
- Relative agreement between IPAQ-LF and accelerometry was small to moderate (r=0.05-0.37), influenced by age, sex, weight status, education, and PA type.
- Participants reported higher PA intensity and duration, and lower sitting time, compared to accelerometry, indicating significant absolute disagreement.
- Absolute disagreement persisted across cities/countries even after adjusting for sociodemographic and behavioral factors.
Conclusions:
- Systematic cultural, linguistic, and sociodemographic differences influence the agreement between self-reported (IPAQ-LF) and accelerometry-based PA and SB.
- Findings have significant implications for interpreting international PA and SB data and for studies examining correlates and determinants of behavior.
- Further research is needed to enhance the accuracy and cross-cultural validity of PA and SB measurement tools.
Related Concept Videos
Correlations
Correlation between ECG and Cardiac Cycle
A cardiac action potential originates in the SA node and spreads throughout the atria and the AV node in approximately 0.03 seconds. This results in the P wave in an ECG and triggers atrial contraction. The action potential is then briefly slowed at the AV node, allowing the atria to contract and fill the ventricles with blood before...
Coefficient of Correlation
If you suspect a linear relationship between x and y, then r can measure how strong the linear relationship is.
What the VALUE of r tells us:
The value of r is always between –1 and +1: –1 ≤ r ≤ 1.
The size of the correlation r indicates the...
Measuring Acceleration Due to Gravity
A simple pendulum can be described as a point mass and a string. Meanwhile, a physical pendulum is any object whose oscillations are similar to a simple pendulum, but cannot be modeled as a point mass on a string because its mass is distributed over a larger area. The behavior of a physical pendulum can be modeled using the principles of...
Relative Motion Analysis - Acceleration
Spearman's Rank Correlation Test
Spearman's test calculates correlation by...

