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.

Summary

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.

Related Concept Videos

Correlations02:20

Correlations

Correlation means that there is a relationship between two or more variables (such as ice cream consumption and crime), but this relationship does not necessarily imply cause and effect. When two variables are correlated, it simply means that as one variable changes, so does the other. We can measure correlation by calculating a statistic known as a correlation coefficient. A correlation coefficient is a number from -1 to +1 that indicates the strength and direction of the relationship between...
37.0K
Correlation between ECG and Cardiac Cycle01:25

Correlation between ECG and Cardiac Cycle

The electrical signals recorded on an electrocardiogram (ECG) occur before the mechanical processes of contraction and relaxation during the 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...
14.6K
Coefficient of Correlation01:12

Coefficient of Correlation

The correlation coefficient, r, developed by Karl Pearson in the early 1900s, is numerical and provides a measure of strength and direction of the linear association between the independent variable x and the dependent variable y.
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...
9.1K
Measuring Acceleration Due to Gravity01:12

Measuring Acceleration Due to Gravity

Consider a coffee mug hanging on a hook in a pantry. If the mug gets knocked, it oscillates back and forth like a pendulum until the oscillations die out.
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...
1.4K
Relative Motion Analysis - Acceleration01:10

Relative Motion Analysis - Acceleration

A slider-crank mechanism converts rotational motion from the crank into linear motion of the slider or vice versa. This mechanism consists of three main parts: the crank, the connecting rod, and the slider. The movement of the slider-crank is an example of general plane motion as the fluctuating angle between the crank and the connecting rod. Consider a segment AB where point A is at the end of the slider and point B is on the diametrically opposite end to point A, on a crack. The variance in...
1.0K
Spearman's Rank Correlation Test01:20

Spearman's Rank Correlation Test

Spearman's rank correlation test, also known as Spearman's rho, is a nonparametric method for assessing the strength and direction of association between two variables. This test is particularly valuable when the data distribution is unknown or when the assumption of normality does not hold. Named after the English psychologist and statistician Dr. Charles Edward Spearman, it serves as the nonparametric counterpart to Pearson's correlation coefficient.
Spearman's test calculates correlation by...
1.6K