scholarly journals Physical Activity Assessment: Biomarkers and Self-Report of Activity-Related Energy Expenditure in the WHI

2013 ◽  
Vol 177 (6) ◽  
pp. 576-585 ◽  
Author(s):  
M. L. Neuhouser ◽  
C. Di ◽  
L. F. Tinker ◽  
C. Thomson ◽  
B. Sternfeld ◽  
...  
Keyword(s):  
Physical Activity ◽  
Energy Expenditure ◽  
Self Report ◽  
Physical Activity Assessment ◽  
Activity Assessment ◽  
Related Energy

scholarly journals Measurement properties of self-report physical activity assessment tools in stroke: a protocol for a systematic review

BMJ Open ◽  
2017 ◽  
Vol 7 (2) ◽  
pp. e012655 ◽  
Author(s):  
Júlia Caetano Martins ◽  
Larissa Tavares Aguiar ◽  
Sylvie Nadeau ◽  
Aline Alvim Scianni ◽  
Luci Fuscaldi Teixeira-Salmela ◽  
...  
Keyword(s):  
Physical Activity ◽  
Systematic Review ◽  
Assessment Tools ◽  
Self Report ◽  
Measurement Properties ◽  
Physical Activity Assessment ◽  
Activity Assessment

Assessment of physical activity in youth

2008 ◽  
Vol 105 (3) ◽  
pp. 977-987 ◽  
Author(s):  
Kirsten Corder ◽  
Ulf Ekelund ◽  
Rebekah M. Steele ◽  
Nicholas J. Wareham ◽  
Søren Brage
Keyword(s):  
Physical Activity ◽  
Heart Rate ◽  
Energy Expenditure ◽  
Nonlinear Modeling ◽  
Habitual Physical Activity ◽  
Self Report ◽  
Multisensor Systems ◽  
Activity Assessment ◽  
Modeling Techniques ◽  
Biomechanical Changes

Despite much progress with physical activity assessment, the limitations concerning the accurate measurement of physical activity are often amplified in young people due to the cognitive, physiological, and biomechanical changes that occur during natural growth as well as a more intermittent pattern of habitual physical activity in youth compared with adults. This mini-review describes and compares methods to assess habitual physical activity in youth and discusses main issues regarding the use and interpretation of data collected with these techniques. Self-report instruments and movement sensing are currently the most frequently used methods for the assessment of physical activity in epidemiological research; others include heart rate monitoring and multisensor systems. Habitual energy expenditure can be estimated from these input measures with varying degree of uncertainty. Nonlinear modeling techniques, using accelerometry perhaps in combination with physiological parameters like heart rate or temperature, have the greatest potential for increasing the prediction accuracy of habitual physical activity energy expenditure. Although multisensor systems may be more accurate, this must be balanced against feasibility, a balance that shifts with technological and scientific advances and should be considered at the beginning of every new study.

Reported Physical Activity and Sedentary Behavior: Why Do You Ask?

2012 ◽  
Vol 9 (s1) ◽  
pp. S68-S75 ◽  
Author(s):  
Richard P. Troiano ◽  
Kelley K. Pettee Gabriel ◽  
Gregory J. Welk ◽  
Neville Owen ◽  
Barbara Sternfeld
Keyword(s):  
Physical Activity ◽  
Sedentary Behavior ◽  
Self Report ◽  
Measurement Tool ◽  
Breakout Session ◽  
Physical Activity Assessment ◽  
Sedentary Behaviors ◽  
Activity Assessment ◽  
Type Process ◽  
Closing The Gaps

Context:Advances in device-based measures have led researchers to question the value of reported measures of physical activity or sedentary behavior. The premise of the Workshop on Measurement of Active and Sedentary Behaviors: Closing the Gaps in Self-Report Methods, held in July 2010, was that assessment of behavior by self-report is a valuable approach.Objective:To provide suggestions to optimize the value of reported physical activity and sedentary behavior, we 1) discuss the constructs that devices and reports of behavior can measure, 2) develop a framework to help guide decision-making about the best approach to physical activity and sedentary behavior assessment in a given situation, and 3) address the potential for combining reported behavior methods with device-based monitoring to enhance both approaches.Process:After participation in a workshop breakout session, coauthors summarized the ideas presented and reached consensus on the material presented here.Conclusions:To select appropriate physical activity assessment methods and correctly interpret the measures obtained, researchers should carefully consider the purpose for assessment, physical activity constructs of interest, characteristics of the population and measurement tool, and the theoretical link between the exposure and outcome of interest.

scholarly journals Measurement properties of self-report physical activity assessment tools for patients with stroke: a systematic review

2019 ◽  
Vol 23 (6) ◽  
pp. 476-490 ◽  
Author(s):  
Júlia Caetano Martins ◽  
Larissa Tavares Aguiar ◽  
Sylvie Nadeau ◽  
Aline Alvim Scianni ◽  
Luci Fuscaldi Teixeira-Salmela ◽  
...  
Keyword(s):  
Physical Activity ◽  
Systematic Review ◽  
Assessment Tools ◽  
Self Report ◽  
Measurement Properties ◽  
Physical Activity Assessment ◽  
Activity Assessment

scholarly journals Development and Psychometrics of a Theory-Based Physical Activity Assessment Questionnaire for the Pregnant Women (PA2Q-PW)

2021 ◽  
Author(s):  
Leila Kianfard ◽  
Shamsaddin Niknami ◽  
Farkhonde Amin Shokravi ◽  
Sakineh Rakhshanderou
Keyword(s):  
Physical Activity ◽  
Pregnant Women ◽  
Physical Activity Behavior ◽  
Physical Activity Assessment ◽  
Cultural Model ◽  
Activity Assessment ◽  
Standard Tool ◽  
Education Interventions ◽  
Theoretical Foundations ◽  
Assessment Questionnaire

Abstract Backgrounds & Aims: There is evidence that physical activity plays an essential role in preventing pregnancy-related diseases. This study aimed to develop and design a theory-based physical activity assessment questionnaire for pregnant women (PA2Q-PW). Methods: The PEN-3 cultural model provided the theoretical foundations for the four subscales of our designed instrument; knowledge, attitude, nurture, and enabling. The primary questionnaire was designed with 41 items, and the questionnaire was modified according to the experts' reviews. At last, a group of 400 pregnant women participated in a study to calculate the psychometrics of the tool. Results: The highest score was seen in the knowledge subscale of PA2Q-PW, and the value of Cronbach's alpha for the subscales was from 0.89 to 0.97, and the value of ICC was from 0.76 to 0.89. The correlation (CVI & CVR indices) between the experts was satisfactory in all items of PA2Q-PW. The minimum loading factor for varimax rotation in the knowledge subscale was 0.41; the attitude was 0.56, nurtures were 0.38, and enabling was 0.27. Conclusion: PA2Q-PW is the first standard tool based on the PEN-3 cultural model that researchers can utilize to gather data and conduct the desired education interventions to change physical activity behavior in pregnant women during pregnancy.

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