bias if the studies that are included with optimal data have specific characteristics. Another approach to harmonization is to use validation studies which report the statistical (e.g., regression) models of relationships between values from the less precise methods and the latent true level of
Matthew Pearce, Tom R.P. Bishop, Stephen Sharp, Kate Westgate, Michelle Venables, Nicholas J. Wareham and Søren Brage
Anantha Narayanan, Farzanah Desai, Tom Stewart, Scott Duncan and Lisa Mackay
, device name, number of devices, number of device axes, device sampling frequency, device placement position, ground truth method, features generated from raw accelerometer data, epoch length, machine-learning algorithm, validation method (eg, cross-validation), and the model performance results. In cases
Greg Petrucci Jr., Patty Freedson, Brittany Masteller, Melanna Cox, John Staudenmayer and John Sirard
validating research-grade accelerometers to objectively quantify the relationships among PA, SB, and health ( Matthews et al., 2008 ; Matthews et al., 2016 ; Troiano, McClain, Brychta, & Chen, 2014 ). Recently, similar technology and analytics initially used in research-grade accelerometers have been
Melanna F. Cox, Greg J. Petrucci Jr., Robert T. Marcotte, Brittany R. Masteller, John Staudenmayer, Patty S. Freedson and John R. Sirard
). Validation of the SOPLAY direct observation tool with an accelerometry-based physical activity monitor . Journal of Physical Activity and Health, 8 ( 8 ), 1108 – 1116 . PubMed ID: 22039129 doi: 10.1123/jpah.8.8.1108 Sasaki , J.E. , Hickey , A.M. , Staudenmayer , J.W. , John , D. , Kent , J
Samantha L. Winter, Sarah M. Forrest, Joanne Wallace and John H. Challis
-specific BSIPs, however, a key problem is that no female-specific geometric models for estimating BSIPs have been validated, despite significant differences in the shapes of segments between males and females. 3 There are several methods of estimating BSIPs. Scanning techniques such as dual x-ray absorptiometry
Levi Frehlich, Christine Friedenreich, Alberto Nettel-Aguirre, Jasper Schipperijn and Gavin R. McCormack
( Aadland & Ylvisåker, 2015 ) and has been validated in adults using indirect calorimetry ( Santos-Lozano et al., 2013 ) and doubly labelled water ( Chomistek et al., 2017 ) as criterion measures. GPS Monitoring GPS monitors (model: Qstarz BT-Q1000XT ® ; Qstarz International Inc., Taiwan) captured the
Maria Hagströmer, Barbara E. Ainsworth, Lydia Kwak and Heather R. Bowles
The quality of methodological papers assessing physical activity instruments depends upon the rigor of a study’s design.
We present a checklist to assess key criteria for instrument validation studies.
A Medline/PubMed search was performed to identify guidelines for evaluating the methodological quality of instrument validation studies. Based upon the literature, a pilot version of a checklist was developed consisting of 21 items with 3 subscales: 1) quality of the reported data (9 items: assess whether the reported information is sufficient to make an unbiased assessment of the findings); 2) external validity of the results (3 items: assess the extent to which the findings are generalizable); 3) internal validity of the study (9 items: assess the rigor of the study design). The checklist was tested for interrater reliability and feasibility with 6 raters.
Raters viewed the checklist as helpful for reviewing studies. They suggested minor wording changes for 8 items to clarify intent. One item was divided into 2 items for a total of 22 items.
Checklists may be useful to assess the quality of studies designed to validate physical activity instruments. Future research should test checklist internal consistency, test-retest reliability, and criterion validity.
Louise C. Mâsse and Judith E. de Niet
Over the years, self-report measures of physical activity (PA) have been employed in applications for which their use was not supported by the validity evidence.
To address this concern this paper 1) provided an overview of the sources of validity evidence that can be assessed with self-report measures of PA, 2) discussed the validity evidence needed to support the use of self-report in certain applications, and 3) conducted a case review of the 7-day PA Recall (7-d PAR).
This paper discussed 5 sources of validity evidence, those based on: test content; response processes; behavioral stability; relations with other variables; and sensitivity to change. The evidence needed to use self-report measures of PA in epidemiological, surveillance, and intervention studies was presented. These concepts were applied to a case review of the 7-d PAR. The review highlighted the utility of the 7-d PAR to produce valid rankings. Initial support, albeit weaker, for using the 7-d PAR to detect relative change in PA behavior was found.
Overall, self-report measures can validly rank PA behavior but they cannot adequately quantify PA. There is a need to improve the accuracy of self-report measures of PA to provide unbiased estimates of PA.
David P. Looney, Mark J. Buller, Andrei V. Gribok, Jayme L. Leger, Adam W. Potter, William V. Rumpler, William J. Tharion, Alexander P. Welles, Karl E. Friedl and Reed W. Hoyt
precision (bias, −0.03 ± 0.32°C) when validated on over 52,000 observations from 83 volunteers from 9 different studies that involved intense, strenuous activity and heat stress ( Buller et al., 2013 ). However, ECTemp ™ ’s original quadratic equation for describing the gradual saturation in HR at higher CT
Natalie M. Golaszewski and John B. Bartholomew
( Cohen, Underwood, & Gottlieb, 2000a ). There are five well-established forms of functional social support—emotional, companionship, instrumental, informational, and validation ( Argyle, 1992 ; Berkman & Glass, 2000 ; Cohen et al., 2000b ; House, 1981 ). Emotional support is defined as advice