Details:

Alternative Title:
BMC Public Health
Publisher's site:
http://dx.doi.org/10.1186/s12889-018-5310-3
Personal Author:
Metcalf, Kristen M. ; Baquero, Barbara I. ; Coronado Garcia, Mayra L. ; Francis, Shelby L. ; Janz, Kathleen F. ; ... More +
Metcalf, Kristen M. ; Baquero, Barbara I. ; Coronado Garcia, Mayra L. ; Francis, Shelby L. ; Janz, Kathleen F. ; Laroche, Helena H. ; Sewell, Daniel K. Less -
Description:
Background

Self-report questionnaires are a valuable method of physical activity measurement in public health research; however, accuracy is often lacking. The purpose of this study is to improve the validity of the Global Physical Activity Questionnaire by calibrating it to 7 days of accelerometer measured physical activity and sedentary behavior.

Methods

Participants (n = 108) wore an ActiGraph GT9X Link on their non-dominant wrist for 7 days. Following the accelerometer wear period, participants completed a telephone Global Physical Activity Questionnaire with a research assistant. Data were split into training and testing samples, and multivariable linear regression models built using functions of the GPAQ self-report data to predict ActiGraph measured physical activity and sedentary behavior. Models were evaluated with the testing sample and an independent validation sample (n = 120) using Mean Squared Prediction Errors.

Results

The prediction models utilized sedentary behavior, and moderate- and vigorous-intensity physical activity self-reported scores from the questionnaire, and participant age. Transformations of each variable, as well as break point analysis were considered. Prediction errors were reduced by 77.7–80.6% for sedentary behavior and 61.3–98.6% for physical activity by using the multivariable linear regression models over raw questionnaire scores.

Conclusions

This research demonstrates the utility of calibrating self-report questionnaire data to objective measures to improve estimates of physical activity and sedentary behavior. It provides an understanding of the divide between objective and subjective measures, and provides a means to utilize the two methods as a unified measure.


Subject:
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Accelerometry
Calibration
Measurement
Physical Activity
Public Health
Research Article
Sedentary Behavior
Self-report

Source:
BMC Public Health. 18.
Pubmed ID:
29587694
Pubmed Central ID:
PMC5870179
Document Type:
Journal Article
Funding:
R01 HL119882/HL/NHLBI NIH HHS/United States ; U48 DP005021/DP/NCCDPHP CDC HHS/United States ; 1 U48 DP005021-01/Centers for Disease Control and Prevention/ ; 5R01 HL119882/National Institutes of Health/
R01 HL119882/HL/NHLBI NIH HHS/United States ; U48 DP005021/DP/NCCDPHP CDC HHS/United States ; 1 U48 DP005021-01/Centers for Disease Control and Prevention/ ; 5R01 HL119882/National Institutes of Health/ Less -
Collection(s):
CDC Public Access
Main Document Checksum:
[+]
urn:sha256:2573934dd680f9031387b2762f030a85df2f7c69e348424306614dfa977829cd
File Type:

Supporting Files

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