Calibration of the global physical activity questionnaire to Accelerometry measured physical activity and sedentary behavior

Details

• Alternative Title:
  BMC Public Health
• Personal Author:
  Metcalf, Kristen M. ; Baquero, Barbara I. ; Coronado Garcia, Mayra L. ; Francis, Shelby L. ; Janz, Kathleen F. ; Laroche, Helena H. ; Sewell, Daniel K.
• 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.
  
  
• Subjects:
  Accelerometry Adult Aged Calibration Exercise Female Global Health Humans Linear Models Male Middle Aged Sedentary Behavior Self Report Surveys And Questionnaires Young Adult

  More +
• 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/
• Volume:
  18
• Collection(s):
  CDC Public Access
• Main Document Checksum:
  urn:sha256:2573934dd680f9031387b2762f030a85df2f7c69e348424306614dfa977829cd
• Download URL:
  https://stacks.cdc.gov/view/cdc/53733/cdc_53733_DS1.pdf
• File Type:
  [PDF - 745.97 KB ]