Indigophoton
Senior Member (Voting Rights)
An international study has revealed that people, regardless of where they live and their age, poorly guess how physically active they actually are.
The study, led by the University of Southern California (USC), used fitness trackers to investigate how physically active people consider themselves to be, versus how physically active they really are.
The research, which was co-authored by Loughborough University’s Professor Mark Hamerand a team of international researchers, has revealed that no one gets it right.
http://www.lboro.ac.uk/news-events/news/2018/april/its-not-your-fitness-tracker-thats-wrong-its-you/The findings indicate that scientists should proceed with caution when interpreting and comparing the results of international fitness studies that have utilized standardized questionnaires.
“When you rely on self-reported data, you’re not only relying on people to share a common understanding of survey terms, but to accurately remember the physical activity that they report,” says Kapteyn. “With the wide availability of low-cost activity tracking devices, we have the potential to make future studies more reliable.”
Professor Mark Hamer, from Loughborough’s School of Sport, Exercise and Health Sciences, added: “We suspected for a long time that self-reported physical activity is a poor measure.
From the paper,
http://jech.bmj.com/content/early/2018/04/09/jech-2017-209703Self-assessments involve several cognitive processes, including understanding the question asked, recall of relevant information and translation of information into response alternatives offered by the survey administrator.6 For instance, when asked to report their PA [physical activity] on a five-point scale from 1 being ‘inactive’ to 5 being ‘very active’, individuals will first assess their true PA and then translate the assessed activity into what it means to them to be above or below a given threshold (such as ‘active’ or ‘very active’). Individuals may attach different labels to describe the same situation, making it difficult to determine how much of the variation is attributable to true differences and how much is attributable to variations in their subjective thresholds.