Measuring Physical Activity and Sleep and how they relate to health, money, and wellbeing
This talk presents results from a number of different analyses of the measurement of physical activity (PA) and sleep, by both self-reports and accelerometry (measurement of physical activity and sleep by means of wrist worn activity trackers). I first present results from a study across three countries (Netherlands, England, USA) comparing PA measured both by self-reports and accelerometry; the two measurement methods produce wildly diverging results. Next, I consider anchoring vignettes and their potential of bridging the gap between both measurement approaches.
In the second part of the talk, I concentrate on the measurement of sleep and of sleep difficulties, once again measured both by self-reports and accelerometry; here we find that a combination of self-reports and accelerometry is likely to provide the most accurate measurements.
In the final part of the talk, I relate PA and sleep to both psychological variables (personality, mood) and economic variables (work, income, wealth, financial wellbeing), as well as to a number of health variables.