High frequency body mass measurement,feedback, and health behaviors |
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| Affiliation: | 1. Tilburg University, Department of Economics, The Netherlands;2. Utrecht University, The Netherlands;1. University of Essex, UK;2. World Bank, United States;3. University of Antwerp and KU Leuven, Belgium;1. The World Bank, Italy;2. The World Bank, USA;1. Center for Transformative Research on Health Behavior, Virginia Tech Carilion Research Institute, United States;2. Graduate Program of Translational Biology, Medicine & Health, Virginia Tech, United States;3. Department of Psychology, Virginia Tech, United States;4. Department of Pediatrics, University at Buffalo, United States;1. Landesa, Seattle, USA;2. University of North Carolina, Chapel Hill, USA;1. Research and Impact Assessment Division (RIA), Strategy and Knowledge Department (SKD) of International Fund for Agricultural Development (IFAD), Via Paolo di Dono 44, 00142 Rome, Italy;2. Institute of Development and Agricultural Economics, Faculty of Economics and Management, Leibniz University of Hanover, Koenigsworther Platz 1, 30167, Hannover, Germany |
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| Abstract: | We analyze weight and fat percentage measurements of respondents in an online general population panel in the Netherlands, collected using wireless scales, with an average frequency of 1.6 measurements per week. First, we document the existence of a weekly cycle; body mass is lowest on Fridays and highest on Mondays, showing significant (p < 0.01) differences of, on average, 0.2 kilogram in weight, 0.06 in BMI value, and 0.03 in fat percentage. Second, we find that in the general population fat-based measures of obesity point at a three times larger prevalence of obesity (53%) than BMI-based measures (17%). Third, we find that feedback that includes a recommended weight range increases the temporal variation in individual body mass by almost ten percent (sd for weight increases from 1.13 to 1.22; sd for BMI increases from 0.37 to 0.41; sd for fat percentage increases from 0.55 to 0.61. |
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| Keywords: | Body mass Fat percentage Obesity Feedback Health behaviors Information technology |
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