The development of connected health devices has allowed for a more accurate assessment\nof a personâ??s state under free-living conditions. In this work, we use two mobile sensing devices and\ninvestigate the correlation between individualâ??s resting metabolic rate (RMR) and volatile organic\ncompounds (VOCs) exposure levels. A total of 17 healthy, young, and sedentary office workers were\nrecruited, measured for RMR with a mobile indirect calorimetry (IC) device, and compared with their\ncorresponding predicted RMR values from the Academy of Nutrition and Dieteticsâ?? recommended\nepidemiological equation, the Mifflinâ??St Jeor equation (MSJE). Individual differences in the RMR\nvalues from the IC device and the epidemiological equation were found, and the subjectsâ?? RMRs\nwere classified as normal, high, or low based on a cut-off of ±200 kcal/day difference with respect to\nthe predicted value. To study the cause of the difference, VOCs exposure levels of each participantâ??s\ndaytime working environment and nighttime resting environment were assessed using a second\nmobile sensing device for VOCs exposure detection. The results showed that all sedentary office\nworkers had a low VOCs exposure level (<2 ppmC), and there was no obvious correlation between\nVOCs exposure and the RMR difference. However, an additional participant who was a worker in an\nauto repair shop, showed high VOCs exposure with respect to the sedentary office worker population\nand a significant difference between measured and predicted RMR, with a low RMR of 500 kcal/day\ndifference. The mobile sensing devices have been demonstrated to be suitable for the assessment of\ndirect information of human healthâ??environment interactions at free-living conditions.
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