Journal of Diabetes Research / 2015 / Article / Tab 1

Research Article

Time-Series Analysis of Continuously Monitored Blood Glucose: The Impacts of Geographic and Daily Lifestyle Factors

Table 1

Explanatory variables.

Variable nameDescriptionValue/units in given time perioda

Calories consumedFrom food and beveragesTotal calories
Meds taken Of any type 0 = no, 1 = yes
Insulin taken Variety of slow, medium, and fast acting insulin medications0 = no, 1 = yes
Movement intensity Vector magnitude, square root of the sum of the squared 3-axis acceleration readingsAverage vector magnitudeb
Exercise time Aerobic, weights, walking, and so forthTotal minutes
Trip timeTime spent travelling by any modeTotal minutes
Automobile timeTime spent travelling by personal automobileTotal minutes
Public transit timeTime spent travelling by public transit (bus, streetcar, subway, and train)Total minutes
At-home time Time spent at homeTotal minutes
Work/school timeTime spent at work or schoolTotal minutes
Shopping timeTime spent shopping (grocery, clothing, etc.)Total minutes
Restaurants timeTime spent in a restaurant of any typeTotal minutes
Out-of-home time Time spent outside the homeTotal minutes
Time spent with othersTime spent with other people involvedTotal minutes
Time of day Daytime (7:00AM to 7:00PM) or nighttime 0 = daytime, 1 = nighttime
Distance homeStraight-line distance between current location and home location Average distance in kilometers

Time periods included the past 12 hours for aggregate correlation/regression analysis and over past 5 minutes for time series ARIMA modeling.
bLow values are typically associated with stationary activities and higher values are indicative of more physically active periods.

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