Primary Outcome Measures:
Secondary Outcome Measures:
- Average daily step count (baseline, study) [ Time Frame: 30 days ]
This will be obtained by averaging the step count data 30 days before enrollment and for the 30 days of the study.
- Correlation between perception and actual walking [ Time Frame: 4 months ]
Calculate the correlation between perceived walking activity as measured by survey items and walking activity as determined by the number of actual steps walked
- Total step count (baseline) [ Time Frame: 30 days ]
The total step count collected from the history on the device (if supported) obtained by the step count data of 30 days before enrollment
- Standard Deviation of step count [ Time Frame: 4 months ]
- Ranking of cities by daily Average step count [ Time Frame: 4 months ]
All participants will be grouped by their location and location averages will be ranked
This will be the first study to measure walking activity using mobile phones. It is well known that physical activity can promote well-being and help prevent several chronic diseases. It is recommended that an individual should do moderate to vigorous walking for 30 minutes or walk approximately 10,000 steps everyday. Several studies have reported measuring walking activity using self-reported surveys, or pedometers in samples ranging from a dozen to a couple of thousand participants. However these studies have largely required participants to enter their walking data manually, either from memory or from pedometer recordings.
With the rapid availability of activity sensors embedded in smart-phones (such as Apple's iPhone version 5S and up and several Google's Android phone models), it is now possible to track physical activity data passively from the end-user and do so for longer durations as individuals have increasingly begun to use their Phones as a continuous device of use.