As citizens of the information age, humans leave digital traces of behavior in their communication and movement patterns through our cell phone. The Global Positioning System (GPS) technology tracks the way persons commute to school or work or when visiting family and friends. Circadian rhythmicity describes the concept that many of the bodily functions follow a roughly 24-hour rhythm. Usually, the ability to do concentrated and focused work is best during daytime while humans rest and sleep during nighttime. The current study wishes to look for a relationship between patterns in participants' cell phone use (Android only at this point) and several of their bodily functions.
Cell phones with internet access (so-called smartphones) represent a rich source for user activity data. Each time one places a call, sends a text message, or uses an app, a data trace is being produced which overall reflects the user's social activity and behavior. This data is called 'social sensing data'. Researchers connected this type of data to the health status of the person operating the cell phone. An example is that an outbreak of seasonal flu may lead to fewer calls and text messages among cell phone users. Thus, the social sensing data may show for example how severe an outbreak is and how fast it is spreading. "Circadian rhythmicity" describes the concept that many of the bodily functions follow a roughly 24-hour rhythm. Usually, the ability to do concentrated and focused work is best during daytime while rest and sleep occurs during nighttime. A disturbance of this pattern, for example by regular nightshift work, may lead to an increased disease risk, such as for the cardiovascular system, the heart and blood vessels. Natural factors within a body produce our 24-hour rhythm. This rhythm is affected by outside cues such as sunlight. Jet lag is a short-term form of a disturbed 24-hour rhythm. When a person travels fast through several time zones, by plane for example from the East to the West Coast of the US, s/he arrives with a time difference of 3 hours. Upon arrival, the body runs still at East Coast time, but is exposed to the environmental cues following the West Coast time, which may make the person feel groggy and disoriented at first. Within a couple of days the body time usually adjusts and the complaints discontinue. The current study wishes to look for a relationship between patterns in the participant's cell phone use (Android only at this point) and several of the bodily functions. As bodily functions the investigators will measure blood pressure and breakdown products (metabolites) in urine, blood and saliva samples. The investigators will collect stool samples and use swabs to collect the microbes inhabiting the mouth as well as the rectum. The investigators will also measure messenger ribonucleic acid (mRNA), messenger products of the participant's heritable information, in the blood. A cell phone application called "Ginger.io" will collect the participants' cell phone usage information. This application will also ask the participant several questions during the installation, during participation as well as at the end. Furthermore, the investigators will ask the participant about the dietary intake and habits. The aim is to learn how the 24-hour rhythm is connected to the social activity and behavior as well as blood pressure and metabolites as markers for the health status.
Study Type
OBSERVATIONAL
Enrollment
6
Institute for Translational Medicine and Therapeutics (ITMAT), University of Pennsylvania
Philadelphia, Pennsylvania, United States
Calls and Text Messages
Aggregate communication as behavioral features has been collected using the cell phone data streams.
Time frame: 3-4 months
Changes Over Time in Ambulatory Blood Pressure - Systolic Blood Pressure
Ambulatory blood pressure monitoring
Time frame: 48 hours
Percentage of Total Metabolites
Percentage of metabolites displaying different abundances in biosamples collected during the morning hours versus evening hours. Analysis was performed for all participants as a group.
Time frame: 48 hours
Mobility Radius
The approximate radius of an imaginary circle encompassing the various locations that a user has traveled across on a particular day (in miles)
Time frame: 3-4 months
Calls
Number of phone calls placed and received
Time frame: 3-4 months
Changes Over Time in Ambulatory Blood Pressure - Diastolic Blood Pressure
Ambulatory blood pressure monitoring
Time frame: 48 hours
Unanswered Calls
The number of calls unanswered.
Time frame: 3-4 months
Unique Contacts
The total number of unique individuals with whom a participant interacted through phone calls or sms messages indicating interaction diversity
Time frame: 3-4 months
Call Duration
The duration of calls (made + received)
Time frame: 3-4 months
Text Message Length
The total length of all sms messages (sent + received) in characters
Time frame: 3-4 months
Text Messages
The number of sms messages (sent + received)
Time frame: 3-4 months
Self-reported Sleep Times [Survey]
Cell phone administered survey where participants indicated start and end of sleep times. From this the total hours of sleep per night was calculated.
Time frame: 3-4 months
Time Asleep
Hours asleep per each 24 hour period measured by actigraphy
Time frame: 3-4 months
Physical Activity
Difference in locomotion between wake and sleep times
Time frame: 3-4 months
Changes Over Time in Nutrient Intake - Energy
Nutrient intake will be measured using food photography
Time frame: 48 hours
Changes Over Time in Ribonucleic Acids (RNA) - ARNTL (BMAL1) Normalized to GAPDH
Time frame: 48 hours
Genera Displaying Different Abundances Measured During Morning Versus Evening Hours in the Oral Microbiome
Analysis was performed for all participants as a group.
Time frame: 48 hours
Proteins Displaying Different Abundances Measured in the Morning Versus Evening Hours
Analysis was performed for all participants as a group.
Time frame: 48 hours
Changes Over Time in Kidney Function
Time frame: 48 hours
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