: Data-Field 90004

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Data

103,567 bulk items are available, covering 103,567 participants.

The values held within this field are coded links to files held within a bulk repository, not the actual data itself.

Notes

These time-series files describe a participant's accelerometer measured physical activity intensity every five seconds. Each measurement represents the average vector magnitude across all samples recorded in each five second epoch/period. This file may be useful for those interested in analysing accelerometer measured physical activity by time.

The first column contains the acceleration value where the units of measurement are milli-gravity. The second column indicates whether this is an actual measurement (value = <blank>) or imputed (value = 1). The time associated with each reading can be inferred from the very first row, which describes the start and end times of the data. Each successive reading is incremented by five seconds.

For example,
"acceleration (mg) - 2014-05-07 13:29:50 - 2014-05-13 09:50:25 - sampleRate = 5 seconds, imputed"
indicates that the first measurement time is at 2014-05-07 13:29:50, the second at 2014-05-07 13:29:55, the third at 2014-05-07 13:30:00 ... and the last at 2014-05-13 09:50:25.

Files are typically 760KB each in the raw state and usually compress to around 170KB.

1 Related Data-Field

Field ID	Description	Relationship
90001	Acceleration data - cwa format	Current Field is derived from Field 90001

6 Resources

Preview	Name	Res ID
	Accelerometer Enclosure Differences	2070
	Accelerometer Processing Source Code	90216
	Example acceleration intensity time-series	904
	Instructions for wearing activity monitor	141141
	Large Scale Population Assessment of Physical Activity Using Wrist Worn Accelerometers in UKB	169649
	Physical activity monitor : description and methods	131600

3 Applications

Application ID	Title
11867	Dissection of the Genetic Susceptibility of Obesity Traits and their Comorbidities
9126	Extracting Meaningful Health Information from Raw Accelerometer Data in UK Biobank
4483	Identification of modifiable and non-modifiable correlates of sedentary behaviours and physical activity in adults aged =65 years

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