Physical activity phenotyping with activity bigrams, and their association with BMI.

ABSTRACT:

Background

Analysis of physical activity usually focuses on a small number of summary statistics derived from accelerometer recordings: average counts per minute and the proportion of time spent in moderate-vigorous physical activity or in sedentary behaviour. We show how bigrams, a concept from the field of text mining, can be used to describe how a person's activity levels change across (brief) time points. These variables can, for instance, differentiate between two people spending the same time in moderate activity, where one person often stays in moderate activity from one moment to the next and the other does not.

Methods

We use data on 4810 participants of the Avon Longitudinal Study of Parents and Children (ALSPAC). We generate a profile of bigram frequencies for eac

SUBMITTER: Millard LAC 

PROVIDER: S-EPMC5837541 | biostudies-literature | 2017 Dec

REPOSITORIES: biostudies-literature