Quantification of free-living activity patterns using accelerometry in adults with mental illness.

ABSTRACT: Physical activity is disrupted in many psychiatric disorders. Advances in everyday technologies - such as accelerometers in smart phones - opens exciting possibilities for non-intrusive acquisition of activity data. Successful exploitation of this opportunity requires the validation of analytical methods that can capture the full movement spectrum. The study aim was to demonstrate an analytical approach to characterise accelerometer-derived activity patterns. Here, we use statistical methods to characterize accelerometer-derived activity patterns from a heterogeneous sample of 99 community-based adults with mental illnesses. Diagnoses were screened using the Mini International Neuropsychiatric Interview, and participants wore accelerometers for one week. We studied the relative ability of

SUBMITTER: Chapman JJ 

PROVIDER: S-EPMC5339808 | biostudies-literature | 2017 Mar

REPOSITORIES: biostudies-literature