BiomarkersHuman trial406 participantsRandomised trial

Algorithm measured sitting in overweight postmenopausal women

The algorithm’s accuracy measures exceeded 84.8% against a reference device in a randomised trial of 406 postmenopausal women who were overweight.

Women wearing hip sensors sit on chairs beside groups standing or stepping away, with occupied seats contrasting with empty chairs.

Journal for the Measurement of Physical Behaviour

Researchers tested a sitting-detection algorithm in a randomised trial of 406 postmenopausal women aged 55 or older who were overweight. It analysed hip-worn movement-sensor data collected during everyday life. The trial had three groups: healthy living as the control, reducing sitting, and increasing breaks from sitting. Researchers compared measurements at two timepoints with a reference device and a standard method based on movement thresholds.

The algorithm’s accuracy measures exceeded 84.8%. In the reducing-sitting group, it estimated an intervention-versus-control change in daily sedentary time of 38.2 minutes, compared with 65.1 minutes for the reference device and 0.28 minutes for the standard method. In the group increasing breaks, it estimated a change of four breaks per day, compared with 22 for the reference device and fewer than one for the standard method.

Why it matters

Sedentary behaviour is a risk factor for cardiometabolic disease. Reliable measurement from hip-worn sensors could help researchers assess interventions aimed at reducing sitting.

Caveats

This study validated a measurement method, not whether changing sitting improved health. The algorithm was less sensitive to changes than the reference device, and the findings came from postmenopausal women who were overweight.

The paper

Validating the Longitudinal Assessment of Sedentary Behavior in a Randomized Controlled Trial via a Deep Learning Algorithm