Association between objectively measured physical behaviour and neck‐ and low back pain: a systematic review

A systematic review made by the Norwegian University of Science and Technology, Karolinska Institue, Roessingh Research and Development, the University of Twente, the University of Southern Denmark and the Nordic Institute of Chiropractic and Clinical Biomechanics, has been published in the European Journal of Pain.

This review reveals that, although having an active lifestyle is usually recommended to reduce and prevent neck or low back pain (NLBP), it is not the amount of physical activity itself the key factor for improvement, since at least among blue-collar workers, physical activity may actually increase the risk. Thus, it is important to take into account the compositional nature of physical behaviour in NLBP patients, and the impact in other health factors.

You can read the full paper here:

Back-UP posters presented in EFIC 2019

The two following posters were presented by the Back-UP Consortium in the 11th Congress of the European Pain Federation, EFIC 2019

The Back-Up project presented at the SBPR2018 in Groningen

On November 15, 2018 the Back-UP project was presented at the annual general meeting of the Society for Back Pain Research (SBPR) by Stephanie Jansen-Kosterink of RRD. Her presentation focused on the general aim the project, and some results of the first months were showcased. The project was met with enthusiasm by the audience and the presentation was followed by a lively discussion. The presentation slides are available to download:

Relationship between neck motion and self-reported pain in patients with whiplash associated disorders during the acute phase

A study made in the Institute of Biomechanics of Valencia, and published in Musculoskeletal Science and Practice, shows that the perceived pain of whiplash associated disorders is related to neck motion measures, with range of motion and smoothness of neck flexion are consistently related to pain perception. The statistical models developed in that study are able to estimate pain score changes with clinically insignificant errors.

Read the full paper here: