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1.
Int J Obes (Lond) ; 40(11): 1809-1812, 2016 11.
Article in English | MEDLINE | ID: mdl-27478922

ABSTRACT

BACKGROUND: Sedentary behaviour (SB) is an important risk factor for a number of chronic diseases. Although gaps remain in our knowledge of the elements of SB most associated with reduced health outcomes, measuring SB is important, especially in less active patient populations where treatment-related changes may be seen first in changes in SB. METHODS: We review current published work in the measurement of SB to make recommendations for SB measurement in clinical studies. RESULTS: To help move our understanding of the area forward, we propose a set of derived measures of SB that can be easily understood and interpreted. CONCLUSION: Although there is more work required to determine and validate the most clinically relevant and sensitive measures of SB, there is enough understanding of how to measure SB to enable its inclusion in study protocols.


Subject(s)
Accelerometry , Health Behavior , Sedentary Behavior , Accelerometry/statistics & numerical data , Exercise , Humans , Motor Activity , Social Determinants of Health , United Kingdom/epidemiology
2.
J Prev Alzheimers Dis ; 3(3): 173-176, 2016.
Article in English | MEDLINE | ID: mdl-29205256

ABSTRACT

More and more people in the industrialised world use wearables and smartphones to monitor their health and fitness. These devices are often used in combination with special apps to monitor and document daily activities and sleep. It would appear to be a logical step to assess the relevance of these devices in drug development trials. In contrast to the consumer devices, the technology used in clinical trials needs to be validated and compliant with the relevant regulations. Even under these complex requirements, wearables offer a number of new opportunities to objectively capture clinically relevant outcome measures -potentially with lower burden for patients and site staff. As an example, we describe the use in Alzheimer's disease drug development studies. This is an indication where there have been a number of failures, in part due to the difficulties this patient population has in reliably completing existing tools. In addition rater scales add complexity due to inter- and intra-rater variability.

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