The generalized data management and collection protocol for Conductivity-Temperature-Depth Satellite Relay Data Loggers

Abstract The software routines for data sampling and processing that are implemented on-board telemetry devices (tags) called Conductivity-Temperature-Depth Satellite Relay Data Loggers (CTD-SRDLs) enable the simultaneous collection of biological and in-situ environmental data by animal-platforms over periods of weeks to months, despite severe energy and bandwidth limitations imposed by their relatively small size. This extended operational lifetime is made possible by the use of software protocols on-board the tags that manage sensors, data collection, storage, compression and transmission to ensure that the most useful data are sent at appropriate resolution while minimizing redundancy. While tag software is tailored to the particular species under study and the questions being addressed with a given field deployment, the philosophy behind Sea Mammal Research Unit Instrumentation Group (SMRU-IG) software protocols is to adopt a general set of principles to achieve the best results within the energy and bandwidth constraints. Here, we discuss these and review the general protocol that is used to simultaneously collect information on geographical movements, diving behaviour and in-situ oceanographic information from marine mammals

Maintaining musculoskeletal health using a behavioural therapy approach : a population-based randomised controlled trial (the MAmMOTH Study)

Acknowledgements: The study was funded by Arthritis Research UK (now Versus Arthritis) grant number: 20748. Costs for delivery of the intervention were provided by NHS Grampian, NHS Greater Glasgow and Clyde, and NHS Highland. The funder of the study had no role in the study design, data collection, data analysis, data interpretation, or writing of the report. We acknowledge the contribution of the trial steering committee to the successful conduct of the study. The members were Professor Ernest Choy (Cardiff University), Professor Tamar Pincus (Royal Holloway, University of London) and Gordon Taylor (Bath University). We thank Brian Taylor and Mark Forrest from the Centre for Healthcare Randomised Trials (CHaRT) at the University of Aberdeen for their technical assistance and Professor Graeme MacLennan, Director of CHaRT, for methodological input. Professor John Norrie (originally University of Aberdeen now University of Edinburgh) and Dr. Majid Artus (originally Keele University, now the Osmaston surgery, Derbyshire) were study investigators at the time of grant award but subsequently left the study. We thank Kathy Longley (a representative of Fibromyalgia Action UK) for her input to the grant application and the project as well as from members of the public on the University of Aberdeen College of Life Sciences and Medicine Research Interest Group. The prioritisation of “Prevention of chronic pain” arose from a 2012 meeting of the Arthritis Research UK Clinical Study Group in Pain to which patients contributed.Peer reviewedPostprintsupplementary_datasupplementary_dat

Assessment of the cortisol awakening response: Real-time analysis and curvilinear effects of sample timing inaccuracy

The cortisol awakening response (CAR) is typically measured in the domestic setting. Moderate sample timing inaccuracy has been shown to result in erroneous CAR estimates and such inaccuracy has been shown partially to explain inconsistency in the CAR literature. The need for more reliable measurement of the CAR has recently been highlighted in expert consensus guidelines where it was pointed out that less than 6% of published studies provided electronic-monitoring of saliva sampling time in the post-awakening period. Analyses of a merged data-set of published studies from our laboratory are presented. To qualify for selection, both time of awakening and collection of the first sample must have been verified by electronic-monitoring and sampling commenced within 15 min of awakening. Participants (n = 128) were young (median age of 20 years) and healthy. Cortisol values were determined in the 45 min post-awakening period on 215 sampling days. On 127 days, delay between verified awakening and collection of the first sample was less than 3 min (‘no delay’ group); on 45 days there was a delay of 4–6 min (‘short delay’ group); on 43 days the delay was 7–15 min (‘moderate delay’ group). Cortisol values for verified sampling times accurately mapped on to the typical post-awakening cortisol growth curve, regardless of whether sampling deviated from desired protocol timings. This provides support for incorporating rather than excluding delayed data (up to 15 min) in CAR analyses. For this population the fitted cortisol growth curve equation predicted a mean cortisol awakening level of 6 nmols/l (±1 for 95% CI) and a mean CAR rise of 6 nmols/l (±2 for 95% CI). We also modelled the relationship between real delay and CAR magnitude, when the CAR is calculated erroneously by incorrectly assuming adherence to protocol time. Findings supported a curvilinear hypothesis in relation to effects of sample delay on the CAR. Short delays of 4–6 min between awakening and commencement of saliva sampling resulted an overestimated CAR. Moderate delays of 7–15 min were associated with an underestimated CAR. Findings emphasize the need to employ electronic-monitoring of sampling accuracy when measuring the CAR in the domestic setting